Jose Rosario

Pos2B
B/TR/R
Born1991-11-29
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201523AAA/AA2 orgs373.248/.277/.32821249—.237/.260/.302
201624AAA/AA2 orgs269.275/.297/.3804466—.254/.271/.339
201725AABOS55.140/.189/.16000-20—.137/.170/.157
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
200917 ROKDSL Yankees 1 — 9075 19400 14230 33 253371307677 53365 2616 316 30 — — — — — —
201018 ROKGCL Yankees — 125110 27412 8225 60 245325355680 109284 186 306 40 — — — — — —
201119 ACharleston RiverDogs — 2321 3100 141 20 143217190408 48176 174 197 -7 — — — — — —
201119 ROKGCL Yankees — 185172 57656 6285 114 331372529901 198370 153 391 76 — — — — — —
201321 ACharleston RiverDogs — 139114 21503 11234 51 184279307586 123202 178 252 39 — — — — — —
201422 A+Tampa Yankees — 216197 63740 15253 16 320377396773 76366 127 348 77 — — — — — —
201422 ACharleston RiverDogs — 9786 25602 5125 32 291365430795 140319 125 355 87 — — — — — —
201422 ROKGCL Yankees1 — 2220 6021 121 10 3003646501.014 350294 95 430 91 — — — — — —
201422 INTLLeones del Escogido — 3127 7200 420 10 259355333688 74280 613 319 102 — — — — — —
201523 AAAScranton/Wilkes-Barre RailRiders — 1817 4010 140 10 235278353631 118308 226 279 45 — — — — — —
201523 AATrenton Thunder — 355334 831622 8635 113 249277326603 78300 182 265 49 — — — — — —
201624 AAAScranton/Wilkes-Barre RailRiders — 9993 28412 3190 12 301323430753 129351 193 323 86 — — — — — —
201624 AATrenton Thunder — 170165 43712 2333 32 261282352634 91315 191 284 55 — — — — — —
201725 AAPortland Sea Dogs — 5550 7100 2131 01 140189160349 20189 244 161 -20 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200917 ROK MLEDSL Yankees 1 — 9079 12200 10280 33 152247177424 25248 3111 212 30 — — — — — —
201018 ROK MLEGCL Yankees — 125113 22312 5325 60 195260292552 97233 264 228 40 — — — — — —
201119 A MLECharleston RiverDogs — 2321 3100 151 20 143217190408 48164 224 158 -7 — — — — — —
201119 ROK MLEGCL Yankees — 185174 42434 4405 114 241279368647 126290 222 280 76 — — — — — —
201321 A MLECharleston RiverDogs — 139117 22503 8304 51 188264308571 120193 226 226 39 — — — — — —
201422 A+ MLETampa Yankees — 216201 52630 11373 16 259307318625 60321 175 282 77 — — — — — —
201422 A MLECharleston RiverDogs — 9788 23502 3165 32 261323386709 125294 163 297 87 — — — — — —
201422 ROK MLEGCL Yankees1 — 2220 4011 131 10 200273450723 250218 145 302 91 — — — — — —
201523 AAA MLEScranton/Wilkes-Barre RailRiders — 1817 4010 150 10 235278353631 118290 286 235 45 — — — — — —
201523 AA MLETrenton Thunder — 355337 801421 5815 113 237259300559 62299 231 241 49 — — — — — —
201624 AAA MLEScranton/Wilkes-Barre RailRiders — 9994 26312 2230 12 277292394685 117334 232 296 86 — — — — — —
201624 AA MLETrenton Thunder — 170166 40611 1403 32 241259307566 66310 241 250 55 — — — — — —
201725 AA MLEPortland Sea Dogs — 5551 7100 1161 01 137170157327 20182 292 139 -20 — — — — — —
200917 ROK MLEDSL Yankees 1 — 9079 12200 10280 33 152247177424 25235 3111 212 30 — — — — — —
200917 ROK RAWDSL Yankees 1 — 9075 19400 14230 33 253371307677 53365 2616 316 30 — — — — — —
201018 ROK MLEGCL Yankees — 125113 22312 5325 60 195260292552 97247 264 228 40 — — — — — —
201018 ROK RAWGCL Yankees — 125110 27412 8225 60 245325355680 109284 186 306 40 — — — — — —
201119 ROK MLE2 teams — 208196 45534 4466 134 230267347614 117281 222 267 67 — — — — — —
201119 ROK RAW2 teams — 208193 60756 7326 134 311354492847 181348 153 369 67 — — — — — —
201321 A MLECharleston RiverDogs — 139117 22503 8304 51 188264308571 120224 226 226 39 — — — — — —
201321 A RAWCharleston RiverDogs — 139114 21503 11234 51 184279307586 123202 178 252 39 — — — — — —
201422 A+ MLE4 teams — 366338 881253 17629 68 260313352665 92311 175 288 81 — — — — — —
201422 A+ RAW4 teams — 366330 1011563 25419 68 306371415786 109343 117 352 81 — — — — — —
201523 AA MLE2 teams — 373354 841431 6865 123 237260302563 65310 232 241 49 — — — — — —
201523 AA RAW2 teams — 373351 871632 9675 123 248277328604 80300 182 266 49 — — — — — —
201624 AA MLE2 teams — 269259 66923 4633 44 255274340614 85323 231 267 67 — — — — — —
201624 AA RAW2 teams — 269258 711124 5523 44 275297380677 105328 192 298 67 — — — — — —
201725 AA MLEPortland Sea Dogs — 5551 7100 1161 01 137170157327 20200 292 139 -20 — — — — — —
201725 AA RAWPortland Sea Dogs — 5550 7100 2131 01 140189160349 20189 244 161 -20 — — — — — —
200917 ROK MLEDSL Yankees 1 — 9080 12200 10280 33 150247175422 25248 3111 212 30 — — — — — —
201018 ROK MLEGCL Yankees — 125114 22312 5325 60 193260289550 96233 264 228 40 — — — — — —
201119 ROK MLE2 teams — 208196 45534 4466 134 230267347614 117276 222 267 67 — — — — — —
201321 A MLECharleston RiverDogs — 139126 22503 8304 51 175264286549 111193 226 226 39 — — — — — —
201422 A+ MLE4 teams — 366337 881253 17629 68 261313353666 92306 175 288 81 — — — — — —
201523 AA MLE2 teams — 373359 841431 6865 123 234260298558 64299 232 241 49 — — — — — —
201624 AA MLE2 teams — 269260 66923 4633 44 254274338613 85319 231 267 67 — — — — — —
201725 AA MLEPortland Sea Dogs — 5553 7100 1161 01 132170151321 19182 292 139 -20 — — — — — —
▸ Career Totals
Career— MLE — 16251507 346511416 5536333 4924 230272314586 84291 223 252 56 -84 +0 +0 +6 +35 -4.4
/ 162G— MLE — 650603 1382066 2214513 2010 229271312583 83291 223 252 56 -34 +0 +0 +2 +14 -1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAPortland Sea Dogs · 55 PAwOBA .157 → .139 (−18)K% 23.6% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.64%÷0.974×1.220——29.59%
BB% (unintentional) /PA3.64%÷1.067×0.700—×0.9882.36%
HBP% /PA1.82%—×0.850—×0.9881.53%
Singles /BIP16.22%÷0.984×0.970×1.016×0.98816.03%
Doubles /BIP2.70%÷1.085×0.860×1.016×0.9882.15%
Triples /BIP0.00%÷1.010×0.950×1.016×0.9880.00%
Home runs /BIP0.00%÷1.020×0.780—×0.9880.00%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 97, 2B 117, 3B 102, K 95, BB 114 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.

Result: wOBA .157 → .139; ISO .020 → .016; BABIP .189 → .182. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AATrenton Thunder · 170 PAwOBA .276 → .250 (−26)K% 19.4% → 23.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.41%÷0.997×1.220——23.76%
BB% (unintentional) /PA1.18%÷1.061×0.700—×0.9980.77%
HBP% /PA1.76%—×0.850—×0.9981.50%
Singles /BIP25.00%÷0.981×0.970×1.019×0.99825.14%
Doubles /BIP5.30%÷0.962×0.860×1.019×0.9984.82%
Triples /BIP0.76%÷1.039×0.950×1.019×0.9980.70%
Home runs /BIP1.52%÷1.015×0.780—×0.9981.16%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 96, 2B 92, 3B 108, K 99, BB 112 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .276 → .250; ISO .091 → .074; BABIP .315 → .310. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAAScranton/Wilkes-Barre RailRiders · 99 PAwOBA .321 → .296 (−24)K% 19.2% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.19%÷0.994×1.200——23.16%
BB% (unintentional) /PA3.03%÷0.977×0.690—×1.0332.21%
HBP% /PA0.00%—×0.940—×1.0330.00%
Singles /BIP28.38%÷0.991×0.930×1.004×1.03327.62%
Doubles /BIP5.41%÷1.059×0.830×1.004×1.0334.39%
Triples /BIP1.35%÷0.900×0.970×1.004×1.0331.51%
Home runs /BIP2.70%÷0.996×0.840—×1.0332.35%

Factors used: league row IL. Park (home-season share, regressed): HR 99, 1B 98, 2B 112, 3B 80, K 99, BB 95 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .321 → .296; ISO .129 → .115; BABIP .351 → .334. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AATrenton Thunder · 355 PAwOBA .259 → .241 (−18)K% 17.7% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.75%÷0.950×1.220——22.78%
BB% (unintentional) /PA2.25%÷1.067×0.700—×1.0121.50%
HBP% /PA1.41%—×0.850—×1.0121.21%
Singles /BIP23.25%÷0.977×0.970×1.022×1.01223.86%
Doubles /BIP5.90%÷0.978×0.860×1.022×1.0125.37%
Triples /BIP0.74%÷1.150×0.950×1.022×1.0120.63%
Home runs /BIP0.74%÷1.153×0.780—×1.0120.51%

Factors used: league row EL. Park (home-season share, regressed): HR 131, 1B 95, 2B 96, 3B 130, K 90, BB 114 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .259 → .241; ISO .078 → .065; BABIP .300 → .299. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 AAAScranton/Wilkes-Barre RailRiders · 18 PAwOBA .272 → .235 (−37)K% 22.2% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.22%÷0.991×1.200——26.92%
BB% (unintentional) /PA5.56%÷1.139×0.690—×1.0483.53%
HBP% /PA0.00%—×0.940—×1.0480.00%
Singles /BIP23.08%÷1.011×0.930—×1.04822.25%
Doubles /BIP0.00%÷0.903×0.830—×1.0480.00%
Triples /BIP7.69%÷1.150×0.970—×1.0486.80%
Home runs /BIP0.00%÷0.878×0.840—×1.0480.00%

Factors used: league row IL. Park (home-season share, regressed): HR 76, 1B 102, 2B 81, 3B 130, K 98, BB 128 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average).

Result: wOBA .272 → .235; ISO .118 → .100; BABIP .308 → .290. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 A+Tampa Yankees · 216 PAwOBA .339 → .282 (−57)K% 11.6% → 17.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.57%÷0.950×1.420——17.29%
BB% (unintentional) /PA6.94%÷0.978×0.750—×0.9985.31%
HBP% /PA1.39%—×0.930—×0.9981.29%
Singles /BIP30.23%÷1.019×0.920×0.967×0.99826.34%
Doubles /BIP4.07%÷1.003×0.960×0.967×0.9983.76%
Triples /BIP2.33%÷0.900×0.810×0.967×0.9982.02%
Home runs /BIP0.00%÷0.882×0.880—×0.9980.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 76, 1B 104, 2B 101, 3B 80, K 90, BB 96 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .339 → .282; ISO .076 → .065; BABIP .366 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 ACharleston RiverDogs · 97 PAwOBA .345 → .297 (−49)K% 12.4% → 17.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.37%÷0.975×1.340——17.00%
BB% (unintentional) /PA5.15%÷1.050×0.660—×0.9903.21%
HBP% /PA5.15%—×0.770—×0.9903.93%
Singles /BIP22.97%÷0.953×0.920×1.019×0.99022.38%
Doubles /BIP8.11%÷1.073×0.820×1.019×0.9906.25%
Triples /BIP0.00%÷0.991×0.940×1.019×0.9900.00%
Home runs /BIP2.70%÷0.883×0.820—×0.9902.48%

Factors used: league row SAL. Park (home-season share, regressed): HR 77, 1B 91, 2B 115, 3B 98, K 95, BB 110 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .345 → .297; ISO .140 → .117; BABIP .319 → .294. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 ROKGCL Yankees1 · 22 PAwOBA .418 → .302 (−116)K% 9.1% → 13.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA9.09%÷1.000×1.440——13.09%
BB% (unintentional) /PA4.55%÷1.000×0.620—×0.9652.72%
HBP% /PA4.55%—×0.720—×0.9653.16%
Singles /BIP16.67%÷1.000×0.820—×0.96513.19%
Doubles /BIP0.00%÷1.000×0.720—×0.9650.00%
Triples /BIP11.11%÷1.000×0.720—×0.9657.72%
Home runs /BIP5.56%÷1.000×0.780—×0.9654.18%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .418 → .302; ISO .350 → .249; BABIP .294 → .218. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .