Israel Nunez

PosC
B/TR/R
Born1985-09-01
Age (2027)41
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201630AAA/INTL2 orgs52.347/.360/.4291095—.375/.394/.500
201731AAABravos de Leon95.250/.297/.3692046—.218/.253/.299
201933AAABravos de Leon173.325/.357/.4113060—.255/.281/.315
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
200620 ROKVSL Mariners — 134111 36103 13106 00 324423414837 90333 710 373 54 — — — — — —
200721 AWisconsin Timber Rattlers — 1614 3000 161 00 214312214527 375 386 259 12 — — — — — —
200721 ROKAZL Mariners — 7161 17000 6142 12 279362279641 354 208 296 33 — — — — — —
200822 AWisconsin Timber Rattlers — 211196 44801 11273 20 224276281557 56256 135 255 29 — — — — — —
200923 AClinton LumberKings — 4441 8000 083 00 195250195445 242 180 215 3 — — — — — —
201024 AAAAcereros del Norte — 6556 19300 370 00 339373393766 54373 115 314 106 — — — — — —
201125 AAALeones de Yucatan — 9886 15300 11100 01 174268209477 35197 1011 228 22 — — — — — —
201226 AAADelfines de Ciudad del Carmen — 136124 34201 7251 02 274318315633 40337 185 282 58 — — — — — —
201327 AAAPiratas de Campeche — 3228 8300 351 00 286375393768 107348 169 350 83 — — — — — —
201428 AAALeones de Yucatan — 10084 26800 8122 01 310383405788 95351 128 336 105 — — — — — —
201428 INTLCharros de Jalisco — 4540 14001 3102 10 350422425847 75448 227 387 148 — — — — — —
201529 AAALeones de Yucatan — 218199 56812 9376 10 281332362694 80329 174 309 71 — — — — — —
201630 AAAAcereros del Norte — 3532 13101 130 00 406424531955 125414 93 400 126 — — — — — —
201630 INTLCharros de Jalisco — 1717 4000 020 01 235235235471 267 120 213 30 — — — — — —
201731 AAABravos de Leon — 9584 21402 6130 00 250297369666 119275 146 285 46 — — — — — —
201933 AAABravos de Leon — 173163 53503 4244 00 325357411768 86362 142 342 60 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200620 ROK MLEVSL Mariners — 134116 25101 8126 00 216300250550 34218 96 248 54 — — — — — —
200721 A MLEWisconsin Timber Rattlers — 1614 2000 181 00 143250143393 345 506 186 12 — — — — — —
200721 ROK MLEAZL Mariners — 7163 13000 4202 12 206275206482 284 286 217 33 — — — — — —
200822 A MLEWisconsin Timber Rattlers — 211199 40701 8373 20 201243251494 50234 184 211 29 — — — — — —
200923 A MLEClinton LumberKings — 4441 7000 0113 00 171227171398 219 250 172 3 — — — — — —
201024 AAA MLEAcereros del Norte — 6557 21300 290 00 368390421811 53363 143 325 106 — — — — — —
201125 AAA MLELeones de Yucatan — 9889 15300 8120 01 169237202439 34189 128 200 22 — — — — — —
201226 AAA MLEDelfines de Ciudad del Carmen — 136127 34201 4291 02 268295307603 39321 213 254 58 — — — — — —
201327 AAA MLEPiratas de Campeche — 3229 7200 261 00 241312310623 69311 196 291 83 — — — — — —
201428 AAA MLELeones de Yucatan — 10086 27800 6152 01 314372407779 93337 156 324 105 — — — — — —
201529 AAA MLELeones de Yucatan — 218202 52712 6446 10 257299332631 74303 203 273 71 — — — — — —
201630 AAA MLEAcereros del Norte — 3532 12101 140 00 375394500894 125360 113 355 126 — — — — — —
201731 AAA MLEBravos de Leon — 9587 19401 4170 00 218253299552 80241 184 236 46 — — — — — —
201933 AAA MLEBravos de Leon — 173165 42402 2284 00 255281315596 61286 161 257 60 — — — — — —
200620 ROK MLEVSL Mariners — 134116 25101 8126 00 216300250550 34231 96 248 54 — — — — — —
200620 ROK RAWVSL Mariners — 134111 36103 13106 00 324423414837 90333 710 373 54 — — — — — —
200721 ROK MLE2 teams — 8778 15000 4283 12 192259192451 294 325 211 29 — — — — — —
200721 ROK RAW2 teams — 8775 20000 7203 12 267353267620 357 238 290 29 — — — — — —
200822 A MLEWisconsin Timber Rattlers — 211199 40701 8373 20 201243251494 50242 184 211 29 — — — — — —
200822 A RAWWisconsin Timber Rattlers — 211196 44801 11273 20 224276281557 56256 135 255 29 — — — — — —
200923 A MLEClinton LumberKings — 4441 7000 0113 00 171227171398 233 250 172 3 — — — — — —
200923 A RAWClinton LumberKings — 4441 8000 083 00 195250195445 242 180 215 3 — — — — — —
201024 AAA MLEAcereros del Norte — 6557 21300 290 00 368390421811 53420 143 325 106 — — — — — —
201024 AAA RAWAcereros del Norte — 6556 19300 370 00 339373393766 54373 115 314 106 — — — — — —
201125 AAA MLELeones de Yucatan — 9889 15300 8120 01 169237202439 34195 128 200 22 — — — — — —
201125 AAA RAWLeones de Yucatan — 9886 15300 11100 01 174268209477 35197 1011 228 22 — — — — — —
201226 AAA MLEDelfines de Ciudad del Carmen — 136127 34201 4291 02 268295307603 39340 213 254 58 — — — — — —
201226 AAA RAWDelfines de Ciudad del Carmen — 136124 34201 7251 02 274318315633 40337 185 282 58 — — — — — —
201327 AAA MLEPiratas de Campeche — 3229 7200 261 00 241312310623 69304 196 291 83 — — — — — —
201327 AAA RAWPiratas de Campeche — 3228 8300 351 00 286375393768 107348 169 350 83 — — — — — —
201428 AAA MLE2 teams — 145126 391100 9214 11 310374397771 87364 146 324 105 — — — — — —
201428 AAA RAW2 teams — 145124 40801 11224 11 323396411807 89379 158 352 105 — — — — — —
201529 AAA MLELeones de Yucatan — 218202 52712 6446 10 257299332631 74312 203 273 71 — — — — — —
201529 AAA RAWLeones de Yucatan — 218199 56812 9376 10 281332362694 80329 174 309 71 — — — — — —
201630 AAA MLE2 teams — 5249 17101 150 01 347360429789 82364 102 355 126 — — — — — —
201630 AAA RAW2 teams — 5249 17101 150 01 347360429789 82364 102 339 126 — — — — — —
201731 AAA MLEBravos de Leon — 9587 19401 4170 00 218253299552 80261 184 236 46 — — — — — —
201731 AAA RAWBravos de Leon — 9584 21402 6130 00 250297369666 119275 146 285 46 — — — — — —
201933 AAA MLEBravos de Leon — 173165 42402 2284 00 255281315596 61292 161 257 60 — — — — — —
201933 AAA RAWBravos de Leon — 173163 53503 4244 00 325357411768 86362 142 342 60 — — — — — —
200620 ROK MLEVSL Mariners — 134119 25101 8126 00 210300244544 34218 96 248 54 — — — — — —
200721 ROK MLE2 teams — 8780 15000 4283 12 188259188446 295 325 211 29 — — — — — —
200822 A MLEWisconsin Timber Rattlers — 211198 40701 8373 20 202243253495 51234 184 211 29 — — — — — —
200923 A MLEClinton LumberKings — 4441 7000 0113 00 171227171398 219 250 172 3 — — — — — —
201024 AAA MLEAcereros del Norte — 6563 21300 290 00 333390381771 48363 143 325 106 — — — — — —
201125 AAA MLELeones de Yucatan — 9890 15300 8120 01 167237200437 33189 128 200 22 — — — — — —
201226 AAA MLEDelfines de Ciudad del Carmen — 136130 34201 4291 02 262295300595 38321 213 254 58 — — — — — —
201327 AAA MLEPiratas de Campeche — 3229 7200 261 00 241312310623 69311 196 291 83 — — — — — —
201428 AAA MLE2 teams — 145131 391100 9214 11 298374382756 84337 146 324 105 — — — — — —
201529 AAA MLELeones de Yucatan — 218204 52712 6446 10 255299328627 74303 203 273 71 — — — — — —
201630 AAA MLE2 teams — 5251 17101 150 01 333360412772 78360 102 355 126 — — — — — —
201731 AAA MLEBravos de Leon — 9591 19401 4170 00 209253286538 77241 184 236 46 — — — — — —
201933 AAA MLEBravos de Leon — 173165 42402 2284 00 255281315596 61286 161 257 60 — — — — — —
▸ Career Totals
Career— MLE — 14901365 3334519 5825931 57 244290298588 54292 174 255 59 -73 -2 +0 +27 +32 -1.6
/ 162G— MLE — 650595 1452004 2511314 23 244290297588 54291 174 255 59 -32 -1 +0 +12 +14 -0.7

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 AAABravos de Leon · 173 PAwOBA .336 → .257 (−79)K% 13.9% → 16.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.87%÷1.032×1.200——16.13%
BB% (unintentional) /PA2.31%÷1.034×0.690—×0.9401.45%
HBP% /PA2.31%—×0.940—×0.9402.04%
Singles /BIP32.37%÷1.037×0.930×0.950×0.94025.92%
Doubles /BIP3.60%÷0.973×0.830×0.950×0.9402.74%
Triples /BIP0.00%÷1.125×0.920×0.950×0.9400.00%
Home runs /BIP2.16%÷1.227×0.700—×0.9401.16%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 145, 1B 107, 2B 95, 3B 125, K 106, BB 107 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .336 → .257; ISO .086 → .053; BABIP .362 → .286. 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 AAABravos de Leon · 95 PAwOBA .277 → .236 (−41)K% 13.7% → 17.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.68%÷0.942×1.200——17.43%
BB% (unintentional) /PA6.32%÷0.968×0.690—×0.9524.28%
HBP% /PA0.00%—×0.940—×0.9520.00%
Singles /BIP21.13%÷1.036×0.930×1.040×0.95218.78%
Doubles /BIP5.63%÷0.960×0.830×1.040×0.9524.82%
Triples /BIP0.00%÷1.150×0.920×1.040×0.9520.00%
Home runs /BIP2.82%÷0.981×0.700—×0.9521.91%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 92, 3B 130, K 88, BB 94 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .277 → .236; ISO .119 → .094; BABIP .275 → .241. 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 AAAAcereros del Norte · 35 PAwOBA .401 → .355 (−46)K% 8.6% → 10.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.57%÷0.989×1.200——10.40%
BB% (unintentional) /PA2.86%÷1.059×0.690—×0.9621.79%
HBP% /PA0.00%—×0.940—×0.9620.00%
Singles /BIP37.93%÷1.011×0.930—×0.96233.56%
Doubles /BIP3.45%÷1.013×0.830—×0.9622.72%
Triples /BIP0.00%÷1.124×0.920—×0.9620.00%
Home runs /BIP3.45%÷0.941×0.700—×0.9622.47%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 102, 2B 103, 3B 125, K 98, BB 112 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .401 → .355; ISO .125 → .097; BABIP .414 → .360. 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 AAALeones de Yucatan · 218 PAwOBA .307 → .273 (−34)K% 17.0% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.97%÷1.000×1.200——20.37%
BB% (unintentional) /PA4.13%÷0.949×0.690—×0.9722.92%
HBP% /PA2.75%—×0.940—×0.9722.51%
Singles /BIP27.78%÷1.005×0.930×1.035×0.97225.85%
Doubles /BIP4.94%÷0.935×0.830×1.035×0.9724.41%
Triples /BIP0.62%÷1.150×0.920×1.035×0.9720.50%
Home runs /BIP1.23%÷0.849×0.700—×0.9720.99%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 101, 2B 87, 3B 130, K 100, BB 90 — 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 ×1.035.

Result: wOBA .307 → .273; ISO .080 → .068; BABIP .329 → .303. 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 AAALeones de Yucatan · 100 PAwOBA .334 → .324 (−11)K% 12.0% → 14.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.00%÷0.971×1.200——14.83%
BB% (unintentional) /PA8.00%÷0.921×0.690—×0.9825.89%
HBP% /PA2.00%—×0.940—×0.9821.85%
Singles /BIP25.00%÷0.969×0.930×1.050×0.98224.74%
Doubles /BIP11.11%÷0.970×0.830×1.050×0.9829.80%
Triples /BIP0.00%÷1.150×0.920×1.050×0.9820.00%
Home runs /BIP0.00%÷0.947×0.700—×0.9820.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 94, 2B 94, 3B 130, K 94, BB 84 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .334 → .324; ISO .095 → .090; BABIP .351 → .337. 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).

2013 AAAPiratas de Campeche · 32 PAwOBA .341 → .291 (−50)K% 15.6% → 18.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.62%÷0.996×1.200——18.82%
BB% (unintentional) /PA9.38%÷0.959×0.690—×0.9926.69%
HBP% /PA3.12%—×0.940—×0.9922.91%
Singles /BIP21.74%÷0.990×0.930—×0.99220.26%
Doubles /BIP13.04%÷0.994×0.830—×0.99210.81%
Triples /BIP0.00%÷1.150×0.920—×0.9920.00%
Home runs /BIP0.00%÷0.988×0.700—×0.9920.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 98, 2B 99, 3B 130, K 99, BB 92 — 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).

Result: wOBA .341 → .291; ISO .107 → .088; BABIP .348 → .311. 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 AAADelfines de Ciudad del Carmen · 136 PAwOBA .271 → .254 (−17)K% 18.4% → 21.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.38%÷1.040×1.200——21.22%
BB% (unintentional) /PA4.41%÷1.015×0.690—×1.0033.01%
HBP% /PA0.74%—×0.940—×1.0030.69%
Singles /BIP31.31%÷1.017×0.930×1.050×1.00330.15%
Doubles /BIP2.02%÷1.073×0.830×1.050×1.0031.65%
Triples /BIP0.00%÷1.000×0.920×1.050×1.0030.00%
Home runs /BIP1.01%÷0.889×0.700—×1.0030.80%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 103, 2B 114, 3B 100, K 108, BB 103 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .271 → .254; ISO .040 → .033; BABIP .337 → .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).

2011 AAALeones de Yucatan · 98 PAwOBA .223 → .200 (−23)K% 10.2% → 11.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.20%÷1.041×1.200——11.76%
BB% (unintentional) /PA11.22%÷0.949×0.690—×1.0188.31%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP15.79%÷1.021×0.930×1.050×1.01815.38%
Doubles /BIP3.95%÷1.006×0.830×1.050×1.0183.48%
Triples /BIP0.00%÷1.150×0.920×1.050×1.0180.00%
Home runs /BIP0.00%÷0.794×0.700—×1.0180.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 59, 1B 104, 2B 101, 3B 130, K 108, BB 90 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .223 → .200; ISO .035 → .032; BABIP .197 → .189. 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 — .