Rainel Rosario

PosLF
B/TR/R
Born1989-03-29
Age (2027)38
No MLB projection yet. Career stats below are historical.
Overview
INTLLAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202132INTLYaquis de Obr…76.225/.276/.3382074—
202233INTLNavegantes de…158.333/.399/.55380168—
202334INTLAlgodoneros d…277.219/.315/.409112105—
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)
200617 ROKDSL Cardinals — 10387 19401 12263 32 218333299632 80295 2512 296 19 — — — — — —
200718 ROKGCL Cardinals — 5952 5110 6261 10 96203154357 58192 4410 179 -45 — — — — — —
200819 ROKGCL Cardinals — 201169 411225 26505 97 243360426786 183313 2513 352 44 — — — — — —
200920 ROKJohnson City Cardinals — 140125 341211 12353 35 272350408758 136371 259 341 48 — — — — — —
201021 AQuad Cities River Bandits — 168137 361137 26373 42 263392540932 277305 2215 402 104 — — — — — —
201122 A+Palm Beach Cardinals — 508455 1231969 401125 158 270336398734 127336 228 325 71 — — — — — —
201223 AASpringfield Cardinals — 6756 12201 11230 10 214343304647 89344 3416 305 45 — — — — — —
201223 A+Palm Beach Cardinals — 365329 701612 26843 43 213277286562 73272 237 254 27 — — — — — —
201627 AAPortland Sea Dogs — 354323 821522 25431 22 254309331641 77284 127 288 49 — — — — — —
201627 INTLAguilas Cibaenas — 1917 4001 220 00 235316412728 176214 1111 326 107 — — — — — —
201728 AAASaraperos de Saltillo — 468411 13619126 51743 96 331409572980 241350 1611 426 105 — — — — — —
201829 INTLTomateros de Culiacan — 11195 24415 15270 22 253355474828 221297 2414 363 132 — — — — — —
201930 AAASaraperos de Saltillo — 514448 14528226 62782 44 324408569977 246344 1512 425 101 — — — — — —
201930 INTLAguilas Cibaenas — 6158 12202 3200 10 207246345591 138278 335 263 64 — — — — — —
202031 INTLEstrellas Orientales — 3029 8102 0100 00 276276517793 241333 330 332 111 — — — — — —
202132 INTLYaquis de Obregon — 7671 16202 4201 02 225276338614 113286 265 278 74 — — — — — —
202233 INTLNavegantes del Magallanes — 158141 47708 14252 00 333399553952 220361 169 417 168 — — — — — —
202334 INTLAlgodoneros de Guasave — 277242 5313011 33781 20 219315409724 190273 2812 323 105 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200617 ROK MLEDSL Cardinals — 10391 13300 8323 32 143235176411 33203 318 197 19 — — — — — —
200718 ROK MLEGCL Cardinals — 5954 2000 4371 10 3711937156 153 637 101 -45 — — — — — —
200819 ROK MLEGCL Cardinals — 201179 29814 16725 97 162250285535 123233 368 233 44 — — — — — —
200920 ROK MLEJohnson City Cardinals — 140129 26811 8503 35 202264302567 101309 366 239 48 — — — — — —
201021 A MLEQuad Cities River Bandits — 168144 31835 19503 42 215319417736 201278 3011 322 104 — — — — — —
201122 A+ MLEPalm Beach Cardinals — 508464 1071748 311635 158 231286336622 106324 326 273 71 — — — — — —
201223 AA MLESpringfield Cardinals — 6759 11201 8270 10 186284271555 85313 4012 235 45 — — — — — —
201223 A+ MLEPalm Beach Cardinals — 365337 591412 181223 43 175223240464 65250 335 208 27 — — — — — —
201627 AA MLEPortland Sea Dogs — 354332 741321 16531 22 223261283544 60254 155 241 49 — — — — — —
201728 AAA MLESaraperos de Saltillo — 468428 11316117 34923 96 264323425748 161294 207 323 105 — — — — — —
201930 AAA MLESaraperos de Saltillo — 514468 11722117 42952 44 250314410725 160279 188 317 101 — — — — — —
200617 ROK MLEDSL Cardinals — 10391 13300 8323 32 143235176411 33217 318 197 19 — — — — — —
200617 ROK RAWDSL Cardinals — 10387 19401 12263 32 218333299632 80295 2512 296 19 — — — — — —
200718 ROK MLEGCL Cardinals — 5954 2000 4371 10 3711937156 118 637 101 -45 — — — — — —
200718 ROK RAWGCL Cardinals — 5952 5110 6261 10 96203154357 58192 4410 179 -45 — — — — — —
200819 ROK MLEGCL Cardinals — 201179 29814 16725 97 162250285535 123240 368 233 44 — — — — — —
200819 ROK RAWGCL Cardinals — 201169 411225 26505 97 243360426786 183313 2513 352 44 — — — — — —
200920 ROK MLEJohnson City Cardinals — 140129 26811 8503 35 202264302567 101321 366 239 48 — — — — — —
200920 ROK RAWJohnson City Cardinals — 140125 341211 12353 35 272350408758 136371 259 341 48 — — — — — —
201021 A MLEQuad Cities River Bandits — 168144 31835 19503 42 215319417736 201286 3011 322 104 — — — — — —
201021 A RAWQuad Cities River Bandits — 168137 361137 26373 42 263392540932 277305 2215 402 104 — — — — — —
201122 A+ MLEPalm Beach Cardinals — 508464 1071748 311635 158 231286336622 106332 326 273 71 — — — — — —
201122 A+ RAWPalm Beach Cardinals — 508455 1231969 401125 158 270336398734 127336 228 325 71 — — — — — —
201223 A+ MLE2 teams — 432396 701613 261503 53 177233245478 68268 356 212 30 — — — — — —
201223 A+ RAW2 teams — 432385 821813 371073 53 213287288575 75280 259 262 30 — — — — — —
201627 AA MLE2 teams — 373350 781421 17561 22 223261283544 60259 155 241 49 — — — — — —
201627 AA RAW2 teams — 373340 861523 27451 22 253310335645 82280 127 290 49 — — — — — —
201728 AAA MLESaraperos de Saltillo — 468428 11316117 34923 96 264323425748 161298 207 323 105 — — — — — —
201728 AAA RAWSaraperos de Saltillo — 468411 13619126 51743 96 331409572980 241350 1611 426 105 — — — — — —
201829 INTL MLETomateros de Culiacan — 11195 24415 15270 22 253355474828 221297 2414 — — — — — — — —
201829 INTL RAWTomateros de Culiacan — 11195 24415 15270 22 253355474828 221297 2414 363 132 — — — — — —
201930 AAA MLE2 teams — 575524 13225219 471062 54 252316416732 164282 188 317 101 — — — — — —
201930 AAA RAW2 teams — 575506 15730228 65982 54 310391543934 233338 1711 408 101 — — — — — —
202031 INTL MLEEstrellas Orientales — 3029 8102 0100 00 276276517793 241333 330 — — — — — — — —
202031 INTL RAWEstrellas Orientales — 3029 8102 0100 00 276276517793 241333 330 332 111 — — — — — —
202132 INTL MLEYaquis de Obregon — 7671 16202 4201 02 225276338614 113286 265 — — — — — — — —
202132 INTL RAWYaquis de Obregon — 7671 16202 4201 02 225276338614 113286 265 278 74 — — — — — —
202233 INTL MLENavegantes del Magallanes — 158141 47708 14252 00 333399553952 220361 169 — — — — — — — —
202233 INTL RAWNavegantes del Magallanes — 158141 47708 14252 00 333399553952 220361 169 417 168 — — — — — —
202334 INTL MLEAlgodoneros de Guasave — 277242 5313011 33781 20 219315409724 190273 2812 — — — — — — — —
202334 INTL RAWAlgodoneros de Guasave — 277242 5313011 33781 20 219315409724 190273 2812 323 105 — — — — — —
200617 ROK MLEDSL Cardinals — 10391 13300 8323 32 143235176411 33203 318 197 19 — — — — — —
200718 ROK MLEGCL Cardinals — 5954 2000 4371 10 3711937156 153 637 101 -45 — — — — — —
200819 ROK MLEGCL Cardinals — 201178 29814 16725 97 163250287537 124233 368 233 44 — — — — — —
200920 ROK MLEJohnson City Cardinals — 140128 26811 8503 35 203264305569 102309 366 239 48 — — — — — —
201021 A MLEQuad Cities River Bandits — 168144 31835 19503 42 215319417736 201278 3011 322 104 — — — — — —
201122 A+ MLEPalm Beach Cardinals — 508467 1071748 311635 158 229286334620 105324 326 273 71 — — — — — —
201223 A+ MLE2 teams — 432400 701613 261503 53 175233242475 68260 356 212 30 — — — — — —
201627 AA MLE2 teams — 373352 781421 17561 22 222261281542 60254 155 241 49 — — — — — —
201728 AAA MLESaraperos de Saltillo — 468428 11316117 34923 96 264323425748 161294 207 323 105 — — — — — —
201930 AAA MLE2 teams — 575521 13225219 471062 54 253316418734 165279 188 317 101 — — — — — —
▸ Career Totals
Career— MLE — 36793337 7491421686 27696833 6043 224290354644 129287 268 221 36 -280 -5 +0 -39 +80 -25.0
/ 162G— MLE — 650590 13225315 491716 118 224290353643 129286 268 221 36 -50 -1 +0 -7 +14 -4.4

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.

2019 AAASaraperos de Saltillo · 514 PAwOBA .415 → .317 (−98)K% 15.2% → 18.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.18%÷0.984×1.200——18.51%
BB% (unintentional) /PA12.06%÷0.986×0.690—×0.9728.20%
HBP% /PA0.39%—×0.940—×0.9720.36%
Singles /BIP24.05%÷1.007×0.930×0.950×0.97220.51%
Doubles /BIP7.57%÷0.984×0.830×0.950×0.9725.89%
Triples /BIP0.54%÷1.150×0.920×0.950×0.9720.40%
Home runs /BIP7.03%÷1.040×0.700—×0.9724.60%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 101, 2B 97, 3B 130, K 97, BB 97 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .415 → .317; ISO .246 → .171; BABIP .344 → .279. 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).

2017 AAASaraperos de Saltillo · 468 PAwOBA .416 → .323 (−93)K% 15.8% → 19.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.81%÷0.961×1.200——19.74%
BB% (unintentional) /PA10.47%÷0.994×0.690—×0.9927.21%
HBP% /PA0.64%—×0.940—×0.9920.60%
Singles /BIP26.71%÷1.067×0.930×1.006×0.99223.22%
Doubles /BIP5.64%÷0.972×0.830×1.006×0.9924.80%
Triples /BIP0.30%÷1.150×0.920×1.006×0.9920.24%
Home runs /BIP7.72%÷1.093×0.700—×0.9924.90%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 113, 2B 94, 3B 130, K 92, BB 99 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .416 → .323; ISO .241 → .165; BABIP .350 → .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).

2016 AAPortland Sea Dogs · 354 PAwOBA .284 → .241 (−43)K% 12.1% → 15.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.15%÷0.985×1.220——15.04%
BB% (unintentional) /PA7.06%÷1.050×0.700—×0.9784.61%
HBP% /PA0.28%—×0.850—×0.9780.23%
Singles /BIP22.50%÷1.040×0.970×1.001×0.97820.53%
Doubles /BIP5.36%÷0.997×0.860×1.001×0.9784.52%
Triples /BIP0.71%÷1.031×0.950×1.001×0.9780.64%
Home runs /BIP0.71%÷1.371×0.780—×0.9780.40%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .284 → .241; ISO .077 → .061; BABIP .284 → .254. 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).

2012 A+Palm Beach Cardinals · 365 PAwOBA .253 → .208 (−45)K% 23.0% → 33.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.01%÷0.977×1.420——33.46%
BB% (unintentional) /PA7.12%÷1.064×0.750—×0.9985.01%
HBP% /PA0.82%—×0.930—×0.9980.76%
Singles /BIP20.82%÷1.013×0.920×0.996×0.99818.80%
Doubles /BIP6.53%÷0.969×0.960×0.996×0.9986.43%
Triples /BIP0.41%÷0.930×0.810×0.996×0.9980.35%
Home runs /BIP0.82%÷0.795×0.880—×0.9980.90%

Factors used: league row FSL. Park (home-season share, regressed): HR 59, 1B 103, 2B 94, 3B 86, K 95, BB 113 — 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 ×0.996.

Result: wOBA .253 → .208; ISO .073 → .066; BABIP .272 → .250. 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).

2012 AASpringfield Cardinals · 67 PAwOBA .299 → .235 (−64)K% 34.3% → 40.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.33%÷1.025×1.220——40.87%
BB% (unintentional) /PA16.42%÷1.043×0.700—×1.02711.32%
HBP% /PA0.00%—×0.870—×1.0270.00%
Singles /BIP27.27%÷1.003×0.920—×1.02725.70%
Doubles /BIP6.06%÷1.054×0.840—×1.0274.96%
Triples /BIP0.00%÷0.900×0.940—×1.0270.00%
Home runs /BIP3.03%÷1.238×0.800—×1.0272.01%

Factors used: league row TL. Park (home-season share, regressed): HR 148, 1B 101, 2B 111, 3B 80, K 105, BB 109 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average).

Result: wOBA .299 → .235; ISO .089 → .063; BABIP .344 → .313. 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).

2011 A+Palm Beach Cardinals · 508 PAwOBA .319 → .273 (−46)K% 22.0% → 32.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.05%÷0.978×1.420——32.00%
BB% (unintentional) /PA7.87%÷0.975×0.750—×1.0126.13%
HBP% /PA0.98%—×0.930—×1.0120.93%
Singles /BIP25.95%÷1.006×0.920×1.050×1.01225.21%
Doubles /BIP5.54%÷1.013×0.960×1.050×1.0125.58%
Triples /BIP1.75%÷1.150×0.810×1.050×1.0121.31%
Home runs /BIP2.62%÷0.914×0.880—×1.0122.56%

Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 101, 2B 103, 3B 130, K 96, BB 95 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .319 → .273; ISO .127 → .108; BABIP .336 → .324. 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).

2010 AQuad Cities River Bandits · 168 PAwOBA .396 → .322 (−74)K% 22.0% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.02%÷1.010×1.360——29.65%
BB% (unintentional) /PA15.48%÷0.971×0.690—×1.01511.16%
HBP% /PA1.79%—×0.780—×1.0151.41%
Singles /BIP15.00%÷0.967×0.920×1.050×1.01515.20%
Doubles /BIP11.00%÷1.162×0.830×1.050×1.0158.37%
Triples /BIP3.00%÷0.900×0.910×1.050×1.0153.23%
Home runs /BIP7.00%÷1.027×0.800—×1.0155.53%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 93, 2B 132, 3B 80, K 102, BB 94 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .396 → .322; ISO .277 → .223; BABIP .305 → .278. 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).

2009 ROKJohnson City Cardinals · 140 PAwOBA .333 → .239 (−93)K% 25.0% → 35.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.00%÷1.000×1.420——35.50%
BB% (unintentional) /PA8.57%÷1.000×0.640—×0.9955.46%
HBP% /PA2.14%—×0.740—×0.9951.58%
Singles /BIP22.22%÷1.000×0.840×1.050×0.99519.50%
Doubles /BIP13.33%÷1.000×0.740×1.050×0.99510.31%
Triples /BIP1.11%÷1.000×0.740×1.050×0.9950.86%
Home runs /BIP1.11%÷1.000×0.800—×0.9950.88%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .333 → .239; ISO .136 → .094; BABIP .371 → .309. 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 — .