MLB IBL Inj Inj w/Inj w/Inj Need
MLB Name PA PA Days PA 75% 100% 133% 150% Track Track PA/gm
ATL Acuna 222 39 9 18 110 183 257 294 54% 79% 1.0
CHA Julks 189 48 0 0 94 141 204 235 79% 79% 0.9
CHN Bellinger 569 214 0 0 213 355 544 639 117% 117% 1.9
CIN Benson 388 25 0 0 266 363 492 557 20% 20% 2.4
CIN France 535 106 0 0 296 429 607 696 61% 61% 2.7
CLE Gonzalez [UC25] 0 0 0 0 0 0 0 0 100% 100% --
CLE Noel 198 108 0 0 41 90 156 189 169% 169% 0.4
HOU Pena 650 225 0 0 263 425 641 750 107% 107% 2.4
LAN Edman 153 0 0 0 115 153 204 229 0% 0% 1.0
LAN HernandezE. 393 133 0 0 162 260 391 456 105% 105% 1.5
MIA Brujan 278 88 0 0 121 190 282 329 98% 98% 1.1
NYA Trevino 234 98 0 0 78 136 214 253 130% 130% 0.7
NYN Mauricio [UC25] 0 0 0 0 0 0 0 0 100% 100% --
OAK Schuemann 459 87 0 0 258 372 525 601 59% 59% 2.3
PIT McCutchen 515 170 0 0 217 345 516 602 102% 102% 2.0
PIT Taylor 300 47 0 0 178 253 353 403 48% 48% 1.6
PIT Tellez 421 108 0 0 208 313 453 523 79% 79% 1.9
PIT Triolo 446 115 2 6 214 331 479 554 80% 84% 1.9
STL Contreras 358 129 0 0 140 229 348 408 112% 112% 1.3
MLB IBL Inj Inj w/Inj w/Inj Need
MLB Name BF BF Days BF 75% 100% 133% 150% Track Track BF/gm
ARI Thompson 272 66 0 0 138 206 296 342 75% 75% 1.3
BOS Weissert 263 75 0 0 123 188 275 319 88% 88% 1.1
CLE Lively 632 112 20 80 282 520 730 836 55% 94% 2.6
CLE McKenzie 340 88 0 0 167 252 365 422 80% 80% 1.5
DET Foley 250 80 0 0 108 170 253 295 99% 99% 1.0
KC Schreiber 224 64 0 0 104 160 234 272 89% 89% 0.9
LAN Miller 258 36 0 0 158 222 308 351 43% 43% 1.4
MIL Williams 88 13 0 0 53 75 104 119 46% 46% 0.5
NYA Effross [UC25] 0 0 0 0 0 0 0 0 100% 100% --
NYA Gil 637 273 0 0 205 364 576 682 133% 133% 1.9
NYA Kahnle 179 47 29 58 30 132 191 221 81% 182% 0.3
NYN Quintana 717 181 0 0 357 536 775 894 78% 78% 3.2
NYN Severino 761 168 0 0 403 593 846 973 68% 68% 3.7
OAK Estes 543 0 0 0 408 543 724 814 0% 0% 3.7
PHI Hoffman 265 57 0 0 142 208 296 340 67% 67% 1.3
PHI Sanchez 754 329 0 0 237 425 676 802 135% 135% 2.2
PHI Wheeler 787 338 0 0 253 449 711 842 133% 133% 2.3
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