- Posts: 594
- Joined: Fri Aug 24, 2012 11:21 am
Mon Oct 07, 2013 6:06 am
The 9.28M Pedro Martinez card is the best one in ATG, and has zero OBP chances vs LH batters.
I prefer to play this simulation by accumulating stats, playing nearly the same team each time, in the same park at the same salary cap, as a way to evaluate and judge which players are most suitable for those parameters.
I use the 9.28M Pedro in a 5-man rotation most of the time. I usually play in Forbes 65 at the $100M level with a few 80M teams as well. So as a result I have a good database to draw conclusions from.
I thought it would be interesting to share some of those results. If all the dice rolls vs LHB were on the pitchers card and the pitcher wasn't fatigued, I would expect zero hits, walks and homers. But that, of course, is not the case. About half of the dice rolls are off the hitters card, so from that - someone could deduce what the mean batting results from hitting in this game are, playing at the $100M salary cap with half of the games in Forbes 65 18-8 1-1. I have no idea what role the X rolls have on the results, but I do not have 1 defense players at every position, particularly SS and 2B.
BFP H BB SO HR OAVG
612 127 43 157 13 0.227
576 106 49 161 25 0.203
458 88 24 137 18 0.207
390 75 26 100 13 0.209
462 74 26 128 13 0.172
513 109 37 149 16 0.233
413 85 19 120 10 0.220
513 109 37 149 16 0.233
495 106 38 132 10 0.236
497 86 42 161 15 0.194
546 126 42 146 18 0.251
594 118 37 170 19 0.212
366 70 26 137 9 0.206
387 95 27 122 7 0.264
486 101 38 139 16 0.225
578 135 42 173 21 0.252
407 85 35 126 15 0.228
583 119 35 175 17 0.217
544 114 30 158 15 0.222
473 88 36 154 12 0.201
338 78 22 91 6 0.247
468 91 31 138 7 0.208
545 124 25 152 10 0.238
439 87 21 137 10 0.208
509 108 20 145 11 0.221
565 127 33 159 15 0.239
536 112 33 145 8 0.226
514 116 24 132 8 0.242
540 100 28 151 12 0.200
535 90 40 148 13 0.185
433 88 32 134 16 0.223
554 105 36 156 12 0.205
670 132 52 204 20 0.217
601 114 42 168 15 0.208
378 84 16 106 12 0.233
770 149 52 190 21 0.211
492 100 17 136 21 0.216
580 108 28 180 13 0.197
495 103 29 137 15 0.224
509 102 36 139 23 0.221
497 97 23 133 7 0.211
571 105 38 140 17 0.201
475 89 32 140 8 0.206
495 91 31 138 10 0.198
585 126 30 145 16 0.232
538 107 39 150 14 0.218
547 106 27 146 18 0.209
512 109 48 150 14 0.239
498 97 27 142 19 0.208
406 72 34 118 9 0.197
514 109 34 137 14 0.231
542 133 30 124 17 0.264
516 89 37 147 7 0.190
484 100 17 146 18 0.216
TOTAL (55 teams)
27544 5564 1753 7798 754 0.216
Opponent OBP = .266
K / BB ratio = 4.45
HR / TBP = 2.74%
I prefer to play this simulation by accumulating stats, playing nearly the same team each time, in the same park at the same salary cap, as a way to evaluate and judge which players are most suitable for those parameters.
I use the 9.28M Pedro in a 5-man rotation most of the time. I usually play in Forbes 65 at the $100M level with a few 80M teams as well. So as a result I have a good database to draw conclusions from.
I thought it would be interesting to share some of those results. If all the dice rolls vs LHB were on the pitchers card and the pitcher wasn't fatigued, I would expect zero hits, walks and homers. But that, of course, is not the case. About half of the dice rolls are off the hitters card, so from that - someone could deduce what the mean batting results from hitting in this game are, playing at the $100M salary cap with half of the games in Forbes 65 18-8 1-1. I have no idea what role the X rolls have on the results, but I do not have 1 defense players at every position, particularly SS and 2B.
BFP H BB SO HR OAVG
612 127 43 157 13 0.227
576 106 49 161 25 0.203
458 88 24 137 18 0.207
390 75 26 100 13 0.209
462 74 26 128 13 0.172
513 109 37 149 16 0.233
413 85 19 120 10 0.220
513 109 37 149 16 0.233
495 106 38 132 10 0.236
497 86 42 161 15 0.194
546 126 42 146 18 0.251
594 118 37 170 19 0.212
366 70 26 137 9 0.206
387 95 27 122 7 0.264
486 101 38 139 16 0.225
578 135 42 173 21 0.252
407 85 35 126 15 0.228
583 119 35 175 17 0.217
544 114 30 158 15 0.222
473 88 36 154 12 0.201
338 78 22 91 6 0.247
468 91 31 138 7 0.208
545 124 25 152 10 0.238
439 87 21 137 10 0.208
509 108 20 145 11 0.221
565 127 33 159 15 0.239
536 112 33 145 8 0.226
514 116 24 132 8 0.242
540 100 28 151 12 0.200
535 90 40 148 13 0.185
433 88 32 134 16 0.223
554 105 36 156 12 0.205
670 132 52 204 20 0.217
601 114 42 168 15 0.208
378 84 16 106 12 0.233
770 149 52 190 21 0.211
492 100 17 136 21 0.216
580 108 28 180 13 0.197
495 103 29 137 15 0.224
509 102 36 139 23 0.221
497 97 23 133 7 0.211
571 105 38 140 17 0.201
475 89 32 140 8 0.206
495 91 31 138 10 0.198
585 126 30 145 16 0.232
538 107 39 150 14 0.218
547 106 27 146 18 0.209
512 109 48 150 14 0.239
498 97 27 142 19 0.208
406 72 34 118 9 0.197
514 109 34 137 14 0.231
542 133 30 124 17 0.264
516 89 37 147 7 0.190
484 100 17 146 18 0.216
TOTAL (55 teams)
27544 5564 1753 7798 754 0.216
Opponent OBP = .266
K / BB ratio = 4.45
HR / TBP = 2.74%