Digest for alt.sports.baseball.bos-redsox@googlegroups.com - 7 updates in 5 topics

Wednesday, June 7, 2017

nate <greystone@net1plus.com>: Jun 06 09:17PM -0700

great win!
hope Kimbrel doesn't get blown out.
 
Andrew making the surging recovery, but I should keep quiet lest the mighty all-powerful WOOFing GODS hear.
 
 
- nate
 
 
p.s.:https://groups.google.com/forum/?hl=en#!msg/rec.sport.football.college/06nJPK3E3Wc/zj2foAtEr1YJ
BTTalbot2003@yahoo.com: Jun 06 06:13PM -0700

Holy crap!
Pomeranz done after throwing 123
pitches in 5 innings.
Sox lead 5-2.
 
BTT
Pearly Soames <pearlysoames99@gmail.com>: Jun 06 06:21PM -0700

> pitches in 5 innings.
> Sox lead 5-2.
 
> BTT
 
Yeah, they really worked him. Hope the bullpen can hold on.
Pearly Soames <pearlysoames99@gmail.com>: Jun 06 07:47PM -0700

On Tuesday, June 6, 2017 at 9:21:12 PM UTC-4, Pearly Soames wrote:
> > Sox lead 5-2.
 
> > BTT
 
> Yeah, they really worked him. Hope the bullpen can hold on.
 
Yes! Kimbrel was not screwing around tonight
nate <greystone@net1plus.com>: Jun 06 11:16AM -0700

View in fixed font!
Raw data from Baseball-Reference.com
In all of the following, a plus sign {'+') following the 3-letter
team name means current team, but total season numbers.
 
HITTING
Ev = Events = PA + SB + CS
OC = Outs Created = AB-H + CS + SF + SH + GIDP + OoB
BP = Bases Produced = TB+BB+SB+SF+SH-CS-GIDP+HBP+CI+XBT
AdjOPS = BP/ ( OC or 1, whichever is more )
PfAdjOPS = AdjOPS corrected for Park Factor
 
AL hitting Ev OC BP AdjOPS PfAdjOPS
MikeTrout LAA 217 113 177 1.566 1.5822
AlexAvila DET 125 69 86 1.246 1.2526
MitchHaniger SEA 98 55 68 1.236 1.2489
YonderAlonso OAK 177 107 128 1.196 1.2333
J.D.Martinez DET 88 56 68 1.214 1.2204
MiguelSano MIN 210 125 146 1.168 1.1680
AaronJudge NYY 226 137 157 1.146 1.1235
MarwinGonzalez HOU 171 105 113 1.076 1.1210
AaronHicks NYY 180 103 114 1.107 1.0851
CarlosCorrea HOU 232 140 141 1.007 1.0491
CoreyDickerson TBR 244 155 152 .981 1.0110
NelsonCruz SEA 228 145 141 .972 .9822
ChadPinder OAK 92 61 58 .951 .9802
JoseAltuve HOU 260 162 152 .938 .9774
BenGamel SEA 151 90 86 .956 .9652
StevenSouza TBR 230 144 132 .917 .9450
BrettGardner NYY 227 143 136 .951 .9324
RobbieGrossman MIN 168 102 94 .922 .9216
LoganMorrison TBR 219 149 133 .893 .9202
GeorgeSpringer HOU 244 161 141 .876 .9123
XanderBogaerts BOS 231 137 127 .927 .9000
JustinSmoak TOR 209 140 126 .900 .8867
JustinUpton DET 221 144 125 .868 .8724
KhrisDavis OAK 230 158 130 .823 .8482
MaxKepler MIN 214 136 115 .846 .8456
AvisailGarcia CHW 219 145 120 .828 .8445
MattHolliday NYY 206 137 118 .861 .8444
JoeyGallo TEX 212 145 125 .862 .8410
LonnieChisenhall CLE 108 73 64 .877 .8310
WhitMerrifield KCR 163 105 88 .838 .8257
FranciscoLindor CLE 245 168 146 .869 .8237
MookieBetts BOS 252 166 139 .837 .8130
JeanSegura SEA 211 127 102 .803 .8113
ChrisDavis BAL 224 150 122 .813 .8093
JorgeBonifacio KCR 138 94 77 .819 .8070
RyonHealy OAK 225 156 122 .782 .8062
StarlinCastro NYY 233 153 125 .817 .8010
JedLowrie OAK 232 154 119 .773 .7966
TreyMancini BAL 149 100 80 .800 .7960
MiguelCabrera DET 186 118 91 .771 .7751
BrianMcCann HOU 152 101 75 .743 .7735
MichaelBrantley CLE 208 130 106 .815 .7729
CarlosGomez TEX 171 109 86 .789 .7697
LeuryGarcia CHW 184 122 92 .754 .7695
ToddFrazier CHW 197 134 101 .754 .7691
SethSmith BAL 139 92 71 .772 .7679
RobinsonCano SEA 208 145 110 .759 .7663
NomarMazara TEX 223 143 112 .783 .7641
CameronMaybin LAA 202 127 96 .756 .7635
GarySanchez NYY 125 81 63 .778 .7625
JoseRamirez CLE 230 148 119 .804 .7621
ElvisAndrus TEX 258 168 131 .780 .7607
JoseBautista TOR 252 166 128 .771 .7597
JonathanSchoop BAL 213 148 113 .764 .7597
KevinKiermaier TBR 264 174 128 .736 .7584
EvanGattis HOU 143 96 69 .719 .7487
JoshReddick HOU 213 144 103 .715 .7451
MitchMoreland BOS 217 141 108 .766 .7436
JarrodDyson SEA 214 136 100 .735 .7427
JoseAbreu CHW 233 161 117 .727 .7415
WelingtonCastillo BAL 124 82 61 .744 .7402
JasonCastro MIN 148 99 73 .737 .7374
JacobyEllsbury NYY 163 104 78 .750 .7353
LorenzoCain KCR 241 155 115 .742 .7310
MikeMoustakas KCR 211 151 112 .742 .7308
EzequielCarrera TOR 173 112 83 .741 .7301
DelinoDeShields TEX 152 97 72 .742 .7242
DanielRobertson TBR 127 87 61 .701 .7228
RussellMartin TOR 142 93 68 .731 .7204
MatthewJoyce OAK 185 129 90 .698 .7193
DidiGregorius NYY 141 93 68 .731 .7168
AndrewBenintendi BOS 241 160 118 .738 .7160
JamesMcCann DET 125 89 63 .708 .7114
JackieBradley BOS 157 108 79 .731 .7102
KevinPillar TOR 262 175 126 .720 .7094
BrianDozier MIN 246 161 114 .708 .7081
EricHosmer KCR 236 157 111 .707 .6966
YolmerSanchez CHW 165 110 75 .682 .6957
TimBeckham TBR 226 159 107 .673 .6938
YuliGurriel HOU 193 137 91 .664 .6919
JoeMauer MIN 198 133 92 .692 .6917
DustinPedroia BOS 200 125 89 .712 .6913
HanleyRamirez BOS 196 131 93 .710 .6892
KyleSeager SEA 232 157 107 .682 .6884
MarkTrumbo BAL 239 164 113 .689 .6856
EvanLongoria TBR 256 179 119 .665 .6854
MannyMachado BAL 244 173 119 .688 .6844
IanKinsler DET 184 122 83 .680 .6837
MartinMaldonado LAA 172 116 78 .672 .6792
MattDavidson CHW 150 110 73 .664 .6772
AlexBregman HOU 221 154 100 .649 .6764
CarlosBeltran HOU 207 145 94 .648 .6753
ChrisYoung BOS 124 82 57 .695 .6749
Shin-SooChoo TEX 216 146 100 .685 .6682
NicholasCastellanos DET 240 168 110 .655 .6581
DannyValencia SEA 206 143 93 .650 .6569
KoleCalhoun LAA 246 170 110 .647 .6536
KendrysMorales TOR 222 160 106 .662 .6527
VictorMartinez DET 208 142 91 .641 .6441
JasonKipnis CLE 167 118 80 .678 .6426
CarlosSantana CLE 249 172 116 .674 .6393
EdwinEncarnacion CLE 232 159 107 .673 .6379
ChaseHeadley NYY 209 140 91 .650 .6373
YanGomes CLE 135 94 63 .670 .6353
AndreltonSimmons LAA 252 173 108 .624 .6306
TaylorMotter SEA 171 122 76 .623 .6292
AlbertPujols LAA 223 159 99 .623 .6289
BrandonMoss KCR 148 110 70 .636 .6270
BradMiller TBR 174 117 71 .607 .6256
DevonTravis TOR 203 147 93 .633 .6233
MelkyCabrera CHW 224 156 95 .609 .6214
AndrewRomine DET 161 110 68 .618 .6213
AdamJones BAL 225 162 101 .623 .6204
TimAnderson CHW 209 151 90 .596 .6082
SalvadorPerez KCR 211 158 97 .614 .6049
JoseIglesias DET 177 127 75 .591 .5935
JorgePolanco MIN 201 142 84 .592 .5915
EddieRosario MIN 192 141 82 .582 .5816
YunelEscobar LAA 189 135 77 .570 .5761
MikeNapoli TEX 203 155 91 .587 .5728
AdamRosales OAK 157 114 63 .553 .5697
ByronBuxton MIN 179 123 70 .569 .5691
RyanGoins TOR 141 103 59 .573 .5644
StephenVogt OAK 145 106 58 .547 .5641
GuillermoHeredia SEA 174 121 67 .554 .5593
DerekNorris TBR 161 120 62 .517 .5326
TylerCollins DET 150 109 57 .523 .5256
JonathanLucroy TEX 170 124 65 .524 .5114
DannyEspinosa LAA 178 135 66 .489 .4938
RougnedOdor TEX 250 186 94 .505 .4931
TrevorPlouffe OAK 192 149 68 .456 .4705
RajaiDavis OAK 182 135 61 .452 .4658
AlexGordon KCR 202 146 63 .432 .4251
J.J.Hardy BAL 197 153 64 .418 .4162
AlcidesEscobar KCR 232 186 59 .317 .3125
Bases Produced to qualify: 56.67
 
PITCHING
Ev = Events = Batters Faced + Steal Attempts
OI = Outs Induced = AB-H + CS + SF + SH + GIDP
BG = Bases Given = TB+BB+SB+SF+SH-CS-GIDP+HBP + (BK+WP-IBB)
AdjOPS = BG/ ( OI or 1, whichever is more )
PfAdjOPS = AdjOPS corrected for Park Factor
 
AL pitching Ev OI BG AdjOPS PfAdjOPS
CraigKimbrel BOS 91 78 21 .269 .2614
NickGoody CLE 77 65 18 .277 .2625
AndrewMiller CLE 104 83 25 .301 .2855
TommyKahnle CHW 83 68 23 .338 .3451
DallasKeuchel HOU 284 231 77 .333 .3472
JoeKelly BOS 96 74 27 .365 .3542
ChaseWhitley TBR 96 75 26 .347 .3574
MikeMinor KCR 109 86 32 .372 .3666
AnthonySwarzak CHW 97 76 28 .368 .3759
AlexColome TBR 103 80 30 .375 .3866
BryanShaw CLE 105 80 35 .438 .4147
AdamWarren NYY 114 89 38 .427 .4186
RyanTepera TOR 131 95 41 .432 .4252
YusmeiroPetit LAA 139 106 45 .425 .4288
JamesPaxton SEA 169 131 56 .427 .4318
NickVincent SEA 91 71 31 .437 .4410
RobertoOsuna TOR 89 69 31 .449 .4426
DarrenO'Day BAL 94 67 30 .448 .4455
JasonVargas KCR 278 210 95 .452 .4457
ChrisSale BOS 330 252 117 .464 .4508
BrandonKintzler MIN 100 73 33 .452 .4521
BradBrach BAL 95 74 34 .459 .4572
AlexWilson DET 103 79 36 .456 .4580
JoseBerrios MIN 128 98 45 .459 .4592
JoeSmith TOR 112 82 39 .476 .4686
JoeBiagini TOR 202 149 71 .477 .4695
WillHarris HOU 96 73 33 .452 .4709
CarlosCarrasco CLE 275 209 105 .502 .4762
ShaneGreene DET 112 80 38 .475 .4774
ChrisDevenski HOU 136 102 47 .461 .4800
BudNorris LAA 115 84 40 .476 .4810
MichaelFulmer DET 306 227 109 .480 .4826
DavidRobertson CHW 82 61 29 .475 .4851
BlakeParker LAA 108 79 38 .481 .4859
ZachMcAllister CLE 97 70 36 .514 .4875
ErvinSantana MIN 314 238 119 .500 .5000
TylerDuffey MIN 116 84 42 .500 .5000
AlexClaudio TEX 98 76 39 .513 .5006
KeoneKela TEX 87 64 33 .516 .5030
MattBush TEX 82 60 31 .517 .5041
DannyBarnes TOR 103 76 39 .513 .5056
ColeHamels TEX 132 98 51 .520 .5077
RyanMadson OAK 94 67 33 .493 .5078
LuisSeverino NYY 278 206 108 .524 .5140
BradPeacock HOU 127 93 46 .495 .5152
CraigBreslow MIN 83 59 31 .525 .5254
JoakimSoria KCR 106 73 39 .534 .5264
SeanManaea OAK 227 165 85 .515 .5311
JustinWilson DET 90 70 37 .529 .5312
LanceMcCullers HOU 290 213 109 .512 .5331
TylerClippard NYY 99 73 40 .548 .5372
ChrisBeck CHW 84 64 34 .531 .5421
DylanBundy BAL 309 229 125 .546 .5431
MarcusStroman TOR 314 222 123 .554 .5459
AaronLoup TOR 96 66 37 .561 .5523
JoseAlvarez LAA 84 64 35 .547 .5524
MikeClevinger CLE 118 85 50 .588 .5576
JordanMontgomery NYY 239 170 97 .571 .5594
KenGiles HOU 93 67 36 .537 .5597
DanOtero CLE 97 70 42 .600 .5687
JesseHahn OAK 220 155 86 .555 .5720
MattBarnes BOS 103 74 44 .595 .5773
LiamHendriks OAK 109 78 44 .564 .5815
ErasmoRamirez TBR 174 131 74 .565 .5824
ChrisArcher TBR 331 240 136 .567 .5842
TylerSkaggs LAA 122 87 51 .586 .5921
TaylorRogers MIN 82 57 34 .596 .5965
JonathanHolder NYY 99 69 42 .609 .5968
ArielMiranda SEA 282 204 121 .593 .5991
MikePelfrey CHW 172 122 72 .590 .6022
WadeMiley BAL 263 181 110 .608 .6047
MattStrahm KCR 85 60 37 .617 .6076
AndrewCashner TEX 255 175 109 .623 .6077
DannyDuffy KCR 290 202 125 .619 .6097
EduardoRodriguez BOS 251 180 114 .633 .6149
MychalGivens BAL 120 84 52 .619 .6160
YuDarvish TEX 317 226 143 .633 .6173
AlecAsher BAL 153 112 70 .625 .6219
JoshTomlin CLE 264 188 124 .660 .6252
AaronSanchez TOR 105 74 47 .635 .6257
CCSabathia NYY 274 189 121 .640 .6277
HeathHembree BOS 126 85 55 .647 .6282
J.C.Ramirez LAA 271 195 122 .626 .6320
AndrewTriggs OAK 276 190 117 .616 .6348
CoreyKluber CLE 187 129 87 .674 .6393
SonnyGray OAK 178 127 79 .622 .6413
MichaelPineda NYY 273 196 130 .663 .6503
KendallGraveman OAK 197 141 89 .631 .6507
DannyFarquhar TBR 117 79 50 .633 .6525
MarcoEstrada TOR 306 217 144 .664 .6538
MichaelFeliz HOU 104 78 49 .628 .6544
JamesPazos SEA 111 77 50 .649 .6559
IanKennedy KCR 218 153 102 .667 .6568
PeterMoylan KCR 86 57 38 .667 .6568
CodyAllen CLE 98 64 45 .703 .6665
DrewPomeranz BOS 228 157 109 .694 .6740
JesseChavez LAA 278 197 133 .675 .6819
HisashiIwakuma SEA 131 94 64 .681 .6877
MartinPerez TEX 297 200 141 .705 .6878
DominicLeone TOR 103 75 53 .707 .6962
JakeOdorizzi TBR 214 155 105 .677 .6984
NateKarns KCR 195 135 96
nate <greystone@net1plus.com>: Jun 06 11:12AM -0700

View in fixed font!
Raw data from Baseball-Reference.com
In all of the following, a plus sign {'+') following the 3-letter
team name means current team, but total season numbers.
 
HITTING
Ev = Events = PA + SB + CS
OC = Outs Created = AB-H + CS + SF + SH + GIDP + OoB
BP = Bases Produced = TB+BB+SB+SF+SH-CS-GIDP+HBP+CI+XBT
AdjOPS = BP/ ( OC or 1, whichever is more )
PfAdjOPS = AdjOPS corrected for Park Factor
 
NL hitting Ev OC BP AdjOPS PfAdjOPS
FreddieFreeman ATL 172 94 134 1.426 1.4184
BryceHarper WSN 220 125 157 1.256 1.2560
MichaelConforto NYM 206 120 148 1.233 1.2521
ZackCozart CIN 219 125 152 1.216 1.2040
RyanZimmerman WSN 219 135 157 1.163 1.1630
EricThames MIL 220 130 151 1.162 1.1500
PaulGoldschmidt ARI 269 152 176 1.158 1.1134
ChrisTaylor LAD 159 92 98 1.065 1.0870
JoeyVotto CIN 251 148 158 1.068 1.0570
TylerFlowers ATL 143 79 83 1.051 1.0454
JustinTurner LAD 164 92 92 1.000 1.0204
BusterPosey SFG 202 117 117 1.000 1.0204
KrisBryant CHC 249 152 153 1.007 1.0116
JustinBour MIA 215 138 135 .978 1.0085
AdamEaton WSN 111 66 66 1.000 1.0000
LucasDuda NYM 140 90 88 .978 .9927
CodyBellinger LAD 165 109 105 .963 .9830
AnthonyRendon WSN 229 142 138 .972 .9718
MarcellOzuna MIA 241 153 143 .935 .9635
CharlieBlackmon COL 270 171 177 1.035 .9584
AaronAltherr PHI 184 117 110 .940 .9545
TommyPham STL 111 71 66 .930 .9437
GiancarloStanton MIA 236 153 140 .915 .9433
JakeLamb ARI 247 159 152 .956 .9192
DanielMurphy WSN 228 146 134 .918 .9178
CoreySeager LAD 247 154 138 .896 .9144
JeddGyorko STL 184 119 104 .874 .8873
DomingoSantana MIL 217 139 123 .885 .8761
EnriqueHernandez LAD 140 95 80 .842 .8593
AnthonyRizzo CHC 256 163 139 .853 .8570
BrandonBelt SFG 250 159 133 .836 .8535
ScottSchebler CIN 211 144 124 .861 .8526
AdamDuvall CIN 239 160 137 .856 .8478
RyanBraun MIL 122 80 68 .850 .8416
JoshHarrison PIT 242 153 128 .837 .8408
EugenioSuarez CIN 230 149 126 .846 .8373
MattKemp ATL 203 137 114 .832 .8280
TravisShaw MIL 223 148 123 .831 .8229
WilmerFlores NYM 120 79 64 .810 .8225
JaysonWerth WSN 203 129 106 .822 .8217
JesusAguilar MIL 118 81 67 .827 .8190
MarkReynolds COL 226 144 127 .882 .8166
NolanArenado COL 254 172 151 .878 .8129
J.T.Realmuto MIA 199 127 100 .787 .8118
MattCarpenter STL 221 144 115 .799 .8108
KoltenWong STL 161 101 80 .792 .8041
MattAdams ATL+ 115 80 63 .787 .7909
EnderInciarte ATL 273 172 135 .785 .7810
GregoryPolanco PIT 169 107 83 .776 .7796
ChrisOwings ARI 228 145 117 .807 .7759
ChaseUtley LAD 149 95 72 .758 .7734
RyanSchimpf SDP 193 137 104 .759 .7707
ChristianYelich MIA 243 162 120 .741 .7637
DexterFowler STL 219 149 112 .752 .7631
DavidFreese PIT 147 98 74 .755 .7589
NeilWalker NYM 230 156 116 .744 .7549
JayBruce NYM 233 166 123 .741 .7522
CesarHernandez PHI 252 165 121 .733 .7445
AdamFrazier PIT 156 100 74 .740 .7437
WilMyers SDP 251 179 130 .726 .7373
JavierBaez CHC 167 120 88 .733 .7370
MichaelTaylor WSN 159 109 80 .734 .7339
StephenPiscotty STL 149 93 67 .720 .7314
DavidPeralta ARI 200 131 98 .748 .7193
A.J.Pollock ARI 176 114 85 .746 .7169
TrevorStory COL 176 123 94 .764 .7076
AndrewMcCutchen PIT 236 165 116 .703 .7066
BenZobrist CHC 189 131 92 .702 .7058
FranciscoCervelli PIT 176 117 82 .701 .7044
HunterRenfroe SDP 226 160 111 .694 .7043
KeonBroxton MIL 212 143 101 .706 .6993
JettBandy MIL 125 88 62 .705 .6976
DeeGordon MIA 260 170 114 .671 .6913
CameronRupp PHI 140 96 65 .677 .6874
BillyHamilton CIN 275 175 121 .691 .6846
FreddyGalvis PHI 218 153 103 .673 .6835
EduardoNunez SFG 238 160 107 .669 .6824
MattWieters WSN 179 119 81 .681 .6807
YasmaniGrandal LAD 192 135 90 .667 .6803
BrandonCrawford SFG 176 124 82 .661 .6748
JohnJaso PIT 133 91 61 .670 .6737
YasmanyTomas ARI 180 130 91 .700 .6731
TommyJoseph PHI 191 141 92 .652 .6624
JoshBell PIT 215 155 102 .658 .6614
TreaTurner WSN 228 156 103 .660 .6603
GerardoParra COL 159 108 77 .713 .6602
HernanPerez MIL 194 141 93 .660 .6530
WillsonContreras CHC 170 119 77 .647 .6503
JoePanik SFG 224 154 98 .636 .6494
NickAhmed ARI 138 98 66 .673 .6476
AustinHedges SDP 183 137 87 .635 .6447
YasielPuig LAD 229 159 100 .629 .6418
YangervisSolarte SDP 233 160 101 .631 .6409
YadierMolina STL 214 150 94 .627 .6362
NickMarkakis ATL 238 160 101 .631 .6281
JasonHeyward CHC 172 120 75 .625 .6281
ManuelMargot SDP 210 144 89 .618 .6275
BrandonDrury ARI 197 137 89 .650 .6246
KyleSchwarber CHC 218 156 96 .615 .6185
DenardSpan SFG 150 105 63 .600 .6122
AledmysDiaz STL 227 162 97 .599 .6079
RandalGrichuk STL 187 134 80 .597 .6061
JosePeraza CIN 236 159 97 .610 .6040
AddisonRussell CHC 201 142 85 .599 .6016
TuckerBarnhart CIN 140 99 60 .606 .6001
JordyMercer PIT 223 153 91 .595 .5978
CarlosGonzalez COL 225 155 100 .645 .5974
CurtisGranderson NYM 208 152 89 .586 .5944
BrandonPhillips ATL 197 133 79 .594 .5910
DJLeMahieu COL 261 172 109 .634 .5868
OdubelHerrera PHI 226 163 94 .577 .5855
MichaelSaunders PHI 192 143 82 .573 .5822
AsdrubalCabrera NYM 173 121 69 .570 .5789
DerekDietrich MIA 161 115 64 .557 .5737
JoseReyes NYM 217 154 87 .565 .5735
JonathanVillar MIL 254 178 102 .573 .5674
ErickAybar SDP 182 131 70 .534 .5425
AdrianGonzalez LAD 167 119 63 .529 .5402
HunterPence SFG 155 114 60 .526 .5371
OrlandoArcia MIL 199 144 78 .542 .5363
DansbySwanson ATL 219 158 85 .538 .5353
AdonisGarcia ATL 163 118 63 .534 .5312
MaikelFranco PHI 211 163 84 .515 .5232
IanDesmond COL 140 104 57 .548 .5075
Bases Produced to qualify: 56.67
 
PITCHING
Ev = Events = Batters Faced + Steal Attempts
OI = Outs Induced = AB-H + CS + SF + SH + GIDP
BG = Bases Given = TB+BB+SB+SF+SH-CS-GIDP+HBP + (BK+WP-IBB)
AdjOPS = BG/ ( OI or 1, whichever is more )
PfAdjOPS = AdjOPS corrected for Park Factor
 
NL pitching Ev OI BG AdjOPS PfAdjOPS
GregHolland COL 79 65 20 .308 .2849
WadeDavis CHC 78 63 21 .333 .3350
PatNeshek PHI 79 63 21 .333 .3384
FelipeRivero PIT 112 89 30 .337 .3388
RaiselIglesias CIN 114 88 31 .352 .3488
AlexWood LAD 194 147 53 .361 .3679
AndrewChafin ARI 82 62 24 .387 .3722
CarlEdwards CHC 81 64 24 .375 .3769
ChrisRusin COL 114 87 36 .414 .3831
JakeMcGee COL 89 69 30 .435 .4026
KenleyJansen LAD 91 70 28 .400 .4082
ZackGodley ARI 146 112 48 .429 .4121
JoseRamirez ATL 90 70 29 .414 .4122
MattAlbers WSN 86 67 28 .418 .4179
TrevorRosenthal STL 84 65 27 .415 .4217
JacobBarnes MIL 119 92 41 .446 .4412
JimJohnson ATL 100 74 33 .446 .4437
JerryBlevins NYM 78 57 25 .439 .4453
JoaquinBenoit PHI 88 66 29 .439 .4461
JeffHoffman COL 77 62 30 .484 .4480
ArchieBradley ARI 100 77 36 .468 .4496
JoshFields LAD 92 72 32 .444 .4535
PedroBaez LAD 101 74 33 .446 .4550
WadeLeBlanc PIT 134 101 47 .465 .4677
RossStripling LAD 132 100 46 .460 .4694
MikeMontgomery CHC 150 108 51 .472 .4746
JuanNicasio PIT 102 74 35 .473 .4753
KojiUehara CHC 78 59 28 .475 .4770
BradHand SDP 129 96 46 .479 .4865
DrewStoren CIN 106 73 36 .493 .4883
NoahSyndergaard NYM 117 85 41 .482 .4897
ZackGreinke ARI 314 239 123 .515 .4949
ClaytonKershaw LAD 321 251 122 .486 .4960
MaxScherzer WSN 301 231 115 .498 .4978
StephenStrasburg WSN 304 226 113 .500 .5000
RobbieRay ARI 282 207 110 .531 .5110
IvanNova PIT 310 232 118 .509 .5112
CoreyKnebel MIL 121 83 43 .518 .5129
BrandonMaurer SDP 99 73 37 .507 .5146
DavidPhelps MIA 118 86 43 .500 .5155
CarlosMartinez STL 326 242 124 .512 .5202
NickWittgren MIA 88 65 33 .508 .5234
JoshEdgin NYM 100 71 37 .521 .5291
BrandonMcCarthy LAD 213 152 79 .520 .5303
MatthewBowman STL 107 80 42 .525 .5330
LuisGarcia PHI 79 59 31 .525 .5334
PedroStrop CHC 83 62 33 .532 .5349
WandyPeralta CIN 95 72 39 .542 .5363
MikeLeake STL 297 225 119 .529 .5369
ArodysVizcaino ATL 98 74 40 .541 .5379
TyBlach SFG 237 176 93 .528 .5392
RandallDelgado ARI 176 129 74 .574 .5516
TannerRoark WSN 310 219 121 .553 .5525
MichaelLorenzen CIN 133 96 54 .562 .5569
HectorNeris PHI 107 78 43 .551 .5597
HunterStrickland SFG 88 60 33 .550 .5612
AntonioSenzatela COL 276 200 123 .615 .5694
AdamOttavino COL 96 63 39 .619 .5732
JaimeGarcia ATL 269 191 112 .586 .5835
MadisonBumgarner SFG 115 82 47 .573 .5849
ShelbyMiller ARI 100 69 42 .609 .5853
LanceLynn STL 265 193 112 .580 .5891
ZackWheeler NYM 239 167 98 .587 .5958
DanStraily MIA 279 204 118 .578 .5963
JimmyNelson MIL 276 194 118 .608 .6022
TrevorCahill SDP 181 126 75 .595 .6043
Wei-YinChen MIA 112 80 47 .588 .6057
KyleFreeland COL 282 191 125 .654 .6060
TylerChatwood COL 303 213 140 .657 .6086
DustinMcGowan MIA 126 88 52 .591 .6092
BradZiegler MIA 109 71 42 .592 .6098
JuniorGuerra MIL 83 58 36 .621 .6145
KyleHendricks CHC 261 183 113 .617 .6206
TaijuanWalker ARI 227 158 102 .646 .6207
JulioUrias LAD 105 72 44 .611 .6236
JonLester CHC 312 214 133 .621 .6246
GioGonzalez WSN 319 224 140 .625 .6250
TonyWatson PIT 113 77 48 .623 .6265
TimAdleman CIN 192 137 87 .635 .6287
TrevorWilliams PIT 188 131 83 .634 .6368
JeffSamardzija SFG 331 239 150 .628 .6404
Seung-hwanOh STL 116 79 50 .633 .6425
IanKrol ATL 99 68 44 .647 .6438
AdamWainwright STL 272 186 118 .634 .6441
CoryGearrin SFG 101 66 42 .636 .6494
JamesonTaillon PIT 151 105 68 .648 .6509
NeftaliFeliz MIL 104 76 50 .658 .6514
PaulSewald NYM 94 65 42 .646 .6560
ScottOberg COL 102 67 48 .716 .6633
ChaseAnderson MIL 264 185 124 .670 .6636
MarkLeiter PHI 85 58 38 .655 .6651
MikeFoltynewicz ATL 254 178 119 .669 .6652
GeorgeKontos SFG 111 78 51 .654 .6672
JacobdeGrom NYM 295 203 134 .660 .6702
JoseTorres SDP 117 83 55 .663 .6727
ClaytonRichard SDP 326 224 149 .665 .6753
A.J.Ramos MIA 84 58 38 .655 .6754
EdinsonVolquez MIA 270 183 120 .656 .6760
LuisPerdomo SDP 222 151 101 .669 .6791
EddieButler CHC 106 71 48 .676 .6795
AddisonReed NYM 122 88 59 .670 .6807
FernandoSalas NYM 122 82 55 .671 .6809
BrianDuensing CHC 100 69 47 .681 .6846
MattGarza MIL 191 133 92 .692 .6849
ScottFeldman CIN 289 196 136 .694 .6870
JohnnyCueto SFG 321 227 153 .674 .6878
AaronNola PHI 144 94 64 .681 .6912
BlakeWood CIN 125 82 58 .707 .7003
JordanLyles COL 113 78 59 .756 .7004
GermanMarquez COL 203 137 104 .759 .7029
OliverDrake MIL+ 110 73 52 .712 .7059
JorgeDeLaRosa ARI 96 64 47 .734 .7061
ChrisHatcher LAD 124 88 61
nate <greystone@net1plus.com>: Jun 06 11:09AM -0700

View in fixed font! In GoogleGroups this is the pulldown menu, original post.
Question is whether this NEW plot looks better...
Raw data from Baseball-Reference.com
 
HITTING
Rpf = rank after adjusting for Park Factor (AdjAdjOPS)
Rk = raw ADJOPS rank
TEv = Team Events = PA + SB + CS
TOC = Team Outs Created = AB-H + CS + SF + SH + GIDP + OoB - ROE
TBP = Team Bases Produced = TB+BB+SB+SF+SH-CS-GIDP+HBP+CI -OoB +XBT + ROE
TAdjOPS = TBP/TOC
OrdOPS = ordinary OBP + SLG
PkF = Park Factor
AdjAdjOPS = AdjOPS*(200/(PkF+100))
 
Rpf Rk team TEv TOC TBP TAdjOPS OrdOPS PkF AdjAdjOPS
1 3 HOU 2287 1540 1200 .779221 .816 92 .811689
2 1 WSN 2259 1497 1215 .811623 .823 100 .811623
3 4 CIN 2268 1518 1174 .773386 .777 102 .765729
4 2 NYY 2177 1450 1130 .779310 .794 104 .764029
5 7 TBR 2334 1601 1160 .724547 .756 94 .746956
6 6 MIL 2289 1555 1139 .732476 .759 102 .725224
7 9 DET 2175 1486 1065 .716689 .761 99 .720290
8 8 MIN 2104 1424 1024 .719101 .750 100 .719101
9 13 LAD 2294 1582 1106 .699115 .749 96 .713383
10 15 MIA 2178 1507 1041 .690776 .745 94 .712140
11 12 NYM 2162 1507 1057 .701393 .744 97 .712074
12 5 ARI 2317 1571 1163 .740293 .761 108 .711820
13 11 CHC 2202 1517 1072 .706658 .730 99 .710209
14 20 OAK 2128 1506 1017 .675299 .732 94 .696185
15 17 SEA 2275 1553 1065 .685769 .744 98 .692696
16 18 ATL 2183 1504 1025 .681516 .747 101 .678125
17 19 BAL 2123 1486 1010 .679677 .732 101 .676296
18 16 BOS 2190 1494 1026 .686747 .751 106 .666745
19 23 STL 2168 1514 991 .654557 .722 97 .664525
20 25 CHW 2100 1476 955 .647019 .720 96 .660223
21 10 COL 2268 1574 1121 .712198 .764 116 .659443
22 14 CLE 2110 1458 1014 .695473 .743 111 .659216
23 26 PHI 2090 1482 956 .645074 .719 97 .654897
24 24 PIT 2233 1549 1007 .650097 .704 99 .653364
25 21 TEX 2193 1535 1022 .665798 .721 105 .649559
26 27 LAA 2325 1623 1042 .642021 .699 98 .648506
27 22 TOR 2212 1565 1030 .658147 .727 103 .648421
28 28 SDP 2151 1554 936 .602317 .658 97 .611489
29 30 SFG 2265 1624 944 .581281 .648 96 .593144
30 29 KCR 2092 1510 888 .588079 .669 103 .579388
totals: 66152 45762 31595 .690420
 
PITCHING (inc. WP + BK - IBB) + Field Allowed Runners (IBB + ROE)
Rpf = rank after adjusting for Park Factor (AdjAdjOPS)
Rk = raw ADJOPS rank
TEv = Team Events = Batters Faced + Steal Attempts
TOI = Team Outs Induced = 3*IP
TBG = Team Bases Given = TB+BB+SB+SF+SH-CS-GIDP+HBP + (WP+BK-IBB) + (IBB+ROE)
TAdjOPS = TBG/TOI
OrdOPS = ordinary OBP + SLG
PkF = Park Factor
AdjAdjOPS = TAdjOPS*(200/(PkF+100))
 
Rpf Rk team TEv TOI TBG TAdjOPS OrdOPS PkF AdjAdjOPS
1 2 CLE 2032 1454 904 .621733 .700 111 .589320
2 1 LAD 2199 1587 931 .586641 .656 96 .598613
3 3 NYY 2059 1452 911 .627410 .678 104 .615108
4 4 ARI 2247 1581 1019 .644529 .692 108 .619739
5 9 COL 2264 1588 1063 .669395 .730 116 .619810
6 5 BOS 2119 1496 966 .645722 .719 106 .626915
7 6 STL 2155 1511 976 .645930 .704 97 .655766
8 8 LAA 2266 1608 1053 .654851 .730 98 .661466
9 12 KCR 2182 1504 1014 .674202 .737 103 .664238
10 10 WSN 2165 1508 1013 .671751 .732 100 .671751
11 7 HOU 2220 1576 1018 .645939 .688 92 .672853
12 15 TOR 2285 1567 1093 .697511 .740 103 .687203
13 11 TBR 2281 1589 1070 .673379 .718 94 .694205
14 14 CHC 2198 1518 1051 .692358 .725 99 .695837
15 13 SFG 2317 1597 1094 .685034 .738 96 .699014
16 24 TEX 2212 1517 1100 .725115 .768 105 .707429
17 23 MIL 2298 1576 1134 .719543 .769 102 .712419
18 18 PIT 2262 1537 1090 .709174 .761 99 .712738
19 16 CHW 2082 1449 1014 .699793 .744 96 .714074
20 22 BAL 2205 1487 1069 .718897 .774 101 .715320
21 21 MIN 2100 1437 1033 .718859 .768 100 .718859
22 19 SEA 2233 1545 1104 .714563 .755 98 .721781
23 17 MIA 2195 1494 1046 .700134 .731 94 .721788
24 27 ATL 2183 1478 1096 .741543 .775 101 .737854
25 20 OAK 2226 1497 1072 .716099 .724 94 .738246
26 25 SDP 2277 1537 1120 .728692 .754 97 .739789
27 26 DET 2205 1478 1095 .740866 .778 99 .744589
28 28 CIN 2237 1516 1158 .763852 .793 102 .756289
29 29 PHI 2161 1460 1123 .769178 .803 97 .780891
30 30 NYM 2287 1512 1166 .771164 .789 97 .782908
totals: 66152 45656 31596 .692045
hitting: 66152 45762 31595 .690420

Plot of Wins per Game, Y, vs. Share of All Bases per Out, X

.42 .46 .5 .54 .58
+-----------------+-----------------+-----------------+-----------------+
| | | | |
| | | | |
| | | | * |
| | | | |
.7 +-----------------+-----------------+-----------------+-----------------+
| | | | |
| | | | |
| | | | |
| | | | |
+-----------------+-----------------+-----------------+-----------------+
| | | | * |
| | | | |
| | | | |
| | | * | |
.6 +-----------------+-----------------+-----------------+-----------------+
| | | | * * |
| | | * | |
| | | | |
| | | | |
+-----------------+-----------------*------*----------+-----------------+
| | | | |
| | * | * | |
| | | 2 | |
| | | | |
.5 +-----------------+-------------*---+-----------------+-----------------+
| | | * | |
| | * * * | | |
| | |* | |
| | 2 |* | |
+-----------------+-----------------+-----------------+-----------------+
| | * 2 * | | |
| | * * | | |
| | | | |
| * | | |
.4 +--------------*--+-----------------+-----------------+-----------------+
| | | | |
| | | | |
| | | | |
| * | | | |
+-----------------+-----------------+-----------------+-----------------+
| | | | |
| | | | |
| | | | |
| | | | |
.3 +-----------------+-----------------+-----------------+-----------------+
.42 .46 .5 .54 .58
 
fit of plotted data above:
total data points = 30
equation is Y = 2.53698*X + -0.766717
R-squared = 0.778210 significance = 9.911885

fit to Adjusted OPS including Field Allowed Runners with no park factors
total data points = 30
equation is W/(W+L) = 0.927192*AdjOPSdiff/1 + 0.501193
R-squared = 0.787306 significance = 10.180606

fit to Adjusted OPS including Field Allowed Runners with park factors
total data points = 30
equation is W/(W+L) = 0.928117*AdjOPSdiff/ParkFactor + 0.50157
R-squared = 0.793622 significance = 10.376564

fit of ordinary OPS share (X) vs. Win share (Y)
total data points = 30
equation is Y = 3.37951*X + -1.18953
R-squared = 0.719174 significance = 8.467932

fit to ordinary OPS with no park factors
total data points = 30
equation is W/(W+L) = 1.16137*ordinaryOPSdiff/1 + 0.500013
R-squared = 0.728962 significance = 8.677941

fit to ordinary OPS with park factors
total data points = 30
equation is W/(W+L) = 1.15633*ordinaryOPSdiff/ParkFactor + 0.500198
R-squared = 0.731861 significance = 8.742051

fit to share of batting average
total data points = 30
equation is Y = 2.82867*X + -0.914363
R-squared = 0.555930 significance = 5.920563

fit to share of on base average
total data points = 30
equation is Y = 3.20719*X + -1.10394
R-squared = 0.618007 significance = 6.730518

fit to share of slugging average
total data points = 30
equation is Y = 2.7873*X + -0.89327
R-squared = 0.633509 significance = 6.957034
 
 
- nate
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