cal/paper-dynasty-card-creation
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Huge progress on pitching_stats

Browse Source
This commit is contained in:
Cal Corum 2024-10-25 15:36:47 -05:00
parent b3102201c8
commit d74ea59d40
2 changed files with 387 additions and 76 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

146
pitching_stats.csv Normal file
View File

@ -0,0 +1,146 @@
pitcher_id,last_name,use_name,key_mlbam,key_retro,key_bbref,key_fangraphs,TBF_vL,TBF_vR,AB_vL,AB_vR,HR_vR,HR_vL,1B_vR,1B_vL,2B_vR,2B_vL,3B_vR,3B_vL,BB_vR,BB_vL,SO_vR,SO_vL,HBP_vR,HBP_vL,IBB_vL,IBB_vR,FB_vL,FB_vR,GB_vL,GB_vR,LD_vL,LD_vR,H_vL,H_vR,AVG_vL,AVG_vR,OBP_vL,OBP_vR,SLG_vL,SLG_vR
finlc001,Finley,Chuck,114133,finlc001,finlech01,384,50.0,135,43,126,2.0,0.0,15.0,12.0,5.0,0.0,0.0,0.0,11.0,6.0,32,12.0,0.0,1.0,0.0,0.0,7,33,17,42,7,14,12.0,22.0,0.27907,0.1746,0.38,0.24444,0.27907,0.2619
petta001,Pettitte,Andy,120485,petta001,pettian01,840,39.0,124,38,113,1.0,0.0,23.0,8.0,6.0,0.0,0.0,0.0,13.0,1.0,19,14.0,2.0,1.0,0.0,0.0,7,13,11,42,5,26,8.0,30.0,0.21053,0.26549,0.25641,0.3629,0.21053,0.34513
hillk001,Hill,Ken,115941,hillk001,hillke01,1005827,98.0,60,90,57,0.0,0.0,12.0,11.0,2.0,12.0,0.0,1.0,2.0,8.0,10,9.0,0.0,1.0,0.0,0.0,28,13,34,26,12,8,24.0,14.0,0.26667,0.24561,0.33673,0.26667,0.42222,0.2807
welld001,Wells,David,124071,welld001,wellsda01,855,33.0,128,33,125,6.0,3.0,12.0,5.0,6.0,0.0,0.0,0.0,9.0,2.0,27,2.0,0.0,0.0,0.0,0.0,14,25,8,38,5,16,8.0,24.0,0.24242,0.192,0.30303,0.25781,0.51515,0.384
nelsj001,Nelson,Jeff,119704,nelsj001,nelsoje01,1092,25.0,44,21,39,0.0,0.0,8.0,5.0,1.0,2.0,1.0,0.0,4.0,1.0,8,4.0,2.0,2.0,1.0,0.0,6,5,7,13,4,7,7.0,10.0,0.33333,0.25641,0.4,0.36364,0.42857,0.33333
mcdoj001,McDowell,Jack,118656,mcdoj001,mcdowja01,1008473,75.0,52,72,51,3.0,2.0,10.0,8.0,6.0,3.0,0.0,0.0,1.0,7.0,7,17.0,0.0,0.0,0.0,0.0,13,15,27,12,7,12,13.0,19.0,0.18056,0.37255,0.26667,0.38462,0.30556,0.66667
burbd001,Burba,Dave,111692,burbd001,burbada01,1239,86.0,70,78,65,1.0,2.0,7.0,10.0,3.0,5.0,1.0,1.0,6.0,6.0,11,16.0,0.0,1.0,1.0,0.0,23,22,25,23,10,7,18.0,12.0,0.23077,0.18462,0.2907,0.25714,0.39744,0.30769
mesaj001,Mesa,Jose,118986,mesaj001,mesajo01,961,24.0,46,25,46,2.0,1.0,4.0,3.0,4.0,0.0,0.0,0.0,4.0,0.0,11,4.0,1.0,0.0,1.0,0.0,5,8,8,17,5,4,4.0,10.0,0.16,0.21739,0.16667,0.32609,0.28,0.43478
watsa001,Watson,Allen,123982,watsa001,watsoal01,1013675,35.0,85,35,79,4.0,1.0,17.0,4.0,6.0,5.0,1.0,0.0,5.0,2.0,10,9.0,1.0,0.0,0.0,0.0,5,20,12,37,6,10,10.0,28.0,0.28571,0.35443,0.34286,0.4,0.51429,0.60759
colob001,Colon,Bartolo,112526,colob001,colonba01,375,71.0,53,68,48,0.0,4.0,6.0,9.0,1.0,6.0,0.0,0.0,6.0,5.0,16,10.0,0.0,1.0,0.0,0.0,17,6,26,18,10,5,19.0,7.0,0.27941,0.14583,0.35211,0.24528,0.54412,0.16667
nagyc001,Nagy,Charles,119640,nagyc001,nagych01,397,86.0,76,85,75,4.0,6.0,16.0,8.0,2.0,3.0,0.0,0.0,6.0,4.0,10,15.0,0.0,1.0,1.0,0.0,19,17,34,29,12,15,17.0,22.0,0.2,0.29333,0.25581,0.36842,0.44706,0.48
martp001,Martinez,Pedro,118377,martp001,martipe02,200,92.0,70,87,68,1.0,2.0,8.0,12.0,2.0,3.0,0.0,0.0,5.0,5.0,28,29.0,0.0,1.0,1.0,0.0,17,14,13,14,19,12,17.0,11.0,0.1954,0.16176,0.25,0.22857,0.29885,0.23529
waket001,Wakefield,Tim,123801,waket001,wakefti01,219,83.0,91,80,89,2.0,4.0,8.0,15.0,3.0,9.0,0.0,0.0,5.0,4.0,17,10.0,2.0,0.0,0.0,0.0,26,24,17,18,21,16,28.0,13.0,0.35,0.14607,0.38554,0.21978,0.6125,0.24719
lowed001,Lowe,Derek,117955,lowed001,lowede01,199,51.0,49,51,49,0.0,1.0,4.0,8.0,1.0,3.0,0.0,0.0,3.0,3.0,14,6.0,1.0,0.0,1.0,0.0,8,4,20,21,12,5,12.0,5.0,0.23529,0.10204,0.29412,0.18367,0.35294,0.12245
saunt001,Saunders,Tony,121711,saunt001,saundto01,1011463,27.0,87,28,78,1.0,0.0,12.0,4.0,1.0,4.0,0.0,3.0,13.0,1.0,20,3.0,1.0,0.0,0.0,1.0,10,16,11,18,3,13,11.0,14.0,0.39286,0.17949,0.44444,0.32184,0.75,0.23077
alvaw001,Alvarez,Wilson,110209,alvaw001,alvarwi01,1193,26.0,101,23,97,1.0,0.0,17.0,2.0,2.0,2.0,0.0,0.0,8.0,3.0,20,4.0,1.0,1.0,0.0,0.0,5,26,6,28,4,12,4.0,20.0,0.17391,0.20619,0.30769,0.28713,0.26087,0.25773
arror001,Arrojo,Rolando,134361,arror001,arrojro01,174,88.0,64,83,63,0.0,3.0,10.0,18.0,0.0,5.0,1.0,1.0,1.0,6.0,13,10.0,2.0,2.0,0.0,0.0,14,10,37,24,19,11,27.0,11.0,0.3253,0.1746,0.39773,0.21875,0.51807,0.20635
drabd001,Drabek,Doug,113538,drabd001,drabedo01,1003473,49.0,50,49,47,3.0,3.0,10.0,7.0,0.0,1.0,0.0,1.0,4.0,3.0,6,5.0,0.0,0.0,0.0,0.0,14,19,20,12,5,6,12.0,13.0,0.2449,0.2766,0.30612,0.34,0.4898,0.46809
erics001,Erickson,Scott,113884,erics001,ericksc01,137,99.0,67,100,69,3.0,0.0,11.0,17.0,1.0,8.0,0.0,0.0,2.0,7.0,13,11.0,1.0,0.0,1.0,0.0,5,12,53,29,20,9,25.0,15.0,0.25,0.21739,0.32323,0.26866,0.33,0.36232
benea001,Benes,Andy,110854,benea001,benesan01,1144,108.0,81,97,70,3.0,5.0,13.0,11.0,1.0,9.0,0.0,0.0,6.0,8.0,10,11.0,2.0,0.0,1.0,1.0,29,10,33,37,13,7,25.0,17.0,0.25773,0.24286,0.30556,0.30864,0.50515,0.38571
kiled001,Kile,Darryl,117046,kiled001,kileda01,1163,105.0,86,99,82,5.0,1.0,7.0,19.0,0.0,4.0,0.0,0.0,9.0,13.0,14,15.0,1.0,0.0,0.0,0.0,18,13,31,29,22,13,24.0,12.0,0.24242,0.14634,0.35238,0.25581,0.31313,0.32927
blaiw001,Blair,Willie,111060,blaiw001,blairwi01,1001033,82.0,70,74,69,5.0,2.0,16.0,8.0,4.0,5.0,0.0,0.0,2.0,8.0,11,6.0,1.0,0.0,0.0,0.0,26,13,27,26,8,8,15.0,25.0,0.2027,0.36232,0.28049,0.4,0.35135,0.63768
thomj005,Thomson,John,123307,thomj005,thomsjo01,453,57.0,59,59,55,2.0,0.0,15.0,7.0,1.0,3.0,1.0,0.0,4.0,4.0,10,9.0,1.0,0.0,0.0,0.0,10,13,24,15,7,13,10.0,19.0,0.16949,0.34545,0.24561,0.40678,0.22034,0.50909
andeb002,Anderson,Brian,110230,andeb002,anderbr02,44,21.0,98,22,98,4.0,0.0,17.0,2.0,3.0,3.0,0.0,0.0,2.0,0.0,16,0.0,0.0,0.0,0.0,0.0,6,25,8,24,4,18,5.0,24.0,0.22727,0.2449,0.2381,0.26531,0.36364,0.39796
astap001,Astacio,Pedro,110359,astap001,astacpe01,862,88.0,68,77,66,3.0,1.0,12.0,7.0,5.0,4.0,1.0,0.0,4.0,14.0,12,16.0,3.0,2.0,0.0,0.0,9,9,35,24,10,15,12.0,21.0,0.15584,0.31818,0.31818,0.41176,0.24675,0.56061
dejem001,DeJean,Mike,113211,dejem001,dejeami01,682,21.0,40,22,35,2.0,0.0,5.0,2.0,3.0,1.0,1.0,0.0,6.0,0.0,1,3.0,1.0,0.0,0.0,0.0,4,5,13,20,1,4,3.0,11.0,0.13636,0.31429,0.14286,0.45,0.18182,0.62857
suppj001,Suppan,Jeff,122987,suppj001,suppaje01,633,54.0,55,53,56,4.0,2.0,12.0,6.0,1.0,2.0,0.0,1.0,3.0,4.0,10,9.0,0.0,0.0,0.0,0.0,10,12,20,19,8,9,11.0,17.0,0.20755,0.30357,0.27778,0.36364,0.39623,0.53571
gardm001,Gardner,Mark,114610,gardm001,gardnma01,1004529,40.0,77,38,73,4.0,0.0,10.0,5.0,5.0,4.0,1.0,1.0,5.0,3.0,14,7.0,0.0,0.0,1.0,1.0,6,7,12,24,7,13,10.0,20.0,0.26316,0.27397,0.325,0.32468,0.42105,0.53425
johnj006,Johnstone,John,116651,johnj006,johnsjo07,1006475,21.0,42,18,37,0.0,0.0,4.0,0.0,2.0,0.0,0.0,0.0,5.0,1.0,9,6.0,0.0,0.0,1.0,0.0,2,7,8,11,0,5,0.0,6.0,0.0,0.16216,0.04762,0.2619,0.0,0.21622
adamj001,Adamson,Joel,110069,adamj001,adamsjo02,1000056,20.0,78,17,69,4.0,0.0,9.0,5.0,2.0,0.0,0.0,0.0,9.0,2.0,13,1.0,2.0,1.0,0.0,0.0,5,18,8,23,2,7,5.0,15.0,0.29412,0.21739,0.4,0.33333,0.29412,0.42029
darwd001,Darwin,Danny,113060,darwd001,darwida01,1002996,67.0,49,62,49,2.0,1.0,11.0,7.0,4.0,1.0,0.0,1.0,2.0,5.0,10,10.0,0.0,0.0,0.0,0.0,12,10,23,20,11,5,10.0,17.0,0.16129,0.34694,0.22388,0.38776,0.25806,0.55102
estes001,Estes,Shawn,113915,estes001,estessh01,873,21.0,121,21,114,2.0,0.0,17.0,5.0,4.0,0.0,0.0,0.0,17.0,1.0,25,3.0,1.0,0.0,0.0,2.0,3,17,8,40,4,18,5.0,23.0,0.2381,0.20175,0.28571,0.33884,0.2381,0.28947
medir001,Medina,Rafael,133241,medir001,medinra01,1008716,39.0,53,36,48,1.0,0.0,9.0,7.0,3.0,2.0,1.0,2.0,4.0,7.0,7,4.0,0.0,0.0,0.0,2.0,6,16,14,11,8,12,11.0,14.0,0.30556,0.29167,0.46154,0.33962,0.47222,0.45833
sancj001,Sanchez,Jesus,133260,sancj001,sanchje01,1476,24.0,53,17,45,2.0,0.0,5.0,5.0,0.0,0.0,0.0,0.0,6.0,7.0,7,3.0,0.0,0.0,0.0,1.0,2,11,9,12,2,8,5.0,7.0,0.29412,0.15556,0.5,0.24528,0.29412,0.28889
larka001,Larkin,Andy,117500,larka001,larkian01,1007345,44.0,49,38,49,1.0,1.0,6.0,7.0,1.0,0.0,1.0,0.0,2.0,8.0,5,7.0,0.0,0.0,1.0,1.0,9,10,13,25,3,4,8.0,9.0,0.21053,0.18367,0.36364,0.22449,0.28947,0.30612
heref001,Heredia,Felix,115803,heref001,heredfe01,1304,33.0,47,33,43,1.0,0.0,7.0,2.0,4.0,1.0,0.0,1.0,9.0,2.0,7,8.0,1.0,0.0,0.0,0.0,5,12,11,6,4,11,4.0,12.0,0.12121,0.27907,0.18182,0.46809,0.21212,0.44186
meadb001,Meadows,Brian,132785,meadb001,meadobr01,998,74.0,76,75,77,0.0,1.0,12.0,14.0,1.0,4.0,2.0,0.0,3.0,3.0,10,6.0,0.0,0.0,1.0,0.0,17,12,24,33,18,13,19.0,15.0,0.25333,0.19481,0.2973,0.23684,0.34667,0.25974
hernl003,Hernandez,Livan,115817,hernl003,hernali01,1116,75.0,81,72,74,4.0,2.0,15.0,7.0,1.0,1.0,0.0,1.0,7.0,10.0,18,14.0,1.0,0.0,0.0,1.0,18,16,21,12,9,15,11.0,20.0,0.15278,0.27027,0.28,0.34568,0.27778,0.44595
glavt001,Glavine,Tom,114849,glavt001,glavito02,90,23.0,107,24,101,0.0,2.0,17.0,2.0,6.0,0.0,0.0,0.0,7.0,1.0,20,5.0,0.0,0.0,0.0,0.0,3,19,9,44,4,13,4.0,23.0,0.16667,0.22772,0.21739,0.28037,0.41667,0.28713
martd001,Martinez,Dennis,118371,martd001,martide01,1008161,37.0,46,36,48,2.0,1.0,8.0,10.0,2.0,0.0,1.0,0.0,1.0,0.0,11,5.0,0.0,0.0,3.0,0.0,7,12,18,11,5,11,11.0,13.0,0.30556,0.27083,0.2973,0.30435,0.38889,0.47917
maddg002,Maddux,Greg,118120,maddg002,maddugr01,104,65.0,101,62,104,1.0,0.0,15.0,16.0,2.0,1.0,0.0,0.0,0.0,3.0,21,10.0,1.0,0.0,2.0,0.0,8,9,32,55,9,13,17.0,18.0,0.27419,0.17308,0.30769,0.18812,0.29032,0.22115
eldrc001,Eldred,Cal,113793,eldrc001,eldreca01,1653,66.0,86,60,79,1.0,1.0,15.0,9.0,1.0,2.0,0.0,1.0,8.0,5.0,13,12.0,0.0,1.0,0.0,0.0,11,19,17,29,13,13,13.0,17.0,0.21667,0.21519,0.28788,0.2907,0.33333,0.26582
karls001,Karl,Scott,116845,karls001,karlsc01,1006703,27.0,98,24,99,1.0,1.0,17.0,3.0,4.0,2.0,0.0,0.0,5.0,2.0,17,3.0,0.0,2.0,0.0,0.0,1,16,12,38,7,17,6.0,22.0,0.25,0.22222,0.37037,0.27551,0.45833,0.29293
neagd001,Neagle,Denny,119673,neagd001,neaglde01,441,33.0,131,34,130,4.0,1.0,22.0,3.0,3.0,1.0,0.0,0.0,5.0,2.0,27,3.0,0.0,0.0,0.0,0.0,7,34,11,33,8,24,5.0,29.0,0.14706,0.22308,0.21212,0.25954,0.26471,0.33846
gracm002,Grace,Mike,115008,gracm002,gracemi02,1004915,53.0,57,56,52,1.0,0.0,6.0,12.0,1.0,4.0,0.0,1.0,7.0,3.0,15,5.0,1.0,0.0,1.0,0.0,6,11,29,16,8,6,17.0,8.0,0.30357,0.15385,0.37736,0.2807,0.41071,0.23077
millk004,Millwood,Kevin,119154,millk004,millwke01,106,54.0,65,50,65,0.0,0.0,10.0,10.0,1.0,1.0,0.0,0.0,1.0,8.0,24,13.0,1.0,0.0,0.0,0.0,7,7,17,20,6,8,11.0,11.0,0.22,0.16923,0.35185,0.2,0.24,0.18462
greet002,Green,Tyler,115095,greet002,greenty01,1005014,49.0,62,43,56,0.0,0.0,9.0,5.0,1.0,2.0,0.0,1.0,5.0,7.0,7,8.0,2.0,0.0,1.0,0.0,6,10,20,28,6,9,8.0,10.0,0.18605,0.17857,0.30612,0.27419,0.27907,0.19643
schic002,Schilling,Curt,121811,schic002,schilcu01,73,85.0,94,81,88,2.0,2.0,10.0,9.0,0.0,2.0,0.0,1.0,7.0,5.0,33,32.0,0.0,0.0,0.0,0.0,17,4,19,33,10,12,14.0,12.0,0.17284,0.13636,0.22353,0.20213,0.2963,0.20455
liebj001,Lieber,Jon,117758,liebj001,liebejo01,287,67.0,59,58,57,0.0,7.0,7.0,8.0,2.0,2.0,0.0,0.0,3.0,7.0,16,11.0,1.0,0.0,1.0,1.0,17,11,20,16,10,5,17.0,9.0,0.2931,0.15789,0.35821,0.22034,0.68966,0.19298
petec001,Peters,Chris,120454,petec001,peterch01,1010225,21.0,40,20,33,0.0,1.0,4.0,3.0,2.0,0.0,1.0,0.0,5.0,1.0,4,8.0,1.0,0.0,0.0,2.0,5,5,7,18,1,3,4.0,7.0,0.2,0.21212,0.2381,0.325,0.35,0.33333
silvj001,Silva,Jose,122231,silvj001,silvajo01,354,64.0,61,55,60,0.0,1.0,11.0,14.0,3.0,2.0,0.0,1.0,2.0,8.0,13,10.0,0.0,0.0,1.0,0.0,16,10,18,25,11,11,18.0,14.0,0.32727,0.23333,0.40625,0.2623,0.45455,0.28333
cordf001,Cordova,Francisco,112681,cordf001,cordofr01,1002623,81.0,73,79,66,1.0,1.0,10.0,10.0,3.0,3.0,0.0,0.0,5.0,4.0,13,15.0,0.0,0.0,1.0,0.0,14,9,28,29,15,9,14.0,14.0,0.17722,0.21212,0.22222,0.26027,0.25316,0.30303
wrigj001,Wright,Jamey,124604,wrigj001,wrighja01,715,48.0,64,47,59,1.0,0.0,14.0,5.0,4.0,3.0,0.0,1.0,11.0,4.0,6,6.0,0.0,0.0,0.0,0.0,8,9,22,22,4,14,9.0,19.0,0.19149,0.32203,0.27083,0.46875,0.29787,0.44068
herso001,Hershiser,Orel,115861,herso001,hershor01,1005741,63.0,82,62,74,2.0,1.0,8.0,7.0,5.0,1.0,0.0,0.0,8.0,5.0,14,9.0,3.0,0.0,0.0,0.0,11,10,29,32,5,12,9.0,15.0,0.14516,0.2027,0.22222,0.31707,0.20968,0.35135
mussm001,Mussina,Mike,119608,mussm001,mussimi01,837,63.0,44,63,44,2.0,1.0,8.0,9.0,0.0,2.0,0.0,0.0,1.0,2.0,9,21.0,0.0,0.0,0.0,0.0,12,7,15,17,12,6,12.0,10.0,0.19048,0.22727,0.22222,0.25,0.26984,0.36364
belct001,Belcher,Tim,110809,belct001,belchti01,1000789,71.0,71,66,64,1.0,3.0,10.0,11.0,3.0,2.0,0.0,0.0,6.0,7.0,14,6.0,3.0,0.0,0.0,0.0,20,14,25,18,7,10,16.0,14.0,0.24242,0.21875,0.32394,0.32394,0.40909,0.3125
rosaj001,Rosado,Jose,121443,rosaj001,rosadjo01,1011192,29.0,44,28,44,1.0,0.0,7.0,3.0,2.0,1.0,0.0,0.0,5.0,2.0,4,10.0,0.0,1.0,0.0,0.0,3,8,8,17,3,8,4.0,10.0,0.14286,0.22727,0.24138,0.34091,0.17857,0.34091
servs001,Service,Scott,122012,servs001,servisc01,1684,22.0,40,22,37,1.0,0.0,8.0,2.0,3.0,0.0,0.0,0.0,2.0,2.0,13,5.0,4.0,0.0,0.0,0.0,3,8,7,3,3,8,2.0,12.0,0.09091,0.32432,0.18182,0.45,0.09091,0.48649
ruscg001,Rusch,Glendon,121556,ruscg001,ruschgl01,707,32.0,117,31,120,3.0,0.0,24.0,2.0,5.0,2.0,1.0,0.0,6.0,3.0,15,10.0,0.0,1.0,0.0,0.0,5,35,6,31,4,25,4.0,33.0,0.12903,0.275,0.25,0.33333,0.19355,0.40833
key-j001,Key,Jimmy,117032,key-j001,keyji01,1006885,20.0,115,22,112,1.0,0.0,17.0,3.0,4.0,2.0,0.0,0.0,8.0,0.0,23,4.0,0.0,1.0,0.0,0.0,4,26,5,33,6,17,5.0,22.0,0.22727,0.19643,0.3,0.26087,0.31818,0.25893
rappp001,Rapp,Pat,120933,rappp001,rapppa01,1010700,70.0,53,60,46,2.0,1.0,4.0,11.0,4.0,0.0,0.0,0.0,5.0,13.0,7,7.0,1.0,0.0,1.0,0.0,15,14,24,14,8,10,12.0,10.0,0.2,0.21739,0.35714,0.30189,0.25,0.43478
keagg001,Keagle,Greg,116871,keagg001,keaglgr01,1006726,67.0,45,66,47,0.0,2.0,7.0,10.0,1.0,4.0,0.0,0.0,1.0,7.0,6,13.0,1.0,1.0,0.0,0.0,11,9,14,18,18,9,16.0,8.0,0.24242,0.17021,0.35821,0.22222,0.39394,0.19149
thomj003,Thompson,Justin,123294,thomj003,thompju02,8217,36.0,102,39,95,0.0,2.0,16.0,5.0,3.0,2.0,0.0,0.0,13.0,0.0,22,5.0,0.0,0.0,0.0,0.0,10,14,8,28,8,20,9.0,19.0,0.23077,0.2,0.25,0.31373,0.4359,0.23158
eyres001,Eyre,Scott,113961,eyres001,eyresc01,1300,35.0,92,32,80,5.0,2.0,9.0,6.0,4.0,1.0,1.0,0.0,13.0,4.0,20,2.0,0.0,0.0,0.0,0.0,10,23,10,22,6,10,9.0,19.0,0.28125,0.2375,0.37143,0.34783,0.5,0.5
baldj002,Baldwin,James,110503,baldj002,baldwja01,1064,64.0,46,61,42,1.0,2.0,6.0,10.0,1.0,4.0,1.0,0.0,4.0,9.0,7,14.0,0.0,0.0,0.0,0.0,22,12,9,9,11,10,16.0,9.0,0.2623,0.21429,0.39062,0.28261,0.42623,0.35714
sirom001,Sirotka,Mike,122276,sirom001,sirotmi01,1012015,41.0,97,40,93,3.0,2.0,15.0,6.0,5.0,2.0,0.0,1.0,4.0,2.0,15,4.0,0.0,0.0,0.0,0.0,8,20,16,31,9,17,11.0,23.0,0.275,0.24731,0.31707,0.27835,0.525,0.39785
rogek001,Rogers,Kenny,121386,rogek001,rogerke01,1277,43.0,114,34,116,1.0,2.0,14.0,5.0,6.0,2.0,0.0,0.0,6.0,10.0,15,8.0,2.0,0.0,0.0,0.0,6,21,14,44,5,23,9.0,21.0,0.26471,0.18103,0.44186,0.25439,0.5,0.25862
haynj001,Haynes,Jimmy,115649,haynj001,hayneji01,329,83.0,62,72,63,0.0,1.0,11.0,17.0,2.0,5.0,1.0,0.0,4.0,11.0,11,8.0,1.0,1.0,1.0,0.0,6,12,32,18,19,11,23.0,14.0,0.31944,0.22222,0.42169,0.30645,0.43056,0.28571
candt001,Candiotti,Tom,111954,candt001,candito01,1001911,86.0,83,82,79,0.0,1.0,10.0,15.0,3.0,4.0,0.0,0.0,5.0,7.0,7,11.0,3.0,0.0,0.0,0.0,17,18,32,35,12,8,20.0,13.0,0.2439,0.16456,0.31395,0.25301,0.32927,0.20253
roseb002,Rose,Brian,121450,roseb002,rosebr01,1011201,53.0,46,46,47,0.0,3.0,7.0,7.0,2.0,2.0,0.0,0.0,2.0,8.0,6,7.0,0.0,1.0,0.0,0.0,13,10,8,16,12,8,12.0,9.0,0.26087,0.19149,0.39623,0.23913,0.5,0.23404
spolp001,Spoljaric,Paul,122605,spolp001,spoljpa01,1012349,22.0,41,18,35,0.0,1.0,3.0,3.0,3.0,0.0,0.0,0.0,4.0,5.0,7,9.0,1.0,0.0,0.0,2.0,6,5,1,16,3,2,4.0,6.0,0.22222,0.17143,0.40909,0.26829,0.38889,0.25714
moyej001,Moyer,Jamie,119469,moyej001,moyerja01,1091,42.0,123,39,122,3.0,0.0,16.0,5.0,8.0,3.0,1.0,0.0,3.0,2.0,23,11.0,1.0,3.0,0.0,0.0,7,20,10,46,8,24,8.0,28.0,0.20513,0.22951,0.30952,0.26016,0.28205,0.38525
ayalb002,Ayala,Bobby,110402,ayalb002,ayalabo01,1000384,33.0,40,32,37,1.0,1.0,8.0,2.0,1.0,2.0,0.0,1.0,2.0,3.0,6,6.0,1.0,0.0,0.0,0.0,8,6,7,19,6,4,6.0,10.0,0.1875,0.27027,0.27273,0.325,0.40625,0.37838
wrigj002,Wright,Jaret,124605,wrigj002,wrighja02,415,73.0,60,69,54,1.0,3.0,7.0,12.0,2.0,6.0,0.0,0.0,7.0,4.0,15,10.0,0.0,3.0,1.0,0.0,15,11,25,16,14,7,21.0,10.0,0.30435,0.18519,0.38356,0.28333,0.52174,0.27778
navaj001,Navarro,Jaime,119667,navaj001,navarja01,1009465,80.0,70,76,62,4.0,1.0,7.0,13.0,3.0,4.0,0.0,0.0,9.0,8.0,9,11.0,1.0,1.0,0.0,0.0,13,14,27,20,16,9,18.0,14.0,0.23684,0.22581,0.3375,0.34286,0.32895,0.46774
wittb001,Witt,Bobby,124492,wittb001,wittbo01,1014170,73.0,66,63,62,3.0,0.0,10.0,16.0,4.0,6.0,0.0,2.0,4.0,10.0,2,7.0,0.0,0.0,0.0,0.0,12,23,19,20,22,12,24.0,17.0,0.38095,0.27419,0.46575,0.31818,0.53968,0.48387
selea001,Sele,Aaron,121986,selea001,seleaa01,34,79.0,60,76,55,1.0,0.0,9.0,8.0,1.0,5.0,0.0,0.0,8.0,3.0,9,18.0,1.0,1.0,0.0,0.0,8,8,25,25,18,7,13.0,11.0,0.17105,0.2,0.21519,0.33333,0.23684,0.27273
berej002,Bere,Jason,110891,berej002,bereja01,266,70.0,46,59,43,0.0,1.0,6.0,13.0,1.0,5.0,0.0,0.0,3.0,13.0,5,9.0,0.0,0.0,0.0,0.0,16,15,16,10,10,7,19.0,7.0,0.32203,0.16279,0.45714,0.21739,0.45763,0.18605
hentp001,Hentgen,Pat,115797,hentp001,hentgpa01,145,64.0,75,62,71,5.0,1.0,9.0,8.0,4.0,5.0,0.0,0.0,5.0,2.0,7,7.0,1.0,1.0,0.0,0.0,16,18,23,32,9,9,14.0,18.0,0.22581,0.25352,0.26562,0.32,0.35484,0.52113
guzmj003,Guzman,Juan,115267,guzmj003,guzmaju01,1005162,77.0,70,69,65,1.0,1.0,1.0,11.0,6.0,4.0,0.0,0.0,8.0,14.0,20,10.0,2.0,0.0,0.0,0.0,12,11,28,15,11,8,16.0,8.0,0.23188,0.12308,0.38961,0.25714,0.33333,0.26154
hanse001,Hanson,Erik,115446,hanse001,hansoer01,1005333,40.0,42,37,37,2.0,0.0,5.0,11.0,3.0,1.0,0.0,0.0,5.0,4.0,5,2.0,0.0,0.0,0.0,0.0,8,8,14,14,12,7,12.0,10.0,0.32432,0.27027,0.4,0.35714,0.35135,0.51351
rislb001,Risley,Bill,121231,rislb001,rislebi01,1010986,29.0,40,28,38,0.0,0.0,6.0,3.0,1.0,2.0,1.0,0.0,3.0,2.0,12,7.0,0.0,1.0,0.0,0.0,6,8,4,13,6,4,5.0,8.0,0.17857,0.21053,0.27586,0.275,0.25,0.28947
tracs001,Trachsel,Steve,123431,tracs001,trachst01,898,63.0,63,56,58,2.0,1.0,7.0,11.0,2.0,0.0,1.0,0.0,4.0,10.0,12,9.0,3.0,0.0,0.0,0.0,14,14,20,14,7,10,12.0,12.0,0.21429,0.2069,0.34921,0.30159,0.26786,0.37931
vazqj001,Vazquez,Javier,134320,vazqj001,vazquja01,801,36.0,62,34,57,1.0,0.0,12.0,4.0,3.0,0.0,2.0,0.0,8.0,6.0,12,6.0,1.0,0.0,0.0,0.0,13,11,7,18,4,11,4.0,18.0,0.11765,0.31579,0.27778,0.43548,0.11765,0.49123
batim001,Batista,Miguel,110683,batim001,batismi01,46,37.0,44,29,45,1.0,1.0,0.0,7.0,4.0,2.0,0.0,0.0,4.0,9.0,8,6.0,0.0,0.0,1.0,0.0,2,10,14,13,3,6,10.0,5.0,0.34483,0.11111,0.51351,0.20455,0.51724,0.26667
piscm001,Pisciotta,Marc,120599,piscm001,piscima01,1010369,33.0,44,23,43,1.0,0.0,10.0,2.0,1.0,1.0,0.0,0.0,2.0,9.0,8,4.0,0.0,0.0,0.0,0.0,6,5,8,21,4,6,3.0,12.0,0.13043,0.27907,0.36364,0.31818,0.17391,0.37209
valdm001,Valdes,Marc,123596,valdm001,valdema01,1013313,24.0,58,21,54,1.0,1.0,10.0,3.0,0.0,1.0,0.0,0.0,8.0,3.0,12,0.0,0.0,1.0,1.0,0.0,8,5,6,22,4,8,5.0,11.0,0.2381,0.2037,0.375,0.32759,0.42857,0.25926
tapak001,Tapani,Kevin,123090,tapak001,tapanke01,1012824,83.0,65,76,64,2.0,0.0,4.0,12.0,2.0,3.0,0.0,2.0,4.0,8.0,15,6.0,1.0,1.0,0.0,0.0,17,9,30,24,14,8,17.0,8.0,0.22368,0.125,0.31325,0.2,0.31579,0.25
moort001,Moore,Trey,134340,moort001,mooretr01,1009130,28.0,66,28,68,3.0,0.0,9.0,4.0,5.0,2.0,0.0,0.0,3.0,2.0,10,6.0,0.0,0.0,0.0,2.0,10,16,5,24,5,13,6.0,17.0,0.21429,0.25,0.28571,0.30303,0.28571,0.45588
telea001,Telemaco,Amaury,123176,telea001,telemam01,1802,39.0,51,39,45,1.0,2.0,2.0,4.0,1.0,4.0,0.0,0.0,7.0,3.0,10,6.0,0.0,0.0,0.0,0.0,9,9,10,15,8,4,10.0,4.0,0.25641,0.08889,0.33333,0.21569,0.51282,0.17778
clarm002,Clark,Mark,112332,clarm002,clarkma01,1002296,70.0,79,68,74,0.0,1.0,13.0,13.0,3.0,3.0,0.0,1.0,5.0,4.0,15,10.0,1.0,1.0,0.0,1.0,20,13,21,30,15,8,18.0,16.0,0.26471,0.21622,0.32857,0.27848,0.38235,0.25676
perec001,Perez,Carlos,120405,perec001,perezca01,1010179,42.0,131,42,120,2.0,0.0,16.0,11.0,7.0,3.0,1.0,2.0,10.0,1.0,20,3.0,0.0,1.0,0.0,2.0,13,24,14,47,9,22,16.0,26.0,0.38095,0.21667,0.42857,0.27481,0.54762,0.34167
gonzj003,Gonzalez,Geremi,114928,gonzj003,gonzaje01,1711,42.0,60,41,56,2.0,0.0,8.0,3.0,1.0,5.0,0.0,1.0,5.0,2.0,8,12.0,0.0,0.0,0.0,2.0,10,13,13,19,7,8,9.0,11.0,0.21951,0.19643,0.2619,0.26667,0.39024,0.32143
leita001,Leiter,Al,117652,leita001,leiteal01,883,26.0,101,24,95,0.0,0.0,17.0,3.0,4.0,2.0,0.0,0.0,9.0,1.0,20,7.0,2.0,1.0,0.0,0.0,3,8,9,40,4,15,5.0,21.0,0.20833,0.22105,0.26923,0.31683,0.29167,0.26316
reedr002,Reed,Rick,120999,reedr002,reedri01,750,47.0,85,47,83,2.0,1.0,12.0,8.0,4.0,3.0,0.0,0.0,2.0,2.0,10,9.0,0.0,0.0,0.0,1.0,10,15,12,39,11,11,12.0,18.0,0.25532,0.21687,0.29787,0.23529,0.38298,0.33735
parkc002,Park,Chan Ho,120221,parkc002,parkch01,1267,59.0,74,52,72,1.0,2.0,13.0,6.0,2.0,3.0,0.0,1.0,7.0,8.0,17,12.0,1.0,0.0,0.0,0.0,13,12,15,23,9,10,12.0,16.0,0.23077,0.22222,0.33898,0.32432,0.44231,0.29167
woodk002,Wood,Kerry,134268,woodk002,woodke02,304,24.0,51,19,47,0.0,0.0,7.0,2.0,2.0,1.0,0.0,0.0,4.0,6.0,20,5.0,1.0,1.0,0.0,0.0,3,6,5,13,3,8,3.0,9.0,0.15789,0.19149,0.41667,0.27451,0.21053,0.23404
nomoh001,Nomo,Hideo,119827,nomoh001,nomohi01,666,60.0,68,51,66,2.0,3.0,6.0,3.0,1.0,1.0,0.0,0.0,5.0,7.0,22,16.0,0.0,2.0,0.0,0.0,15,15,17,16,1,9,7.0,9.0,0.13725,0.13636,0.26667,0.20588,0.33333,0.24242
dreid001,Dreifort,Darren,113554,dreid001,dreifda01,647,50.0,41,49,41,0.0,0.0,2.0,7.0,5.0,1.0,0.0,0.0,2.0,1.0,9,14.0,0.0,0.0,1.0,0.0,8,7,21,16,5,4,8.0,7.0,0.16327,0.17073,0.18,0.21951,0.18367,0.29268
valdi001,Valdez,Ismael,123595,valdi001,valdeis01,1283,61.0,96,58,93,4.0,2.0,22.0,11.0,2.0,2.0,0.0,1.0,4.0,3.0,21,7.0,1.0,0.0,1.0,0.0,19,18,19,32,9,15,16.0,28.0,0.27586,0.30108,0.31148,0.34375,0.44828,0.45161
browk001,Brown,Kevin,111554,browk001,brownke01,642,88.0,63,87,65,1.0,1.0,11.0,16.0,2.0,1.0,0.0,0.0,3.0,3.0,17,19.0,0.0,0.0,1.0,0.0,7,11,42,25,12,6,18.0,14.0,0.2069,0.21538,0.23864,0.26984,0.25287,0.29231
hamij002,Hamilton,Joey,115383,hamij002,hamiljo02,328,68.0,85,63,80,2.0,2.0,8.0,9.0,3.0,4.0,0.0,1.0,9.0,7.0,11,12.0,0.0,0.0,0.0,0.0,20,17,21,33,5,7,16.0,13.0,0.25397,0.1625,0.33824,0.25882,0.44444,0.275
ashba002,Ashby,Andy,110351,ashba002,ashbyan01,637,75.0,89,69,88,1.0,1.0,16.0,12.0,2.0,2.0,0.0,1.0,4.0,5.0,16,12.0,0.0,0.0,0.0,0.0,18,14,27,34,12,12,16.0,19.0,0.23188,0.21591,0.28,0.25843,0.33333,0.27273
bottk001,Bottenfield,Kent,111264,bottk001,botteke01,1001226,29.0,41,29,35,2.0,0.0,5.0,5.0,3.0,0.0,0.0,0.0,3.0,1.0,10,7.0,0.0,1.0,0.0,1.0,6,5,9,6,3,10,5.0,10.0,0.17241,0.28571,0.24138,0.31707,0.17241,0.54286
weatd001,Weathers,David,124000,weatd001,weathda01,902,47.0,52,45,55,0.0,1.0,11.0,9.0,2.0,2.0,0.0,2.0,1.0,3.0,11,8.0,0.0,0.0,1.0,0.0,4,6,21,18,10,14,14.0,13.0,0.31111,0.23636,0.3617,0.26923,0.51111,0.27273
harnp001,Harnisch,Pete,115487,harnp001,harnipe01,1005374,73.0,82,66,74,1.0,2.0,10.0,6.0,4.0,3.0,0.0,0.0,5.0,7.0,13,8.0,1.0,0.0,0.0,0.0,20,16,19,30,11,13,11.0,15.0,0.16667,0.2027,0.24658,0.2561,0.30303,0.2973
belis001,Belinda,Stan,110811,belis001,belinst01,1000792,38.0,47,31,45,0.0,0.0,4.0,6.0,2.0,0.0,0.0,0.0,4.0,8.0,10,5.0,1.0,0.0,1.0,2.0,8,8,5,11,8,8,6.0,6.0,0.19355,0.13333,0.36842,0.23404,0.19355,0.17778
tomkb001,Tomko,Brett,123387,tomkb001,tomkobr01,1056,56.0,88,52,79,0.0,1.0,8.0,8.0,1.0,5.0,1.0,0.0,7.0,3.0,13,13.0,1.0,0.0,0.0,0.0,12,18,12,28,15,12,14.0,10.0,0.26923,0.12658,0.30357,0.20455,0.42308,0.16456
martr002,Martinez,Ramon,118378,martr002,martira02,1008193,62.0,89,55,87,0.0,2.0,7.0,5.0,5.0,3.0,0.0,0.0,5.0,8.0,26,11.0,0.0,1.0,0.0,0.0,15,16,14,32,8,7,10.0,12.0,0.18182,0.13793,0.30645,0.19101,0.34545,0.1954
reyns001,Reynolds,Shane,121110,reyns001,reynosh01,574,65.0,92,62,91,2.0,1.0,22.0,6.0,6.0,6.0,0.0,0.0,5.0,6.0,16,14.0,0.0,0.0,1.0,0.0,7,11,23,37,10,18,13.0,30.0,0.20968,0.32967,0.29231,0.38043,0.35484,0.46154
hampm001,Hampton,Mike,115399,hampm001,hamptmi01,430,27.0,147,26,143,3.0,0.0,28.0,6.0,8.0,0.0,1.0,0.0,8.0,3.0,25,5.0,0.0,0.0,0.0,0.0,1,22,13,68,2,20,6.0,40.0,0.23077,0.27972,0.33333,0.32653,0.23077,0.41259
joneb003,Jones,Bobby,116717,joneb003,jonesbo03,1039,57.0,67,55,63,1.0,0.0,5.0,9.0,2.0,3.0,2.0,0.0,7.0,5.0,6,9.0,2.0,0.0,0.0,0.0,7,9,18,27,12,10,12.0,10.0,0.21818,0.15873,0.29825,0.28358,0.27273,0.30159
yoshm001,Yoshii,Masato,134180,yoshm001,yoshima01,807,41.0,57,36,54,0.0,2.0,8.0,6.0,2.0,1.0,0.0,0.0,4.0,4.0,7,12.0,0.0,0.0,0.0,0.0,8,15,10,17,7,9,9.0,10.0,0.25,0.18519,0.31707,0.24561,0.44444,0.22222
stepg001,Stephenson,Garrett,122751,stepg001,stephga01,1185,44.0,41,44,35,0.0,2.0,4.0,7.0,1.0,4.0,0.0,0.0,8.0,5.0,7,7.0,0.0,0.0,0.0,0.0,10,10,15,11,5,5,13.0,5.0,0.29545,0.14286,0.40909,0.31707,0.52273,0.17143
clouk001,Cloude,Ken,112415,clouk001,cloudke01,1002362,81.0,72,70,70,1.0,6.0,9.0,10.0,3.0,5.0,0.0,0.0,6.0,12.0,6,14.0,0.0,0.0,0.0,0.0,24,19,11,23,16,11,21.0,13.0,0.3,0.18571,0.40741,0.26389,0.62857,0.27143
swifb001,Swift,Bill,123053,swifb001,swiftbi02,1012788,50.0,46,50,42,1.0,1.0,5.0,4.0,2.0,4.0,0.0,0.0,5.0,5.0,5,6.0,0.0,0.0,1.0,0.0,6,9,24,23,8,5,9.0,8.0,0.18,0.19048,0.28,0.28261,0.32,0.30952
polic001,Politte,Cliff,131700,polic001,politcl01,967,46.0,66,43,60,3.0,1.0,8.0,6.0,3.0,2.0,1.0,0.0,6.0,4.0,9,6.0,1.0,0.0,0.0,0.0,8,13,12,20,10,11,9.0,15.0,0.2093,0.25,0.28261,0.33333,0.32558,0.48333
aybam001,Aybar,Manny,110403,aybam001,aybarma01,1107,58.0,50,52,46,1.0,1.0,12.0,7.0,5.0,5.0,0.0,0.0,4.0,8.0,8,8.0,1.0,0.0,0.0,0.0,8,6,18,13,12,14,13.0,18.0,0.25,0.3913,0.36207,0.46,0.40385,0.56522
thomm002,Thompson,Mark,123296,thomm002,thompma01,1013019,30.0,59,35,50,4.0,3.0,11.0,4.0,2.0,2.0,0.0,0.0,7.0,1.0,5,6.0,4.0,0.0,0.0,0.0,7,10,11,19,5,8,9.0,17.0,0.25714,0.34,0.33333,0.47458,0.57143,0.62
moehb001,Moehler,Brian,119215,moehb001,moehlbr01,480,87.0,54,86,57,0.0,4.0,8.0,9.0,1.0,5.0,0.0,4.0,1.0,7.0,14,10.0,0.0,0.0,1.0,0.0,24,5,29,24,14,7,22.0,9.0,0.25581,0.15789,0.33333,0.18519,0.54651,0.17544
coned001,Cone,David,112552,coned001,coneda01,1680,63.0,52,62,53,0.0,0.0,9.0,10.0,1.0,4.0,0.0,2.0,4.0,5.0,15,12.0,0.0,1.0,0.0,0.0,13,9,18,14,12,8,16.0,10.0,0.25806,0.18868,0.34921,0.26923,0.3871,0.20755
mendr001,Mendoza,Ramiro,118947,mendr001,mendora01,836,57.0,49,53,48,1.0,0.0,8.0,12.0,2.0,4.0,0.0,1.0,2.0,2.0,4,5.0,0.0,2.0,1.0,0.0,10,7,27,28,11,7,17.0,11.0,0.32075,0.22917,0.36842,0.26531,0.43396,0.33333
burkj001,Burkett,John,111734,burkj001,burkejo03,179,71.0,75,70,76,3.0,1.0,15.0,9.0,2.0,2.0,0.0,0.0,5.0,6.0,13,13.0,0.0,1.0,0.0,0.0,8,16,27,26,12,13,12.0,20.0,0.17143,0.26316,0.26761,0.33333,0.24286,0.40789
mercj001,Mercedes,Jose,118960,mercj001,mercejo02,396,51.0,65,46,65,1.0,1.0,13.0,9.0,2.0,0.0,0.0,0.0,1.0,5.0,6,4.0,0.0,0.0,0.0,1.0,15,19,12,21,11,12,10.0,16.0,0.21739,0.24615,0.29412,0.26154,0.28261,0.32308
judej001,Juden,Jeff,116785,judej001,judenje01,1006643,69.0,71,60,67,2.0,1.0,9.0,10.0,2.0,4.0,0.0,1.0,4.0,10.0,14,13.0,1.0,1.0,0.0,0.0,9,13,23,28,12,6,16.0,13.0,0.26667,0.19403,0.3913,0.25352,0.41667,0.31343
halaj001,Halama,John,134280,halaj001,halamjo01,1080,29.0,107,26,100,0.0,0.0,13.0,3.0,7.0,4.0,2.0,0.0,11.0,2.0,12,9.0,1.0,1.0,0.0,0.0,4,24,6,44,4,13,7.0,22.0,0.26923,0.22,0.34483,0.31776,0.42308,0.33
ruetk001,Rueter,Kirk,121541,ruetk001,rueteki01,1128,20.0,103,20,95,1.0,0.0,15.0,1.0,5.0,0.0,1.0,0.0,10.0,1.0,12,5.0,1.0,0.0,0.0,0.0,1,16,8,38,3,18,1.0,22.0,0.05,0.23158,0.1,0.32039,0.05,0.33684
limaj001,Lima,Jose,117769,limaj001,limajo01,475,80.0,81,78,81,2.0,1.0,11.0,15.0,3.0,3.0,1.0,1.0,1.0,5.0,18,11.0,0.0,0.0,0.0,0.0,11,20,32,30,13,8,20.0,17.0,0.25641,0.20988,0.3125,0.22222,0.35897,0.34568
hermd001,Hermanson,Dustin,115812,hermd001,hermadu01,195,48.0,74,43,67,2.0,2.0,14.0,5.0,2.0,0.0,0.0,0.0,4.0,5.0,15,12.0,1.0,0.0,0.0,1.0,10,11,11,24,5,14,7.0,18.0,0.16279,0.26866,0.25,0.31081,0.30233,0.38806
mlicd001,Mlicki,Dave,119211,mlicd001,mlickda01,569,40.0,74,35,72,3.0,2.0,10.0,4.0,5.0,2.0,1.0,0.0,3.0,5.0,12,5.0,2.0,0.0,4.0,0.0,9,16,13,23,4,12,8.0,19.0,0.22857,0.26389,0.325,0.32432,0.45714,0.48611
morgm001,Morgan,Mike,119374,morgm001,morgami01,67,75.0,50,73,49,3.0,3.0,7.0,15.0,3.0,3.0,0.0,2.0,2.0,1.0,9,8.0,1.0,0.0,1.0,0.0,15,14,28,15,19,9,23.0,13.0,0.31507,0.26531,0.32,0.32,0.53425,0.5102
milte001,Milton,Eric,132980,milte001,miltoer01,743,32.0,88,29,84,0.0,2.0,15.0,7.0,7.0,2.0,0.0,0.0,6.0,3.0,11,3.0,0.0,0.0,0.0,0.0,14,32,4,17,6,13,11.0,22.0,0.37931,0.2619,0.4375,0.31818,0.65517,0.34524
pichh001,Pichardo,Hipolito,120539,pichh001,pichahi01,1472,68.0,52,64,50,2.0,0.0,9.0,8.0,2.0,4.0,0.0,0.0,4.0,9.0,7,8.0,0.0,0.0,0.0,0.0,13,12,26,19,11,8,12.0,13.0,0.1875,0.26,0.30882,0.32692,0.25,0.42
tewkb001,Tewksbury,Bob,123213,tewkb001,tewksbo01,1012941,84.0,70,83,71,4.0,1.0,10.0,9.0,4.0,2.0,1.0,1.0,1.0,2.0,7,15.0,0.0,0.0,0.0,0.0,20,17,35,21,12,18,13.0,19.0,0.15663,0.26761,0.17857,0.28571,0.24096,0.52113
tromm001,Trombley,Mike,123472,tromm001,trombmi01,758,40.0,46,40,45,1.0,0.0,10.0,4.0,2.0,0.0,0.0,0.0,3.0,3.0,13,11.0,0.0,0.0,0.0,0.0,12,8,11,13,3,6,4.0,13.0,0.1,0.28889,0.175,0.34783,0.1,0.4
willw001,Williams,Woody,124315,willw001,williwo02,1190,70.0,55,66,55,2.0,0.0,12.0,7.0,1.0,4.0,0.0,3.0,3.0,8.0,12,13.0,0.0,0.0,0.0,0.0,18,9,10,10,15,15,14.0,15.0,0.21212,0.27273,0.31429,0.32727,0.36364,0.4
radkb001,Radke,Brad,120878,radkb001,radkebr01,748,68.0,68,67,66,1.0,1.0,7.0,11.0,3.0,5.0,0.0,0.0,3.0,3.0,18,14.0,0.0,0.0,0.0,0.0,14,10,21,25,11,4,17.0,11.0,0.25373,0.16667,0.29412,0.20588,0.37313,0.25758
clemr001,Clemens,Roger,112388,clemr001,clemero02,815,51.0,57,47,53,0.0,0.0,3.0,3.0,3.0,4.0,0.0,0.0,6.0,10.0,16,8.0,1.0,0.0,0.0,0.0,8,8,17,19,7,7,7.0,6.0,0.14894,0.11321,0.33333,0.22807,0.23404,0.16981
hawkl001,Hawkins,LaTroy,115629,hawkl001,hawkila01,729,71.0,64,60,58,1.0,2.0,7.0,11.0,2.0,1.0,0.0,1.0,8.0,10.0,10,6.0,1.0,0.0,0.0,0.0,21,18,23,21,6,6,15.0,10.0,0.25,0.17241,0.35211,0.29688,0.4,0.25862
hellr001,Helling,Rick,115727,hellr001,helliri01,58,76.0,63,69,64,2.0,1.0,8.0,9.0,0.0,5.0,0.0,1.0,2.0,7.0,10,13.0,0.0,0.0,0.0,0.0,18,16,21,16,6,9,16.0,10.0,0.23188,0.15625,0.30263,0.19048,0.37681,0.25
schmj001,Schmidt,Jason,121834,schmj001,schmija01,1131,67.0,77,63,74,3.0,3.0,8.0,11.0,4.0,6.0,1.0,1.0,4.0,2.0,14,9.0,0.0,0.0,1.0,0.0,21,14,24,26,7,10,21.0,16.0,0.33333,0.21622,0.34328,0.25974,0.60317,0.41892
stott001,Stottlemyre,Todd,122840,stott001,stottto01,75,84.0,75,77,74,2.0,0.0,12.0,6.0,0.0,4.0,0.0,0.0,3.0,10.0,24,13.0,0.0,1.0,0.0,0.0,9,7,34,23,12,14,10.0,14.0,0.12987,0.18919,0.25,0.22667,0.18182,0.27027
oquim001,Oquist,Mike,120039,oquim001,oquismi01,1009828,71.0,51,63,49,1.0,1.0,4.0,13.0,1.0,1.0,0.0,0.0,4.0,10.0,13,13.0,0.0,0.0,0.0,0.0,13,11,19,14,12,2,15.0,6.0,0.2381,0.12245,0.35211,0.19608,0.30159,0.20408
loaie001,Loaiza,Esteban,117842,loaie001,loaizes01,1310,56.0,46,51,44,3.0,1.0,5.0,11.0,1.0,2.0,0.0,1.0,3.0,5.0,7,1.0,0.0,1.0,1.0,0.0,15,13,26,17,5,6,15.0,9.0,0.29412,0.20455,0.375,0.26087,0.43137,0.43182
sprid001,Springer,Dennis,122618,sprid001,sprinde01,672,62.0,60,57,59,2.0,2.0,8.0,8.0,3.0,4.0,0.0,0.0,3.0,4.0,9,5.0,1.0,0.0,1.0,0.0,16,17,19,15,13,10,14.0,13.0,0.24561,0.22034,0.29032,0.28333,0.42105,0.37288
1 pitcher_id last_name use_name key_mlbam key_retro key_bbref key_fangraphs TBF_vL TBF_vR AB_vL AB_vR HR_vR HR_vL 1B_vR 1B_vL 2B_vR 2B_vL 3B_vR 3B_vL BB_vR BB_vL SO_vR SO_vL HBP_vR HBP_vL IBB_vL IBB_vR FB_vL FB_vR GB_vL GB_vR LD_vL LD_vR H_vL H_vR AVG_vL AVG_vR OBP_vL OBP_vR SLG_vL SLG_vR
2 finlc001 Finley Chuck 114133 finlc001 finlech01 384 50.0 135 43 126 2.0 0.0 15.0 12.0 5.0 0.0 0.0 0.0 11.0 6.0 32 12.0 0.0 1.0 0.0 0.0 7 33 17 42 7 14 12.0 22.0 0.27907 0.1746 0.38 0.24444 0.27907 0.2619
3 petta001 Pettitte Andy 120485 petta001 pettian01 840 39.0 124 38 113 1.0 0.0 23.0 8.0 6.0 0.0 0.0 0.0 13.0 1.0 19 14.0 2.0 1.0 0.0 0.0 7 13 11 42 5 26 8.0 30.0 0.21053 0.26549 0.25641 0.3629 0.21053 0.34513
4 hillk001 Hill Ken 115941 hillk001 hillke01 1005827 98.0 60 90 57 0.0 0.0 12.0 11.0 2.0 12.0 0.0 1.0 2.0 8.0 10 9.0 0.0 1.0 0.0 0.0 28 13 34 26 12 8 24.0 14.0 0.26667 0.24561 0.33673 0.26667 0.42222 0.2807
5 welld001 Wells David 124071 welld001 wellsda01 855 33.0 128 33 125 6.0 3.0 12.0 5.0 6.0 0.0 0.0 0.0 9.0 2.0 27 2.0 0.0 0.0 0.0 0.0 14 25 8 38 5 16 8.0 24.0 0.24242 0.192 0.30303 0.25781 0.51515 0.384
6 nelsj001 Nelson Jeff 119704 nelsj001 nelsoje01 1092 25.0 44 21 39 0.0 0.0 8.0 5.0 1.0 2.0 1.0 0.0 4.0 1.0 8 4.0 2.0 2.0 1.0 0.0 6 5 7 13 4 7 7.0 10.0 0.33333 0.25641 0.4 0.36364 0.42857 0.33333
7 mcdoj001 McDowell Jack 118656 mcdoj001 mcdowja01 1008473 75.0 52 72 51 3.0 2.0 10.0 8.0 6.0 3.0 0.0 0.0 1.0 7.0 7 17.0 0.0 0.0 0.0 0.0 13 15 27 12 7 12 13.0 19.0 0.18056 0.37255 0.26667 0.38462 0.30556 0.66667
8 burbd001 Burba Dave 111692 burbd001 burbada01 1239 86.0 70 78 65 1.0 2.0 7.0 10.0 3.0 5.0 1.0 1.0 6.0 6.0 11 16.0 0.0 1.0 1.0 0.0 23 22 25 23 10 7 18.0 12.0 0.23077 0.18462 0.2907 0.25714 0.39744 0.30769
9 mesaj001 Mesa Jose 118986 mesaj001 mesajo01 961 24.0 46 25 46 2.0 1.0 4.0 3.0 4.0 0.0 0.0 0.0 4.0 0.0 11 4.0 1.0 0.0 1.0 0.0 5 8 8 17 5 4 4.0 10.0 0.16 0.21739 0.16667 0.32609 0.28 0.43478
10 watsa001 Watson Allen 123982 watsa001 watsoal01 1013675 35.0 85 35 79 4.0 1.0 17.0 4.0 6.0 5.0 1.0 0.0 5.0 2.0 10 9.0 1.0 0.0 0.0 0.0 5 20 12 37 6 10 10.0 28.0 0.28571 0.35443 0.34286 0.4 0.51429 0.60759
11 colob001 Colon Bartolo 112526 colob001 colonba01 375 71.0 53 68 48 0.0 4.0 6.0 9.0 1.0 6.0 0.0 0.0 6.0 5.0 16 10.0 0.0 1.0 0.0 0.0 17 6 26 18 10 5 19.0 7.0 0.27941 0.14583 0.35211 0.24528 0.54412 0.16667
12 nagyc001 Nagy Charles 119640 nagyc001 nagych01 397 86.0 76 85 75 4.0 6.0 16.0 8.0 2.0 3.0 0.0 0.0 6.0 4.0 10 15.0 0.0 1.0 1.0 0.0 19 17 34 29 12 15 17.0 22.0 0.2 0.29333 0.25581 0.36842 0.44706 0.48
13 martp001 Martinez Pedro 118377 martp001 martipe02 200 92.0 70 87 68 1.0 2.0 8.0 12.0 2.0 3.0 0.0 0.0 5.0 5.0 28 29.0 0.0 1.0 1.0 0.0 17 14 13 14 19 12 17.0 11.0 0.1954 0.16176 0.25 0.22857 0.29885 0.23529
14 waket001 Wakefield Tim 123801 waket001 wakefti01 219 83.0 91 80 89 2.0 4.0 8.0 15.0 3.0 9.0 0.0 0.0 5.0 4.0 17 10.0 2.0 0.0 0.0 0.0 26 24 17 18 21 16 28.0 13.0 0.35 0.14607 0.38554 0.21978 0.6125 0.24719
15 lowed001 Lowe Derek 117955 lowed001 lowede01 199 51.0 49 51 49 0.0 1.0 4.0 8.0 1.0 3.0 0.0 0.0 3.0 3.0 14 6.0 1.0 0.0 1.0 0.0 8 4 20 21 12 5 12.0 5.0 0.23529 0.10204 0.29412 0.18367 0.35294 0.12245
16 saunt001 Saunders Tony 121711 saunt001 saundto01 1011463 27.0 87 28 78 1.0 0.0 12.0 4.0 1.0 4.0 0.0 3.0 13.0 1.0 20 3.0 1.0 0.0 0.0 1.0 10 16 11 18 3 13 11.0 14.0 0.39286 0.17949 0.44444 0.32184 0.75 0.23077
17 alvaw001 Alvarez Wilson 110209 alvaw001 alvarwi01 1193 26.0 101 23 97 1.0 0.0 17.0 2.0 2.0 2.0 0.0 0.0 8.0 3.0 20 4.0 1.0 1.0 0.0 0.0 5 26 6 28 4 12 4.0 20.0 0.17391 0.20619 0.30769 0.28713 0.26087 0.25773
18 arror001 Arrojo Rolando 134361 arror001 arrojro01 174 88.0 64 83 63 0.0 3.0 10.0 18.0 0.0 5.0 1.0 1.0 1.0 6.0 13 10.0 2.0 2.0 0.0 0.0 14 10 37 24 19 11 27.0 11.0 0.3253 0.1746 0.39773 0.21875 0.51807 0.20635
19 drabd001 Drabek Doug 113538 drabd001 drabedo01 1003473 49.0 50 49 47 3.0 3.0 10.0 7.0 0.0 1.0 0.0 1.0 4.0 3.0 6 5.0 0.0 0.0 0.0 0.0 14 19 20 12 5 6 12.0 13.0 0.2449 0.2766 0.30612 0.34 0.4898 0.46809
20 erics001 Erickson Scott 113884 erics001 ericksc01 137 99.0 67 100 69 3.0 0.0 11.0 17.0 1.0 8.0 0.0 0.0 2.0 7.0 13 11.0 1.0 0.0 1.0 0.0 5 12 53 29 20 9 25.0 15.0 0.25 0.21739 0.32323 0.26866 0.33 0.36232
21 benea001 Benes Andy 110854 benea001 benesan01 1144 108.0 81 97 70 3.0 5.0 13.0 11.0 1.0 9.0 0.0 0.0 6.0 8.0 10 11.0 2.0 0.0 1.0 1.0 29 10 33 37 13 7 25.0 17.0 0.25773 0.24286 0.30556 0.30864 0.50515 0.38571
22 kiled001 Kile Darryl 117046 kiled001 kileda01 1163 105.0 86 99 82 5.0 1.0 7.0 19.0 0.0 4.0 0.0 0.0 9.0 13.0 14 15.0 1.0 0.0 0.0 0.0 18 13 31 29 22 13 24.0 12.0 0.24242 0.14634 0.35238 0.25581 0.31313 0.32927
23 blaiw001 Blair Willie 111060 blaiw001 blairwi01 1001033 82.0 70 74 69 5.0 2.0 16.0 8.0 4.0 5.0 0.0 0.0 2.0 8.0 11 6.0 1.0 0.0 0.0 0.0 26 13 27 26 8 8 15.0 25.0 0.2027 0.36232 0.28049 0.4 0.35135 0.63768
24 thomj005 Thomson John 123307 thomj005 thomsjo01 453 57.0 59 59 55 2.0 0.0 15.0 7.0 1.0 3.0 1.0 0.0 4.0 4.0 10 9.0 1.0 0.0 0.0 0.0 10 13 24 15 7 13 10.0 19.0 0.16949 0.34545 0.24561 0.40678 0.22034 0.50909
25 andeb002 Anderson Brian 110230 andeb002 anderbr02 44 21.0 98 22 98 4.0 0.0 17.0 2.0 3.0 3.0 0.0 0.0 2.0 0.0 16 0.0 0.0 0.0 0.0 0.0 6 25 8 24 4 18 5.0 24.0 0.22727 0.2449 0.2381 0.26531 0.36364 0.39796
26 astap001 Astacio Pedro 110359 astap001 astacpe01 862 88.0 68 77 66 3.0 1.0 12.0 7.0 5.0 4.0 1.0 0.0 4.0 14.0 12 16.0 3.0 2.0 0.0 0.0 9 9 35 24 10 15 12.0 21.0 0.15584 0.31818 0.31818 0.41176 0.24675 0.56061
27 dejem001 DeJean Mike 113211 dejem001 dejeami01 682 21.0 40 22 35 2.0 0.0 5.0 2.0 3.0 1.0 1.0 0.0 6.0 0.0 1 3.0 1.0 0.0 0.0 0.0 4 5 13 20 1 4 3.0 11.0 0.13636 0.31429 0.14286 0.45 0.18182 0.62857
28 suppj001 Suppan Jeff 122987 suppj001 suppaje01 633 54.0 55 53 56 4.0 2.0 12.0 6.0 1.0 2.0 0.0 1.0 3.0 4.0 10 9.0 0.0 0.0 0.0 0.0 10 12 20 19 8 9 11.0 17.0 0.20755 0.30357 0.27778 0.36364 0.39623 0.53571
29 gardm001 Gardner Mark 114610 gardm001 gardnma01 1004529 40.0 77 38 73 4.0 0.0 10.0 5.0 5.0 4.0 1.0 1.0 5.0 3.0 14 7.0 0.0 0.0 1.0 1.0 6 7 12 24 7 13 10.0 20.0 0.26316 0.27397 0.325 0.32468 0.42105 0.53425
30 johnj006 Johnstone John 116651 johnj006 johnsjo07 1006475 21.0 42 18 37 0.0 0.0 4.0 0.0 2.0 0.0 0.0 0.0 5.0 1.0 9 6.0 0.0 0.0 1.0 0.0 2 7 8 11 0 5 0.0 6.0 0.0 0.16216 0.04762 0.2619 0.0 0.21622
31 adamj001 Adamson Joel 110069 adamj001 adamsjo02 1000056 20.0 78 17 69 4.0 0.0 9.0 5.0 2.0 0.0 0.0 0.0 9.0 2.0 13 1.0 2.0 1.0 0.0 0.0 5 18 8 23 2 7 5.0 15.0 0.29412 0.21739 0.4 0.33333 0.29412 0.42029
32 darwd001 Darwin Danny 113060 darwd001 darwida01 1002996 67.0 49 62 49 2.0 1.0 11.0 7.0 4.0 1.0 0.0 1.0 2.0 5.0 10 10.0 0.0 0.0 0.0 0.0 12 10 23 20 11 5 10.0 17.0 0.16129 0.34694 0.22388 0.38776 0.25806 0.55102
33 estes001 Estes Shawn 113915 estes001 estessh01 873 21.0 121 21 114 2.0 0.0 17.0 5.0 4.0 0.0 0.0 0.0 17.0 1.0 25 3.0 1.0 0.0 0.0 2.0 3 17 8 40 4 18 5.0 23.0 0.2381 0.20175 0.28571 0.33884 0.2381 0.28947
34 medir001 Medina Rafael 133241 medir001 medinra01 1008716 39.0 53 36 48 1.0 0.0 9.0 7.0 3.0 2.0 1.0 2.0 4.0 7.0 7 4.0 0.0 0.0 0.0 2.0 6 16 14 11 8 12 11.0 14.0 0.30556 0.29167 0.46154 0.33962 0.47222 0.45833
35 sancj001 Sanchez Jesus 133260 sancj001 sanchje01 1476 24.0 53 17 45 2.0 0.0 5.0 5.0 0.0 0.0 0.0 0.0 6.0 7.0 7 3.0 0.0 0.0 0.0 1.0 2 11 9 12 2 8 5.0 7.0 0.29412 0.15556 0.5 0.24528 0.29412 0.28889
36 larka001 Larkin Andy 117500 larka001 larkian01 1007345 44.0 49 38 49 1.0 1.0 6.0 7.0 1.0 0.0 1.0 0.0 2.0 8.0 5 7.0 0.0 0.0 1.0 1.0 9 10 13 25 3 4 8.0 9.0 0.21053 0.18367 0.36364 0.22449 0.28947 0.30612
37 heref001 Heredia Felix 115803 heref001 heredfe01 1304 33.0 47 33 43 1.0 0.0 7.0 2.0 4.0 1.0 0.0 1.0 9.0 2.0 7 8.0 1.0 0.0 0.0 0.0 5 12 11 6 4 11 4.0 12.0 0.12121 0.27907 0.18182 0.46809 0.21212 0.44186
38 meadb001 Meadows Brian 132785 meadb001 meadobr01 998 74.0 76 75 77 0.0 1.0 12.0 14.0 1.0 4.0 2.0 0.0 3.0 3.0 10 6.0 0.0 0.0 1.0 0.0 17 12 24 33 18 13 19.0 15.0 0.25333 0.19481 0.2973 0.23684 0.34667 0.25974
39 hernl003 Hernandez Livan 115817 hernl003 hernali01 1116 75.0 81 72 74 4.0 2.0 15.0 7.0 1.0 1.0 0.0 1.0 7.0 10.0 18 14.0 1.0 0.0 0.0 1.0 18 16 21 12 9 15 11.0 20.0 0.15278 0.27027 0.28 0.34568 0.27778 0.44595
40 glavt001 Glavine Tom 114849 glavt001 glavito02 90 23.0 107 24 101 0.0 2.0 17.0 2.0 6.0 0.0 0.0 0.0 7.0 1.0 20 5.0 0.0 0.0 0.0 0.0 3 19 9 44 4 13 4.0 23.0 0.16667 0.22772 0.21739 0.28037 0.41667 0.28713
41 martd001 Martinez Dennis 118371 martd001 martide01 1008161 37.0 46 36 48 2.0 1.0 8.0 10.0 2.0 0.0 1.0 0.0 1.0 0.0 11 5.0 0.0 0.0 3.0 0.0 7 12 18 11 5 11 11.0 13.0 0.30556 0.27083 0.2973 0.30435 0.38889 0.47917
42 maddg002 Maddux Greg 118120 maddg002 maddugr01 104 65.0 101 62 104 1.0 0.0 15.0 16.0 2.0 1.0 0.0 0.0 0.0 3.0 21 10.0 1.0 0.0 2.0 0.0 8 9 32 55 9 13 17.0 18.0 0.27419 0.17308 0.30769 0.18812 0.29032 0.22115
43 eldrc001 Eldred Cal 113793 eldrc001 eldreca01 1653 66.0 86 60 79 1.0 1.0 15.0 9.0 1.0 2.0 0.0 1.0 8.0 5.0 13 12.0 0.0 1.0 0.0 0.0 11 19 17 29 13 13 13.0 17.0 0.21667 0.21519 0.28788 0.2907 0.33333 0.26582
44 karls001 Karl Scott 116845 karls001 karlsc01 1006703 27.0 98 24 99 1.0 1.0 17.0 3.0 4.0 2.0 0.0 0.0 5.0 2.0 17 3.0 0.0 2.0 0.0 0.0 1 16 12 38 7 17 6.0 22.0 0.25 0.22222 0.37037 0.27551 0.45833 0.29293
45 neagd001 Neagle Denny 119673 neagd001 neaglde01 441 33.0 131 34 130 4.0 1.0 22.0 3.0 3.0 1.0 0.0 0.0 5.0 2.0 27 3.0 0.0 0.0 0.0 0.0 7 34 11 33 8 24 5.0 29.0 0.14706 0.22308 0.21212 0.25954 0.26471 0.33846
46 gracm002 Grace Mike 115008 gracm002 gracemi02 1004915 53.0 57 56 52 1.0 0.0 6.0 12.0 1.0 4.0 0.0 1.0 7.0 3.0 15 5.0 1.0 0.0 1.0 0.0 6 11 29 16 8 6 17.0 8.0 0.30357 0.15385 0.37736 0.2807 0.41071 0.23077
47 millk004 Millwood Kevin 119154 millk004 millwke01 106 54.0 65 50 65 0.0 0.0 10.0 10.0 1.0 1.0 0.0 0.0 1.0 8.0 24 13.0 1.0 0.0 0.0 0.0 7 7 17 20 6 8 11.0 11.0 0.22 0.16923 0.35185 0.2 0.24 0.18462
48 greet002 Green Tyler 115095 greet002 greenty01 1005014 49.0 62 43 56 0.0 0.0 9.0 5.0 1.0 2.0 0.0 1.0 5.0 7.0 7 8.0 2.0 0.0 1.0 0.0 6 10 20 28 6 9 8.0 10.0 0.18605 0.17857 0.30612 0.27419 0.27907 0.19643
49 schic002 Schilling Curt 121811 schic002 schilcu01 73 85.0 94 81 88 2.0 2.0 10.0 9.0 0.0 2.0 0.0 1.0 7.0 5.0 33 32.0 0.0 0.0 0.0 0.0 17 4 19 33 10 12 14.0 12.0 0.17284 0.13636 0.22353 0.20213 0.2963 0.20455
50 liebj001 Lieber Jon 117758 liebj001 liebejo01 287 67.0 59 58 57 0.0 7.0 7.0 8.0 2.0 2.0 0.0 0.0 3.0 7.0 16 11.0 1.0 0.0 1.0 1.0 17 11 20 16 10 5 17.0 9.0 0.2931 0.15789 0.35821 0.22034 0.68966 0.19298
51 petec001 Peters Chris 120454 petec001 peterch01 1010225 21.0 40 20 33 0.0 1.0 4.0 3.0 2.0 0.0 1.0 0.0 5.0 1.0 4 8.0 1.0 0.0 0.0 2.0 5 5 7 18 1 3 4.0 7.0 0.2 0.21212 0.2381 0.325 0.35 0.33333
52 silvj001 Silva Jose 122231 silvj001 silvajo01 354 64.0 61 55 60 0.0 1.0 11.0 14.0 3.0 2.0 0.0 1.0 2.0 8.0 13 10.0 0.0 0.0 1.0 0.0 16 10 18 25 11 11 18.0 14.0 0.32727 0.23333 0.40625 0.2623 0.45455 0.28333
53 cordf001 Cordova Francisco 112681 cordf001 cordofr01 1002623 81.0 73 79 66 1.0 1.0 10.0 10.0 3.0 3.0 0.0 0.0 5.0 4.0 13 15.0 0.0 0.0 1.0 0.0 14 9 28 29 15 9 14.0 14.0 0.17722 0.21212 0.22222 0.26027 0.25316 0.30303
54 wrigj001 Wright Jamey 124604 wrigj001 wrighja01 715 48.0 64 47 59 1.0 0.0 14.0 5.0 4.0 3.0 0.0 1.0 11.0 4.0 6 6.0 0.0 0.0 0.0 0.0 8 9 22 22 4 14 9.0 19.0 0.19149 0.32203 0.27083 0.46875 0.29787 0.44068
55 herso001 Hershiser Orel 115861 herso001 hershor01 1005741 63.0 82 62 74 2.0 1.0 8.0 7.0 5.0 1.0 0.0 0.0 8.0 5.0 14 9.0 3.0 0.0 0.0 0.0 11 10 29 32 5 12 9.0 15.0 0.14516 0.2027 0.22222 0.31707 0.20968 0.35135
56 mussm001 Mussina Mike 119608 mussm001 mussimi01 837 63.0 44 63 44 2.0 1.0 8.0 9.0 0.0 2.0 0.0 0.0 1.0 2.0 9 21.0 0.0 0.0 0.0 0.0 12 7 15 17 12 6 12.0 10.0 0.19048 0.22727 0.22222 0.25 0.26984 0.36364
57 belct001 Belcher Tim 110809 belct001 belchti01 1000789 71.0 71 66 64 1.0 3.0 10.0 11.0 3.0 2.0 0.0 0.0 6.0 7.0 14 6.0 3.0 0.0 0.0 0.0 20 14 25 18 7 10 16.0 14.0 0.24242 0.21875 0.32394 0.32394 0.40909 0.3125
58 rosaj001 Rosado Jose 121443 rosaj001 rosadjo01 1011192 29.0 44 28 44 1.0 0.0 7.0 3.0 2.0 1.0 0.0 0.0 5.0 2.0 4 10.0 0.0 1.0 0.0 0.0 3 8 8 17 3 8 4.0 10.0 0.14286 0.22727 0.24138 0.34091 0.17857 0.34091
59 servs001 Service Scott 122012 servs001 servisc01 1684 22.0 40 22 37 1.0 0.0 8.0 2.0 3.0 0.0 0.0 0.0 2.0 2.0 13 5.0 4.0 0.0 0.0 0.0 3 8 7 3 3 8 2.0 12.0 0.09091 0.32432 0.18182 0.45 0.09091 0.48649
60 ruscg001 Rusch Glendon 121556 ruscg001 ruschgl01 707 32.0 117 31 120 3.0 0.0 24.0 2.0 5.0 2.0 1.0 0.0 6.0 3.0 15 10.0 0.0 1.0 0.0 0.0 5 35 6 31 4 25 4.0 33.0 0.12903 0.275 0.25 0.33333 0.19355 0.40833
61 key-j001 Key Jimmy 117032 key-j001 keyji01 1006885 20.0 115 22 112 1.0 0.0 17.0 3.0 4.0 2.0 0.0 0.0 8.0 0.0 23 4.0 0.0 1.0 0.0 0.0 4 26 5 33 6 17 5.0 22.0 0.22727 0.19643 0.3 0.26087 0.31818 0.25893
62 rappp001 Rapp Pat 120933 rappp001 rapppa01 1010700 70.0 53 60 46 2.0 1.0 4.0 11.0 4.0 0.0 0.0 0.0 5.0 13.0 7 7.0 1.0 0.0 1.0 0.0 15 14 24 14 8 10 12.0 10.0 0.2 0.21739 0.35714 0.30189 0.25 0.43478
63 keagg001 Keagle Greg 116871 keagg001 keaglgr01 1006726 67.0 45 66 47 0.0 2.0 7.0 10.0 1.0 4.0 0.0 0.0 1.0 7.0 6 13.0 1.0 1.0 0.0 0.0 11 9 14 18 18 9 16.0 8.0 0.24242 0.17021 0.35821 0.22222 0.39394 0.19149
64 thomj003 Thompson Justin 123294 thomj003 thompju02 8217 36.0 102 39 95 0.0 2.0 16.0 5.0 3.0 2.0 0.0 0.0 13.0 0.0 22 5.0 0.0 0.0 0.0 0.0 10 14 8 28 8 20 9.0 19.0 0.23077 0.2 0.25 0.31373 0.4359 0.23158
65 eyres001 Eyre Scott 113961 eyres001 eyresc01 1300 35.0 92 32 80 5.0 2.0 9.0 6.0 4.0 1.0 1.0 0.0 13.0 4.0 20 2.0 0.0 0.0 0.0 0.0 10 23 10 22 6 10 9.0 19.0 0.28125 0.2375 0.37143 0.34783 0.5 0.5
66 baldj002 Baldwin James 110503 baldj002 baldwja01 1064 64.0 46 61 42 1.0 2.0 6.0 10.0 1.0 4.0 1.0 0.0 4.0 9.0 7 14.0 0.0 0.0 0.0 0.0 22 12 9 9 11 10 16.0 9.0 0.2623 0.21429 0.39062 0.28261 0.42623 0.35714
67 sirom001 Sirotka Mike 122276 sirom001 sirotmi01 1012015 41.0 97 40 93 3.0 2.0 15.0 6.0 5.0 2.0 0.0 1.0 4.0 2.0 15 4.0 0.0 0.0 0.0 0.0 8 20 16 31 9 17 11.0 23.0 0.275 0.24731 0.31707 0.27835 0.525 0.39785
68 rogek001 Rogers Kenny 121386 rogek001 rogerke01 1277 43.0 114 34 116 1.0 2.0 14.0 5.0 6.0 2.0 0.0 0.0 6.0 10.0 15 8.0 2.0 0.0 0.0 0.0 6 21 14 44 5 23 9.0 21.0 0.26471 0.18103 0.44186 0.25439 0.5 0.25862
69 haynj001 Haynes Jimmy 115649 haynj001 hayneji01 329 83.0 62 72 63 0.0 1.0 11.0 17.0 2.0 5.0 1.0 0.0 4.0 11.0 11 8.0 1.0 1.0 1.0 0.0 6 12 32 18 19 11 23.0 14.0 0.31944 0.22222 0.42169 0.30645 0.43056 0.28571
70 candt001 Candiotti Tom 111954 candt001 candito01 1001911 86.0 83 82 79 0.0 1.0 10.0 15.0 3.0 4.0 0.0 0.0 5.0 7.0 7 11.0 3.0 0.0 0.0 0.0 17 18 32 35 12 8 20.0 13.0 0.2439 0.16456 0.31395 0.25301 0.32927 0.20253
71 roseb002 Rose Brian 121450 roseb002 rosebr01 1011201 53.0 46 46 47 0.0 3.0 7.0 7.0 2.0 2.0 0.0 0.0 2.0 8.0 6 7.0 0.0 1.0 0.0 0.0 13 10 8 16 12 8 12.0 9.0 0.26087 0.19149 0.39623 0.23913 0.5 0.23404
72 spolp001 Spoljaric Paul 122605 spolp001 spoljpa01 1012349 22.0 41 18 35 0.0 1.0 3.0 3.0 3.0 0.0 0.0 0.0 4.0 5.0 7 9.0 1.0 0.0 0.0 2.0 6 5 1 16 3 2 4.0 6.0 0.22222 0.17143 0.40909 0.26829 0.38889 0.25714
73 moyej001 Moyer Jamie 119469 moyej001 moyerja01 1091 42.0 123 39 122 3.0 0.0 16.0 5.0 8.0 3.0 1.0 0.0 3.0 2.0 23 11.0 1.0 3.0 0.0 0.0 7 20 10 46 8 24 8.0 28.0 0.20513 0.22951 0.30952 0.26016 0.28205 0.38525
74 ayalb002 Ayala Bobby 110402 ayalb002 ayalabo01 1000384 33.0 40 32 37 1.0 1.0 8.0 2.0 1.0 2.0 0.0 1.0 2.0 3.0 6 6.0 1.0 0.0 0.0 0.0 8 6 7 19 6 4 6.0 10.0 0.1875 0.27027 0.27273 0.325 0.40625 0.37838
75 wrigj002 Wright Jaret 124605 wrigj002 wrighja02 415 73.0 60 69 54 1.0 3.0 7.0 12.0 2.0 6.0 0.0 0.0 7.0 4.0 15 10.0 0.0 3.0 1.0 0.0 15 11 25 16 14 7 21.0 10.0 0.30435 0.18519 0.38356 0.28333 0.52174 0.27778
76 navaj001 Navarro Jaime 119667 navaj001 navarja01 1009465 80.0 70 76 62 4.0 1.0 7.0 13.0 3.0 4.0 0.0 0.0 9.0 8.0 9 11.0 1.0 1.0 0.0 0.0 13 14 27 20 16 9 18.0 14.0 0.23684 0.22581 0.3375 0.34286 0.32895 0.46774
77 wittb001 Witt Bobby 124492 wittb001 wittbo01 1014170 73.0 66 63 62 3.0 0.0 10.0 16.0 4.0 6.0 0.0 2.0 4.0 10.0 2 7.0 0.0 0.0 0.0 0.0 12 23 19 20 22 12 24.0 17.0 0.38095 0.27419 0.46575 0.31818 0.53968 0.48387
78 selea001 Sele Aaron 121986 selea001 seleaa01 34 79.0 60 76 55 1.0 0.0 9.0 8.0 1.0 5.0 0.0 0.0 8.0 3.0 9 18.0 1.0 1.0 0.0 0.0 8 8 25 25 18 7 13.0 11.0 0.17105 0.2 0.21519 0.33333 0.23684 0.27273
79 berej002 Bere Jason 110891 berej002 bereja01 266 70.0 46 59 43 0.0 1.0 6.0 13.0 1.0 5.0 0.0 0.0 3.0 13.0 5 9.0 0.0 0.0 0.0 0.0 16 15 16 10 10 7 19.0 7.0 0.32203 0.16279 0.45714 0.21739 0.45763 0.18605
80 hentp001 Hentgen Pat 115797 hentp001 hentgpa01 145 64.0 75 62 71 5.0 1.0 9.0 8.0 4.0 5.0 0.0 0.0 5.0 2.0 7 7.0 1.0 1.0 0.0 0.0 16 18 23 32 9 9 14.0 18.0 0.22581 0.25352 0.26562 0.32 0.35484 0.52113
81 guzmj003 Guzman Juan 115267 guzmj003 guzmaju01 1005162 77.0 70 69 65 1.0 1.0 1.0 11.0 6.0 4.0 0.0 0.0 8.0 14.0 20 10.0 2.0 0.0 0.0 0.0 12 11 28 15 11 8 16.0 8.0 0.23188 0.12308 0.38961 0.25714 0.33333 0.26154
82 hanse001 Hanson Erik 115446 hanse001 hansoer01 1005333 40.0 42 37 37 2.0 0.0 5.0 11.0 3.0 1.0 0.0 0.0 5.0 4.0 5 2.0 0.0 0.0 0.0 0.0 8 8 14 14 12 7 12.0 10.0 0.32432 0.27027 0.4 0.35714 0.35135 0.51351
83 rislb001 Risley Bill 121231 rislb001 rislebi01 1010986 29.0 40 28 38 0.0 0.0 6.0 3.0 1.0 2.0 1.0 0.0 3.0 2.0 12 7.0 0.0 1.0 0.0 0.0 6 8 4 13 6 4 5.0 8.0 0.17857 0.21053 0.27586 0.275 0.25 0.28947
84 tracs001 Trachsel Steve 123431 tracs001 trachst01 898 63.0 63 56 58 2.0 1.0 7.0 11.0 2.0 0.0 1.0 0.0 4.0 10.0 12 9.0 3.0 0.0 0.0 0.0 14 14 20 14 7 10 12.0 12.0 0.21429 0.2069 0.34921 0.30159 0.26786 0.37931
85 vazqj001 Vazquez Javier 134320 vazqj001 vazquja01 801 36.0 62 34 57 1.0 0.0 12.0 4.0 3.0 0.0 2.0 0.0 8.0 6.0 12 6.0 1.0 0.0 0.0 0.0 13 11 7 18 4 11 4.0 18.0 0.11765 0.31579 0.27778 0.43548 0.11765 0.49123
86 batim001 Batista Miguel 110683 batim001 batismi01 46 37.0 44 29 45 1.0 1.0 0.0 7.0 4.0 2.0 0.0 0.0 4.0 9.0 8 6.0 0.0 0.0 1.0 0.0 2 10 14 13 3 6 10.0 5.0 0.34483 0.11111 0.51351 0.20455 0.51724 0.26667
87 piscm001 Pisciotta Marc 120599 piscm001 piscima01 1010369 33.0 44 23 43 1.0 0.0 10.0 2.0 1.0 1.0 0.0 0.0 2.0 9.0 8 4.0 0.0 0.0 0.0 0.0 6 5 8 21 4 6 3.0 12.0 0.13043 0.27907 0.36364 0.31818 0.17391 0.37209
88 valdm001 Valdes Marc 123596 valdm001 valdema01 1013313 24.0 58 21 54 1.0 1.0 10.0 3.0 0.0 1.0 0.0 0.0 8.0 3.0 12 0.0 0.0 1.0 1.0 0.0 8 5 6 22 4 8 5.0 11.0 0.2381 0.2037 0.375 0.32759 0.42857 0.25926
89 tapak001 Tapani Kevin 123090 tapak001 tapanke01 1012824 83.0 65 76 64 2.0 0.0 4.0 12.0 2.0 3.0 0.0 2.0 4.0 8.0 15 6.0 1.0 1.0 0.0 0.0 17 9 30 24 14 8 17.0 8.0 0.22368 0.125 0.31325 0.2 0.31579 0.25
90 moort001 Moore Trey 134340 moort001 mooretr01 1009130 28.0 66 28 68 3.0 0.0 9.0 4.0 5.0 2.0 0.0 0.0 3.0 2.0 10 6.0 0.0 0.0 0.0 2.0 10 16 5 24 5 13 6.0 17.0 0.21429 0.25 0.28571 0.30303 0.28571 0.45588
91 telea001 Telemaco Amaury 123176 telea001 telemam01 1802 39.0 51 39 45 1.0 2.0 2.0 4.0 1.0 4.0 0.0 0.0 7.0 3.0 10 6.0 0.0 0.0 0.0 0.0 9 9 10 15 8 4 10.0 4.0 0.25641 0.08889 0.33333 0.21569 0.51282 0.17778
92 clarm002 Clark Mark 112332 clarm002 clarkma01 1002296 70.0 79 68 74 0.0 1.0 13.0 13.0 3.0 3.0 0.0 1.0 5.0 4.0 15 10.0 1.0 1.0 0.0 1.0 20 13 21 30 15 8 18.0 16.0 0.26471 0.21622 0.32857 0.27848 0.38235 0.25676
93 perec001 Perez Carlos 120405 perec001 perezca01 1010179 42.0 131 42 120 2.0 0.0 16.0 11.0 7.0 3.0 1.0 2.0 10.0 1.0 20 3.0 0.0 1.0 0.0 2.0 13 24 14 47 9 22 16.0 26.0 0.38095 0.21667 0.42857 0.27481 0.54762 0.34167
94 gonzj003 Gonzalez Geremi 114928 gonzj003 gonzaje01 1711 42.0 60 41 56 2.0 0.0 8.0 3.0 1.0 5.0 0.0 1.0 5.0 2.0 8 12.0 0.0 0.0 0.0 2.0 10 13 13 19 7 8 9.0 11.0 0.21951 0.19643 0.2619 0.26667 0.39024 0.32143
95 leita001 Leiter Al 117652 leita001 leiteal01 883 26.0 101 24 95 0.0 0.0 17.0 3.0 4.0 2.0 0.0 0.0 9.0 1.0 20 7.0 2.0 1.0 0.0 0.0 3 8 9 40 4 15 5.0 21.0 0.20833 0.22105 0.26923 0.31683 0.29167 0.26316
96 reedr002 Reed Rick 120999 reedr002 reedri01 750 47.0 85 47 83 2.0 1.0 12.0 8.0 4.0 3.0 0.0 0.0 2.0 2.0 10 9.0 0.0 0.0 0.0 1.0 10 15 12 39 11 11 12.0 18.0 0.25532 0.21687 0.29787 0.23529 0.38298 0.33735
97 parkc002 Park Chan Ho 120221 parkc002 parkch01 1267 59.0 74 52 72 1.0 2.0 13.0 6.0 2.0 3.0 0.0 1.0 7.0 8.0 17 12.0 1.0 0.0 0.0 0.0 13 12 15 23 9 10 12.0 16.0 0.23077 0.22222 0.33898 0.32432 0.44231 0.29167
98 woodk002 Wood Kerry 134268 woodk002 woodke02 304 24.0 51 19 47 0.0 0.0 7.0 2.0 2.0 1.0 0.0 0.0 4.0 6.0 20 5.0 1.0 1.0 0.0 0.0 3 6 5 13 3 8 3.0 9.0 0.15789 0.19149 0.41667 0.27451 0.21053 0.23404
99 nomoh001 Nomo Hideo 119827 nomoh001 nomohi01 666 60.0 68 51 66 2.0 3.0 6.0 3.0 1.0 1.0 0.0 0.0 5.0 7.0 22 16.0 0.0 2.0 0.0 0.0 15 15 17 16 1 9 7.0 9.0 0.13725 0.13636 0.26667 0.20588 0.33333 0.24242
100 dreid001 Dreifort Darren 113554 dreid001 dreifda01 647 50.0 41 49 41 0.0 0.0 2.0 7.0 5.0 1.0 0.0 0.0 2.0 1.0 9 14.0 0.0 0.0 1.0 0.0 8 7 21 16 5 4 8.0 7.0 0.16327 0.17073 0.18 0.21951 0.18367 0.29268
101 valdi001 Valdez Ismael 123595 valdi001 valdeis01 1283 61.0 96 58 93 4.0 2.0 22.0 11.0 2.0 2.0 0.0 1.0 4.0 3.0 21 7.0 1.0 0.0 1.0 0.0 19 18 19 32 9 15 16.0 28.0 0.27586 0.30108 0.31148 0.34375 0.44828 0.45161
102 browk001 Brown Kevin 111554 browk001 brownke01 642 88.0 63 87 65 1.0 1.0 11.0 16.0 2.0 1.0 0.0 0.0 3.0 3.0 17 19.0 0.0 0.0 1.0 0.0 7 11 42 25 12 6 18.0 14.0 0.2069 0.21538 0.23864 0.26984 0.25287 0.29231
103 hamij002 Hamilton Joey 115383 hamij002 hamiljo02 328 68.0 85 63 80 2.0 2.0 8.0 9.0 3.0 4.0 0.0 1.0 9.0 7.0 11 12.0 0.0 0.0 0.0 0.0 20 17 21 33 5 7 16.0 13.0 0.25397 0.1625 0.33824 0.25882 0.44444 0.275
104 ashba002 Ashby Andy 110351 ashba002 ashbyan01 637 75.0 89 69 88 1.0 1.0 16.0 12.0 2.0 2.0 0.0 1.0 4.0 5.0 16 12.0 0.0 0.0 0.0 0.0 18 14 27 34 12 12 16.0 19.0 0.23188 0.21591 0.28 0.25843 0.33333 0.27273
105 bottk001 Bottenfield Kent 111264 bottk001 botteke01 1001226 29.0 41 29 35 2.0 0.0 5.0 5.0 3.0 0.0 0.0 0.0 3.0 1.0 10 7.0 0.0 1.0 0.0 1.0 6 5 9 6 3 10 5.0 10.0 0.17241 0.28571 0.24138 0.31707 0.17241 0.54286
106 weatd001 Weathers David 124000 weatd001 weathda01 902 47.0 52 45 55 0.0 1.0 11.0 9.0 2.0 2.0 0.0 2.0 1.0 3.0 11 8.0 0.0 0.0 1.0 0.0 4 6 21 18 10 14 14.0 13.0 0.31111 0.23636 0.3617 0.26923 0.51111 0.27273
107 harnp001 Harnisch Pete 115487 harnp001 harnipe01 1005374 73.0 82 66 74 1.0 2.0 10.0 6.0 4.0 3.0 0.0 0.0 5.0 7.0 13 8.0 1.0 0.0 0.0 0.0 20 16 19 30 11 13 11.0 15.0 0.16667 0.2027 0.24658 0.2561 0.30303 0.2973
108 belis001 Belinda Stan 110811 belis001 belinst01 1000792 38.0 47 31 45 0.0 0.0 4.0 6.0 2.0 0.0 0.0 0.0 4.0 8.0 10 5.0 1.0 0.0 1.0 2.0 8 8 5 11 8 8 6.0 6.0 0.19355 0.13333 0.36842 0.23404 0.19355 0.17778
109 tomkb001 Tomko Brett 123387 tomkb001 tomkobr01 1056 56.0 88 52 79 0.0 1.0 8.0 8.0 1.0 5.0 1.0 0.0 7.0 3.0 13 13.0 1.0 0.0 0.0 0.0 12 18 12 28 15 12 14.0 10.0 0.26923 0.12658 0.30357 0.20455 0.42308 0.16456
110 martr002 Martinez Ramon 118378 martr002 martira02 1008193 62.0 89 55 87 0.0 2.0 7.0 5.0 5.0 3.0 0.0 0.0 5.0 8.0 26 11.0 0.0 1.0 0.0 0.0 15 16 14 32 8 7 10.0 12.0 0.18182 0.13793 0.30645 0.19101 0.34545 0.1954
111 reyns001 Reynolds Shane 121110 reyns001 reynosh01 574 65.0 92 62 91 2.0 1.0 22.0 6.0 6.0 6.0 0.0 0.0 5.0 6.0 16 14.0 0.0 0.0 1.0 0.0 7 11 23 37 10 18 13.0 30.0 0.20968 0.32967 0.29231 0.38043 0.35484 0.46154
112 hampm001 Hampton Mike 115399 hampm001 hamptmi01 430 27.0 147 26 143 3.0 0.0 28.0 6.0 8.0 0.0 1.0 0.0 8.0 3.0 25 5.0 0.0 0.0 0.0 0.0 1 22 13 68 2 20 6.0 40.0 0.23077 0.27972 0.33333 0.32653 0.23077 0.41259
113 joneb003 Jones Bobby 116717 joneb003 jonesbo03 1039 57.0 67 55 63 1.0 0.0 5.0 9.0 2.0 3.0 2.0 0.0 7.0 5.0 6 9.0 2.0 0.0 0.0 0.0 7 9 18 27 12 10 12.0 10.0 0.21818 0.15873 0.29825 0.28358 0.27273 0.30159
114 yoshm001 Yoshii Masato 134180 yoshm001 yoshima01 807 41.0 57 36 54 0.0 2.0 8.0 6.0 2.0 1.0 0.0 0.0 4.0 4.0 7 12.0 0.0 0.0 0.0 0.0 8 15 10 17 7 9 9.0 10.0 0.25 0.18519 0.31707 0.24561 0.44444 0.22222
115 stepg001 Stephenson Garrett 122751 stepg001 stephga01 1185 44.0 41 44 35 0.0 2.0 4.0 7.0 1.0 4.0 0.0 0.0 8.0 5.0 7 7.0 0.0 0.0 0.0 0.0 10 10 15 11 5 5 13.0 5.0 0.29545 0.14286 0.40909 0.31707 0.52273 0.17143
116 clouk001 Cloude Ken 112415 clouk001 cloudke01 1002362 81.0 72 70 70 1.0 6.0 9.0 10.0 3.0 5.0 0.0 0.0 6.0 12.0 6 14.0 0.0 0.0 0.0 0.0 24 19 11 23 16 11 21.0 13.0 0.3 0.18571 0.40741 0.26389 0.62857 0.27143
117 swifb001 Swift Bill 123053 swifb001 swiftbi02 1012788 50.0 46 50 42 1.0 1.0 5.0 4.0 2.0 4.0 0.0 0.0 5.0 5.0 5 6.0 0.0 0.0 1.0 0.0 6 9 24 23 8 5 9.0 8.0 0.18 0.19048 0.28 0.28261 0.32 0.30952
118 polic001 Politte Cliff 131700 polic001 politcl01 967 46.0 66 43 60 3.0 1.0 8.0 6.0 3.0 2.0 1.0 0.0 6.0 4.0 9 6.0 1.0 0.0 0.0 0.0 8 13 12 20 10 11 9.0 15.0 0.2093 0.25 0.28261 0.33333 0.32558 0.48333
119 aybam001 Aybar Manny 110403 aybam001 aybarma01 1107 58.0 50 52 46 1.0 1.0 12.0 7.0 5.0 5.0 0.0 0.0 4.0 8.0 8 8.0 1.0 0.0 0.0 0.0 8 6 18 13 12 14 13.0 18.0 0.25 0.3913 0.36207 0.46 0.40385 0.56522
120 thomm002 Thompson Mark 123296 thomm002 thompma01 1013019 30.0 59 35 50 4.0 3.0 11.0 4.0 2.0 2.0 0.0 0.0 7.0 1.0 5 6.0 4.0 0.0 0.0 0.0 7 10 11 19 5 8 9.0 17.0 0.25714 0.34 0.33333 0.47458 0.57143 0.62
121 moehb001 Moehler Brian 119215 moehb001 moehlbr01 480 87.0 54 86 57 0.0 4.0 8.0 9.0 1.0 5.0 0.0 4.0 1.0 7.0 14 10.0 0.0 0.0 1.0 0.0 24 5 29 24 14 7 22.0 9.0 0.25581 0.15789 0.33333 0.18519 0.54651 0.17544
122 coned001 Cone David 112552 coned001 coneda01 1680 63.0 52 62 53 0.0 0.0 9.0 10.0 1.0 4.0 0.0 2.0 4.0 5.0 15 12.0 0.0 1.0 0.0 0.0 13 9 18 14 12 8 16.0 10.0 0.25806 0.18868 0.34921 0.26923 0.3871 0.20755
123 mendr001 Mendoza Ramiro 118947 mendr001 mendora01 836 57.0 49 53 48 1.0 0.0 8.0 12.0 2.0 4.0 0.0 1.0 2.0 2.0 4 5.0 0.0 2.0 1.0 0.0 10 7 27 28 11 7 17.0 11.0 0.32075 0.22917 0.36842 0.26531 0.43396 0.33333
124 burkj001 Burkett John 111734 burkj001 burkejo03 179 71.0 75 70 76 3.0 1.0 15.0 9.0 2.0 2.0 0.0 0.0 5.0 6.0 13 13.0 0.0 1.0 0.0 0.0 8 16 27 26 12 13 12.0 20.0 0.17143 0.26316 0.26761 0.33333 0.24286 0.40789
125 mercj001 Mercedes Jose 118960 mercj001 mercejo02 396 51.0 65 46 65 1.0 1.0 13.0 9.0 2.0 0.0 0.0 0.0 1.0 5.0 6 4.0 0.0 0.0 0.0 1.0 15 19 12 21 11 12 10.0 16.0 0.21739 0.24615 0.29412 0.26154 0.28261 0.32308
126 judej001 Juden Jeff 116785 judej001 judenje01 1006643 69.0 71 60 67 2.0 1.0 9.0 10.0 2.0 4.0 0.0 1.0 4.0 10.0 14 13.0 1.0 1.0 0.0 0.0 9 13 23 28 12 6 16.0 13.0 0.26667 0.19403 0.3913 0.25352 0.41667 0.31343
127 halaj001 Halama John 134280 halaj001 halamjo01 1080 29.0 107 26 100 0.0 0.0 13.0 3.0 7.0 4.0 2.0 0.0 11.0 2.0 12 9.0 1.0 1.0 0.0 0.0 4 24 6 44 4 13 7.0 22.0 0.26923 0.22 0.34483 0.31776 0.42308 0.33
128 ruetk001 Rueter Kirk 121541 ruetk001 rueteki01 1128 20.0 103 20 95 1.0 0.0 15.0 1.0 5.0 0.0 1.0 0.0 10.0 1.0 12 5.0 1.0 0.0 0.0 0.0 1 16 8 38 3 18 1.0 22.0 0.05 0.23158 0.1 0.32039 0.05 0.33684
129 limaj001 Lima Jose 117769 limaj001 limajo01 475 80.0 81 78 81 2.0 1.0 11.0 15.0 3.0 3.0 1.0 1.0 1.0 5.0 18 11.0 0.0 0.0 0.0 0.0 11 20 32 30 13 8 20.0 17.0 0.25641 0.20988 0.3125 0.22222 0.35897 0.34568
130 hermd001 Hermanson Dustin 115812 hermd001 hermadu01 195 48.0 74 43 67 2.0 2.0 14.0 5.0 2.0 0.0 0.0 0.0 4.0 5.0 15 12.0 1.0 0.0 0.0 1.0 10 11 11 24 5 14 7.0 18.0 0.16279 0.26866 0.25 0.31081 0.30233 0.38806
131 mlicd001 Mlicki Dave 119211 mlicd001 mlickda01 569 40.0 74 35 72 3.0 2.0 10.0 4.0 5.0 2.0 1.0 0.0 3.0 5.0 12 5.0 2.0 0.0 4.0 0.0 9 16 13 23 4 12 8.0 19.0 0.22857 0.26389 0.325 0.32432 0.45714 0.48611
132 morgm001 Morgan Mike 119374 morgm001 morgami01 67 75.0 50 73 49 3.0 3.0 7.0 15.0 3.0 3.0 0.0 2.0 2.0 1.0 9 8.0 1.0 0.0 1.0 0.0 15 14 28 15 19 9 23.0 13.0 0.31507 0.26531 0.32 0.32 0.53425 0.5102
133 milte001 Milton Eric 132980 milte001 miltoer01 743 32.0 88 29 84 0.0 2.0 15.0 7.0 7.0 2.0 0.0 0.0 6.0 3.0 11 3.0 0.0 0.0 0.0 0.0 14 32 4 17 6 13 11.0 22.0 0.37931 0.2619 0.4375 0.31818 0.65517 0.34524
134 pichh001 Pichardo Hipolito 120539 pichh001 pichahi01 1472 68.0 52 64 50 2.0 0.0 9.0 8.0 2.0 4.0 0.0 0.0 4.0 9.0 7 8.0 0.0 0.0 0.0 0.0 13 12 26 19 11 8 12.0 13.0 0.1875 0.26 0.30882 0.32692 0.25 0.42
135 tewkb001 Tewksbury Bob 123213 tewkb001 tewksbo01 1012941 84.0 70 83 71 4.0 1.0 10.0 9.0 4.0 2.0 1.0 1.0 1.0 2.0 7 15.0 0.0 0.0 0.0 0.0 20 17 35 21 12 18 13.0 19.0 0.15663 0.26761 0.17857 0.28571 0.24096 0.52113
136 tromm001 Trombley Mike 123472 tromm001 trombmi01 758 40.0 46 40 45 1.0 0.0 10.0 4.0 2.0 0.0 0.0 0.0 3.0 3.0 13 11.0 0.0 0.0 0.0 0.0 12 8 11 13 3 6 4.0 13.0 0.1 0.28889 0.175 0.34783 0.1 0.4
137 willw001 Williams Woody 124315 willw001 williwo02 1190 70.0 55 66 55 2.0 0.0 12.0 7.0 1.0 4.0 0.0 3.0 3.0 8.0 12 13.0 0.0 0.0 0.0 0.0 18 9 10 10 15 15 14.0 15.0 0.21212 0.27273 0.31429 0.32727 0.36364 0.4
138 radkb001 Radke Brad 120878 radkb001 radkebr01 748 68.0 68 67 66 1.0 1.0 7.0 11.0 3.0 5.0 0.0 0.0 3.0 3.0 18 14.0 0.0 0.0 0.0 0.0 14 10 21 25 11 4 17.0 11.0 0.25373 0.16667 0.29412 0.20588 0.37313 0.25758
139 clemr001 Clemens Roger 112388 clemr001 clemero02 815 51.0 57 47 53 0.0 0.0 3.0 3.0 3.0 4.0 0.0 0.0 6.0 10.0 16 8.0 1.0 0.0 0.0 0.0 8 8 17 19 7 7 7.0 6.0 0.14894 0.11321 0.33333 0.22807 0.23404 0.16981
140 hawkl001 Hawkins LaTroy 115629 hawkl001 hawkila01 729 71.0 64 60 58 1.0 2.0 7.0 11.0 2.0 1.0 0.0 1.0 8.0 10.0 10 6.0 1.0 0.0 0.0 0.0 21 18 23 21 6 6 15.0 10.0 0.25 0.17241 0.35211 0.29688 0.4 0.25862
141 hellr001 Helling Rick 115727 hellr001 helliri01 58 76.0 63 69 64 2.0 1.0 8.0 9.0 0.0 5.0 0.0 1.0 2.0 7.0 10 13.0 0.0 0.0 0.0 0.0 18 16 21 16 6 9 16.0 10.0 0.23188 0.15625 0.30263 0.19048 0.37681 0.25
142 schmj001 Schmidt Jason 121834 schmj001 schmija01 1131 67.0 77 63 74 3.0 3.0 8.0 11.0 4.0 6.0 1.0 1.0 4.0 2.0 14 9.0 0.0 0.0 1.0 0.0 21 14 24 26 7 10 21.0 16.0 0.33333 0.21622 0.34328 0.25974 0.60317 0.41892
143 stott001 Stottlemyre Todd 122840 stott001 stottto01 75 84.0 75 77 74 2.0 0.0 12.0 6.0 0.0 4.0 0.0 0.0 3.0 10.0 24 13.0 0.0 1.0 0.0 0.0 9 7 34 23 12 14 10.0 14.0 0.12987 0.18919 0.25 0.22667 0.18182 0.27027
144 oquim001 Oquist Mike 120039 oquim001 oquismi01 1009828 71.0 51 63 49 1.0 1.0 4.0 13.0 1.0 1.0 0.0 0.0 4.0 10.0 13 13.0 0.0 0.0 0.0 0.0 13 11 19 14 12 2 15.0 6.0 0.2381 0.12245 0.35211 0.19608 0.30159 0.20408
145 loaie001 Loaiza Esteban 117842 loaie001 loaizes01 1310 56.0 46 51 44 3.0 1.0 5.0 11.0 1.0 2.0 0.0 1.0 3.0 5.0 7 1.0 0.0 1.0 1.0 0.0 15 13 26 17 5 6 15.0 9.0 0.29412 0.20455 0.375 0.26087 0.43137 0.43182
146 sprid001 Springer Dennis 122618 sprid001 sprinde01 672 62.0 60 57 59 2.0 2.0 8.0 8.0 3.0 4.0 0.0 0.0 3.0 4.0 9 5.0 1.0 0.0 1.0 0.0 16 17 19 15 13 10 14.0 13.0 0.24561 0.22034 0.29032 0.28333 0.42105 0.37288

317
retrosheet_data.py
View File

@ -25,6 +25,12 @@ logging.basicConfig(
level=log_level
)
# Per-Update Parameters
SEASON_PCT = 0.1666666
START_DATE = 19980101
END_DATE = 19980430
POST_DATA = False
RETRO_FILE_PATH = 'data-input/retrosheet/'
EVENTS_FILENAME = 'retrosheets_events_1998_short.csv' # Removed last few columns which were throwing dtype errors
PERSONNEL_FILENAME = 'retrosheets_personnel.csv'
@ -56,11 +62,16 @@ def get_events_by_date(file_path: str, start_date: int, end_date: int) -> pd.Dat
return date_plays
def get_result_series(plays: pd.DataFrame, event_type: str, pitcher_hand: Literal['r', 'l'], col_name: str) -> pd.Series:
def get_batting_result_series(plays: pd.DataFrame, event_type: str, pitcher_hand: Literal['r', 'l'], col_name: str) -> pd.Series:
this_series = plays[(plays.event_type == event_type) & (plays.pitcher_hand == pitcher_hand)].groupby('batter_id').count()['event_type'].astype(int).rename(col_name)
return this_series
def get_pitching_result_series(plays: pd.DataFrame, event_type: str, batter_hand: Literal['r', 'l'], col_name: str) -> pd.Series:
this_series = plays[(plays.event_type == event_type) & (plays.batter_hand == batter_hand)].groupby('pitcher_id').count()['event_type'].astype(int).rename(col_name)
return this_series
def get_run_stat_df(input_path: str):
run_data = pd.read_csv(f'{input_path}running.csv') #.set_index('Name-additional'))
# if 'Player' in run_data:
@ -146,17 +157,37 @@ def get_base_batting_df(all_plays: pd.DataFrame) -> pd.DataFrame:
pal_series = all_plays[(all_plays.batter_event == 't') & (all_plays.pitcher_hand == 'l')].groupby('batter_id').count()['event_type'].astype(int).rename('PA_vL')
bs = pd.concat([bs, pal_series], axis=1)
par_series = all_plays[(all_plays.batter_event == 't') & (all_plays.pitcher_hand == 'r')].groupby('batter_id').count()['event_type'].astype(int).rename('PA_vR')
bs = pd.concat([bs, par_series], axis=1)
abl_series = all_plays[(all_plays.ab == 't') & (all_plays.pitcher_hand == 'l')].groupby('batter_id').count()['event_type'].astype(int).rename('AB_vL')
bs = pd.concat([bs, abl_series], axis=1)
abr_series = all_plays[(all_plays.ab == 't') & (all_plays.pitcher_hand == 'r')].groupby('batter_id').count()['event_type'].astype(int).rename('AB_vR')
bs = pd.concat([bs, abr_series], axis=1)
return bs.dropna().query(f'PA_vL >= {MIN_PA_VL} & PA_vR >= {MIN_PA_VR}')
def get_base_pitching_df(all_plays: pd.DataFrame) -> pd.DataFrame:
ps = get_player_ids(all_plays, 'pitchers')
tbfl_series = all_plays[(all_plays.batter_event == 't') & (all_plays.batter_hand == 'l')].groupby('pitcher_id').count()['event_type'].astype(int).rename('TBF_vL')
ps = pd.concat([ps, tbfl_series], axis=1)
tbfr_series = all_plays[(all_plays.batter_event == 't') & (all_plays.batter_hand == 'r')].groupby('pitcher_id').count()['event_type'].astype(int).rename('TBF_vR')
ps = pd.concat([ps, tbfr_series], axis=1)
abl_series = all_plays[(all_plays.ab == 't') & (all_plays.batter_hand == 'l')].groupby('pitcher_id').count()['event_type'].astype(int).rename('AB_vL')
ps = pd.concat([ps, abl_series], axis=1)
abr_series = all_plays[(all_plays.ab == 't') & (all_plays.batter_hand == 'r')].groupby('pitcher_id').count()['event_type'].astype(int).rename('AB_vR')
ps = pd.concat([ps, abr_series], axis=1)
return ps.dropna().query(f'TBF_vL >= {MIN_TBF_VL} & TBF_vR >= {MIN_TBF_VR}')
def get_batting_stats_by_date(retro_file_path, start_date: int, end_date: int) -> pd.DataFrame:
start = datetime.datetime.now()
all_plays = get_events_by_date(retro_file_path, start_date, end_date)
@ -189,7 +220,7 @@ def get_batting_stats_by_date(retro_file_path, start_date: int, end_date: int) -
('hit by pitch', 'r', 'HBP_vR'),
('hit by pitch', 'l', 'HBP_vL')
]:
this_series = get_result_series(all_plays, event_type, vs_hand, col_name)
this_series = get_batting_result_series(all_plays, event_type, vs_hand, col_name)
batting_stats[col_name] = this_series
print(f'Count basic stats: {(datetime.datetime.now() - start).total_seconds():.2f}s')
@ -335,6 +366,101 @@ def get_batting_stats_by_date(retro_file_path, start_date: int, end_date: int) -
return batting_stats
def get_pitching_stats_by_date(retro_file_path, start_date: int, end_date: int) -> pd.DataFrame:
start = datetime.datetime.now()
all_plays = get_events_by_date(retro_file_path, start_date, end_date)
print(f'Pull events: {(datetime.datetime.now() - start).total_seconds():.2f}s')
start = datetime.datetime.now()
pitching_stats = get_base_pitching_df(all_plays)
print(f'Get base dataframe: {(datetime.datetime.now() - start).total_seconds():.2f}s')
start = datetime.datetime.now()
all_player_ids = pitching_stats['key_retro']
all_plays = all_plays[all_plays['pitcher_id'].isin(all_player_ids)]
print(f'Shrink all_plays: {(datetime.datetime.now() - start).total_seconds():.2f}s')
# Basic counting stats
start = datetime.datetime.now()
for event_type, vs_hand, col_name in [
('home run', 'r', 'HR_vR'),
('home run', 'l', 'HR_vL'),
('single', 'r', '1B_vR'),
('single', 'l', '1B_vL'),
('double', 'r', '2B_vR'),
('double', 'l', '2B_vL'),
('triple', 'r', '3B_vR'),
('triple', 'l', '3B_vL'),
('walk', 'r', 'BB_vR'),
('walk', 'l', 'BB_vL'),
('strikeout', 'r', 'SO_vR'),
('strikeout', 'l', 'SO_vL'),
('hit by pitch', 'r', 'HBP_vR'),
('hit by pitch', 'l', 'HBP_vL'),
('intentional walk', 'l', 'IBB_vL'),
('intentional walk', 'r', 'IBB_vR')
]:
this_series = get_pitching_result_series(all_plays, event_type, vs_hand, col_name)
pitching_stats[col_name] = this_series
print(f'Count basic stats: {(datetime.datetime.now() - start).total_seconds():.2f}s')
pitching_stats = pitching_stats.fillna(0)
# Bespoke counting stats
start = datetime.datetime.now()
def get_fb_vl(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'f') & (all_plays.batter_hand == 'l')].count()['event_type'].astype(int)
def get_fb_vr(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'f') & (all_plays.batter_hand == 'r')].count()['event_type'].astype(int)
def get_gb_vl(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'G') & (all_plays.batter_hand == 'l')].count()['event_type'].astype(int)
def get_gb_vr(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'G') & (all_plays.batter_hand == 'r')].count()['event_type'].astype(int)
def get_ld_vl(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'l') & (all_plays.batter_hand == 'l')].count()['event_type'].astype(int)
def get_ld_vr(row):
return all_plays[(all_plays.pitcher_id == row['key_retro']) & (all_plays.batted_ball_type == 'l') & (all_plays.batter_hand == 'r')].count()['event_type'].astype(int)
pitching_stats['FB_vL'] = pitching_stats.apply(get_fb_vl, axis=1)
pitching_stats['FB_vR'] = pitching_stats.apply(get_fb_vr, axis=1)
pitching_stats['GB_vL'] = pitching_stats.apply(get_gb_vl, axis=1)
pitching_stats['GB_vR'] = pitching_stats.apply(get_gb_vr, axis=1)
# pitching_stats['LD_vL'] = pitching_stats.apply(get_ld_vl, axis=1)
# pitching_stats['LD_vR'] = pitching_stats.apply(get_ld_vr, axis=1)
pitching_stats['H_vL'] = pitching_stats['1B_vL'] + pitching_stats['2B_vL'] + pitching_stats['3B_vL'] + pitching_stats['HR_vL']
pitching_stats['H_vR'] = pitching_stats['1B_vR'] + pitching_stats['2B_vR'] + pitching_stats['3B_vR'] + pitching_stats['HR_vR']
print(f'Custom counting stats: {(datetime.datetime.now() - start).total_seconds():.2f}s')
# Calculated Fields
"""
Hard%_vL & R
Med%_vL & R
Soft%_vL & R
HR/FB_vL & R
Oppo%_vL & R
"""
start = datetime.datetime.now()
pitching_stats['AVG_vL'] = round(pitching_stats['H_vL'] / pitching_stats['AB_vL'], 5)
pitching_stats['AVG_vR'] = round(pitching_stats['H_vR'] / pitching_stats['AB_vR'], 5)
pitching_stats['OBP_vL'] = round((pitching_stats['H_vL'] + pitching_stats['BB_vL'] + pitching_stats['HBP_vL']) / pitching_stats['TBF_vL'], 5)
pitching_stats['OBP_vR'] = round((pitching_stats['H_vR'] + pitching_stats['BB_vR'] + pitching_stats['HBP_vR']) / pitching_stats['TBF_vR'], 5)
pitching_stats['SLG_vL'] = round((pitching_stats['1B_vL'] + pitching_stats['2B_vL'] * 2 + pitching_stats['3B_vL'] * 3 + pitching_stats['HR_vL'] * 4) / pitching_stats['AB_vL'], 5)
pitching_stats['SLG_vR'] = round((pitching_stats['1B_vR'] + pitching_stats['2B_vR'] * 2 + pitching_stats['3B_vR'] * 3 + pitching_stats['HR_vR'] * 4) / pitching_stats['AB_vR'], 5)
pitching_stats = pitching_stats.fillna(0)
print(f'Calculated fields: {(datetime.datetime.now() - start).total_seconds():.2f}s')
return pitching_stats
def calc_batting_cards(bs: pd.DataFrame, season_pct: float) -> pd.DataFrame:
def create_batting_card(row):
steal_data = cba.stealing(
@ -580,85 +706,90 @@ def calc_positions(bs: pd.DataFrame) -> pd.DataFrame:
return pos_df
async def get_or_post_players(stat_df: pd.DataFrame, bat_card_df: pd.DataFrame, bat_rat_df: pd.DataFrame, def_rat_df: pd.DataFrame) -> pd.DataFrame:
async def get_or_post_players(bstat_df: pd.DataFrame = None, bat_rat_df: pd.DataFrame = None, def_rat_df: pd.DataFrame = None, pstat_df: pd.DataFrame = None, pit_rat_df: pd.DataFrame = None) -> pd.DataFrame:
# Refactor this to support batters or pitchers, make stat dfs optional and send to getorpostbatters/getorpostpitchers
all_players = []
dev_count = 0
for index, row in stat_df.iterrows():
if dev_count < 0:
break
if bstat_df is not None and bat_rat_df is not None and def_rat_df is not None:
for index, row in bstat_df.iterrows():
if dev_count < 0:
break
p_query = await db_get('players', params=[('bbref_id', row["key_bbref"]), ('cardset_id', CARDSET_ID)])
if p_query['count'] > 0:
this_record = p_query['players'][0]
# if 'id' in this_record:
# player_id = this_record['id']
# else:
# player_id = this_record['player_id']
# all_bbref_ids.append(row['key_bbref'])
# all_player_ids.append(player_id)
all_players.append(this_record)
else:
mlb_query = await db_get('mlbplayers', params=[('key_retro', row['key_retro'])])
if mlb_query['count'] > 0:
mlb_player = mlb_query['players'][0]
p_query = await db_get('players', params=[('bbref_id', row["key_bbref"]), ('cardset_id', CARDSET_ID)])
if p_query['count'] > 0:
this_record = p_query['players'][0]
# if 'id' in this_record:
# player_id = this_record['id']
# else:
# player_id = this_record['player_id']
# all_bbref_ids.append(row['key_bbref'])
# all_player_ids.append(player_id)
all_players.append(this_record)
else:
mlb_player = await db_post(
'mlbplayers/one',
payload={
'first_name': row['use_name'],
'last_name': row['last_name'],
'key_mlbam': row['key_mlbam'],
'key_fangraphs': row['key_fangraphs'],
'key_bbref': row['key_bbref'],
'key_retro': row['key_retro']
}
)
player_payload = {
'p_name': f'{row["use_name"]} {row["last_name"]}',
'cost': f'{bat_rat_df.loc[row['key_bbref']]["cost"]}',
'image': f'change-me',
'mlbclub': CLUB_LIST[row['Tm']],
'franchise': FRANCHISE_LIST[row['Tm']],
'cardset_id': CARDSET_ID,
'set_num': int(float(row['key_fangraphs'])),
'rarity_id': int(bat_rat_df.loc[row['key_bbref']]['rarity_id']),
'description': PLAYER_DESCRIPTION,
'bbref_id': row['key_bbref'],
'fangr_id': row['key_fangraphs'],
'mlbplayer_id': mlb_player['id']
}
try:
count = 1
all_pos = def_rat_df.loc[row['key_bbref']].sort_values(by='innings', ascending=False)
for index, pos_row in all_pos.iterrows():
player_payload[f'pos_{count}'] = pos_row.position
count += 1
except KeyError:
logging.info(f'No positions found for {row['use_name']} {row['last_name']}')
player_payload['pos_1'] = 'DH'
except TypeError:
logging.info(f'Only one position found for {row['use_name']} {row['last_name']}')
player_payload['pos_1'] = def_rat_df.loc[row['key_bbref']].position
mlb_query = await db_get('mlbplayers', params=[('key_retro', row['key_retro'])])
if mlb_query['count'] > 0:
mlb_player = mlb_query['players'][0]
else:
mlb_player = await db_post(
'mlbplayers/one',
payload={
'first_name': row['use_name'],
'last_name': row['last_name'],
'key_mlbam': row['key_mlbam'],
'key_fangraphs': row['key_fangraphs'],
'key_bbref': row['key_bbref'],
'key_retro': row['key_retro']
}
)
player_payload = {
'p_name': f'{row["use_name"]} {row["last_name"]}',
'cost': f'{bat_rat_df.loc[row['key_bbref']]["cost"]}',
'image': f'change-me',
'mlbclub': CLUB_LIST[row['Tm']],
'franchise': FRANCHISE_LIST[row['Tm']],
'cardset_id': CARDSET_ID,
'set_num': int(float(row['key_fangraphs'])),
'rarity_id': int(bat_rat_df.loc[row['key_bbref']]['rarity_id']),
'description': PLAYER_DESCRIPTION,
'bbref_id': row['key_bbref'],
'fangr_id': row['key_fangraphs'],
'mlbplayer_id': mlb_player['id']
}
try:
count = 1
all_pos = def_rat_df.loc[row['key_bbref']].sort_values(by='innings', ascending=False)
for index, pos_row in all_pos.iterrows():
player_payload[f'pos_{count}'] = pos_row.position
count += 1
except KeyError:
logging.info(f'No positions found for {row['use_name']} {row['last_name']}')
player_payload['pos_1'] = 'DH'
except TypeError:
logging.info(f'Only one position found for {row['use_name']} {row['last_name']}')
player_payload['pos_1'] = def_rat_df.loc[row['key_bbref']].position
new_player = await db_post('players', payload=player_payload)
new_player = await db_post('players', payload=player_payload)
if 'id' in new_player:
player_id = new_player['id']
else:
player_id = new_player['player_id']
if 'id' in new_player:
player_id = new_player['id']
else:
player_id = new_player['player_id']
await db_patch('players', object_id=player_id, params=[('image', f'{CARD_BASE_URL}{player_id}/battingcard{urllib.parse.quote("?d=")}{RELEASE_DIRECTORY}')])
# all_bbref_ids.append(row['key_bbref'])
# all_player_ids.append(player_id)
all_players.append(new_player)
await db_patch('players', object_id=player_id, params=[('image', f'{CARD_BASE_URL}{player_id}/battingcard{urllib.parse.quote("?d=")}{RELEASE_DIRECTORY}')])
# all_bbref_ids.append(row['key_bbref'])
# all_player_ids.append(player_id)
all_players.append(new_player)
dev_count += 1
dev_count += 1
elif pstat_df is not Noen and pit_rat_df is not None and def_rat_df is not None:
pass
else:
raise KeyError(f'Could not get players - not enough stat DFs were supplied')
players_df = pd.DataFrame(all_players).set_index('bbref_id')
return players_df
@ -848,16 +979,50 @@ async def run_batters(data_input_path: str, start_date: int, end_date: int, post
return batting_stats
async def run_pitchers(data_input_path: str, start_date: int, end_date: int, post_data: bool = False, season_pct: float = 1.0):
# Get pitching stats
pitching_stats = get_pitching_stats_by_date(f'{RETRO_FILE_PATH}{EVENTS_FILENAME}', start_date=start_date, end_date=end_date)
# Get peripheral stats
# Calculate pitching cards
# Calculate defense ratings
# Post all data
if post_data:
print(f'Posting player data...')
post_start = datetime.datetime.now()
num_players = await post_pitcher_data()
post_end = datetime.datetime.now()
print(f'Post player data: {(post_end - post_start).total_seconds()}s')
post_msg = f'Posted {num_players} players to the database'
logging.info(post_msg)
print(post_msg)
else:
post_msg = f'Players are NOT being posted to the database'
logging.warning(post_msg)
print(post_msg)
return pitching_stats
async def main(args):
batter_start = datetime.datetime.now()
batting_stats = await run_batters(f'{DATA_INPUT_FILE_PATH}', start_date=19980101, end_date=19980430, post_data=True, season_pct=0.16666667)
batting_stats.to_csv(f'batting_stats.csv')
batter_end = datetime.datetime.now()
# batter_start = datetime.datetime.now()
# batting_stats = await run_batters(f'{DATA_INPUT_FILE_PATH}', start_date=START_DATE, end_date=END_DATE, post_data=POST_DATA, season_pct=SEASON_PCT)
# batting_stats.to_csv(f'batting_stats.csv')
# batter_end = datetime.datetime.now()
# print(f'\n\nBatter time: {(batter_end - batter_start).total_seconds():.2f}s')
pitcher_start = datetime.datetime.now()
pitching_stats = await run_pitchers(f'{DATA_INPUT_FILE_PATH}', start_date=START_DATE, end_date=END_DATE, post_data=POST_DATA, season_pct=SEASON_PCT)
pitching_stats.to_csv(f'pitching_stats.csv')
pitcher_end = datetime.datetime.now()
print(f'\n\Pitcher time: {(pitcher_end - pitcher_start).total_seconds():.2f}s')
print(f'\n\nBatter time: {(batter_end - batter_start).total_seconds():.2f}s \nPitcher time: {(pitcher_end - pitcher_start).total_seconds():.2f}s\nTotal: {(pitcher_end - batter_start).total_seconds():.2f}s\n\nDone!')
# print(f'Total: {(pitcher_end - batter_start).total_seconds():.2f}s\n\nDone!')
# await store_defense_to_csv(1998)