Robbie Tenerowicz

Pos1B
B/TR/R
Born1995-01-06
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2024
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202227AAA/AACIN243.259/.404/.4256193—.226/.342/.364
202328AAA/AA/INTL2 orgs626.279/.395/.440193104—.252/.341/.400
202429AASD466.235/.360/.37112473—.203/.314/.315
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 AA
Whiff%81
K%80
wRC+78
wOBA73
Z-Con%71
ISO62

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)
201621 ROKPrinceton Rays — 226203 591706 15475 15 291354463817 172351 217 359 57 — — — — — —
201722 ABowling Green Hot Rods — 390349 10325311 32678 43 295368479846 183338 178 374 78 — — — — — —
201823 A+Charlotte Stone Crabs — 429383 1122215 32626 84 292356394751 102330 147 333 78 — — — — — —
201924 AAMontgomery Biscuits — 290255 551004 24627 86 216301302603 86268 218 276 41 — — — — — —
202126 AAChattanooga Lookouts — 353303 8017214 278917 36 264357472829 208320 258 363 84 — — — — — —
202227 AAALouisville Bats — 5647 8210 5124 00 170304255559 85229 219 270 40 — — — — — —
202227 AAChattanooga Lookouts — 187146 421006 273911 10 288435479914 192346 2114 405 109 — — — — — —
202328 AAATacoma Rainiers — 201174 46603 18348 11 264360351711 86312 179 328 76 — — — — — —
202328 AAArkansas Travelers — 385316 9220016 446521 12 291412506918 215318 1711 405 118 — — — — — —
202328 INTLNaranjeros de Hermosillo — 4030 7100 4105 10 233410267677 33333 2510 329 109 — — — — — —
202429 AASan Antonio Missions — 466383 9016012 358640 41 235360371731 136267 188 334 73 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 ROK MLEPrinceton Rays — 226209 441204 9675 15 211260325585 115275 304 253 57 — — — — — —
201722 A MLEBowling Green Hot Rods — 390359 831828 22948 43 231290359650 128288 246 284 78 — — — — — —
201823 A+ MLECharlotte Stone Crabs — 429392 982015 23906 84 250302344646 94295 215 284 78 — — — — — —
201924 AA MLEMontgomery Biscuits — 290262 49903 17777 86 187255256511 69243 276 229 41 — — — — — —
202126 AA MLEChattanooga Lookouts — 353310 6712211 2010417 36 216300374674 158266 296 292 84 — — — — — —
202227 AAA MLELouisville Bats — 5649 8210 3154 00 163268245513 82215 275 228 40 — — — — — —
202227 AA MLEChattanooga Lookouts — 187155 38905 184711 10 245364400764 155295 2510 330 109 — — — — — —
202328 AAA MLETacoma Rainiers — 201180 44602 12408 11 244320311631 67297 206 281 76 — — — — — —
202328 AA MLEArkansas Travelers — 385332 8518015 287621 12 256352446797 190275 207 342 118 — — — — — —
202429 AA MLESan Antonio Missions — 466394 8014010 2410640 41 203314315629 112232 235 276 73 — — — — — —
201621 ROK MLEPrinceton Rays — 226209 441204 9675 15 211260325585 115288 304 253 57 — — — — — —
201621 ROK RAWPrinceton Rays — 226203 591706 15475 15 291354463817 172351 217 359 57 — — — — — —
201722 A MLEBowling Green Hot Rods — 390359 831828 22948 43 231290359650 128291 246 284 78 — — — — — —
201722 A RAWBowling Green Hot Rods — 390349 10325311 32678 43 295368479846 183338 178 374 78 — — — — — —
201823 A+ MLECharlotte Stone Crabs — 429392 982015 23906 84 250302344646 94305 215 284 78 — — — — — —
201823 A+ RAWCharlotte Stone Crabs — 429383 1122215 32626 84 292356394751 102330 147 333 78 — — — — — —
201924 AA MLEMontgomery Biscuits — 290262 49903 17777 86 187255256511 69251 276 229 41 — — — — — —
201924 AA RAWMontgomery Biscuits — 290255 551004 24627 86 216301302603 86268 218 276 41 — — — — — —
202126 AA MLEChattanooga Lookouts — 353310 6712211 2010417 36 216300374674 158279 296 292 84 — — — — — —
202126 AA RAWChattanooga Lookouts — 353303 8017214 278917 36 264357472829 208320 258 363 84 — — — — — —
202227 AA MLE2 teams — 243204 451015 216215 10 221338353690 132286 269 306 94 — — — — — —
202227 AA RAW2 teams — 243193 501216 325115 10 259404425829 166317 2113 374 94 — — — — — —
202328 AA MLE3 teams — 626543 13725018 4312434 33 252345398743 145292 207 321 103 — — — — — —
202328 AA RAW3 teams — 626520 14527019 6610934 33 279395440836 162317 1711 375 103 — — — — — —
202429 AA MLESan Antonio Missions — 466394 8014010 2410640 41 203314315629 112246 235 276 73 — — — — — —
202429 AA RAWSan Antonio Missions — 466383 9016012 358640 41 235360371731 136267 188 334 73 — — — — — —
201621 ROK MLEPrinceton Rays — 226210 441204 9675 15 210260324584 114275 304 253 57 — — — — — —
201722 A MLEBowling Green Hot Rods — 390357 831828 22948 43 232290361652 129288 246 284 78 — — — — — —
201823 A+ MLECharlotte Stone Crabs — 429397 982015 23906 84 247302340642 93295 215 284 78 — — — — — —
201924 AA MLEMontgomery Biscuits — 290264 49903 17777 86 186255254509 68243 276 229 41 — — — — — —
202126 AA MLEChattanooga Lookouts — 353313 6712211 2010417 36 214300371670 157266 296 292 84 — — — — — —
202227 AA MLE2 teams — 243205 451015 216215 10 220338351689 132277 269 306 94 — — — — — —
202328 AA MLE3 teams — 626544 13725018 4312434 33 252345397742 145283 207 321 103 — — — — — —
202429 AA MLESan Antonio Missions — 466399 8014010 2410640 41 201314311625 110232 235 276 73 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202429 AA MLESan Antonio Missions — 466399 8014010 2410640 41 201314311625 110232 235 276 73 — — — — — —
▸ Career Totals
Career— MLE — 30232673 603120664 179724132 3228 226306347653 121281 246 286 79 -74 -5 +0 -54 +65 -6.9
/ 162G— MLE — 650575 13026114 3815628 76 226305348653 122282 246 286 79 -16 -1 +0 -12 +14 -1.5

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.

2024 AASan Antonio Missions · 466 PAwOBA .330 → .276 (−55)K% 18.5% → 22.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.45%÷0.987×1.220——22.82%
BB% (unintentional) /PA7.51%÷0.987×0.700—×0.9585.10%
HBP% /PA8.58%—×0.870—×0.9587.15%
Singles /BIP20.88%÷1.015×0.920×1.015×0.95818.40%
Doubles /BIP5.39%÷0.957×0.840×1.015×0.9584.60%
Triples /BIP0.00%÷1.150×0.940×1.015×0.9580.00%
Home runs /BIP4.04%÷0.953×0.800—×0.9583.25%

Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 103, 2B 91, 3B 130, K 97, BB 97 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .330 → .276; ISO .136 → .113; BABIP .267 → .232. 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).

2023 AAArkansas Travelers · 385 PAwOBA .398 → .342 (−56)K% 16.9% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.88%÷1.041×1.220——19.79%
BB% (unintentional) /PA11.17%÷1.046×0.700—×0.9687.23%
HBP% /PA5.45%—×0.870—×0.9684.59%
Singles /BIP22.31%÷1.033×0.920×1.019×0.96819.61%
Doubles /BIP7.97%÷0.983×0.840×1.019×0.9686.72%
Triples /BIP0.00%÷1.103×0.940×1.019×0.9680.00%
Home runs /BIP6.37%÷0.853×0.800—×0.9685.79%

Factors used: league row TL. Park (home-season share, regressed): HR 71, 1B 107, 2B 97, 3B 121, K 108, BB 109 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .398 → .342; ISO .215 → .201; BABIP .318 → .275. 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).

2023 AAATacoma Rainiers · 201 PAwOBA .321 → .281 (−40)K% 16.9% → 19.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.92%÷1.024×1.200——19.83%
BB% (unintentional) /PA8.96%÷1.013×0.690—×0.9926.05%
HBP% /PA3.98%—×0.940—×0.9923.71%
Singles /BIP26.43%÷0.989×0.930×1.038×0.99225.60%
Doubles /BIP4.29%÷0.940×0.830×1.038×0.9923.90%
Triples /BIP0.00%÷0.900×0.970×1.038×0.9920.00%
Home runs /BIP2.14%÷1.157×0.700—×0.9921.29%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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 ×1.038.

Result: wOBA .321 → .281; ISO .086 → .063; BABIP .312 → .297. 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).

2022 AAChattanooga Lookouts · 187 PAwOBA .402 → .330 (−72)K% 20.9% → 25.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.86%÷1.010×1.220——25.19%
BB% (unintentional) /PA14.44%÷1.019×0.680—×0.9789.42%
HBP% /PA5.88%—×0.840—×0.9784.83%
Singles /BIP24.30%÷1.002×0.920×0.982×0.97821.43%
Doubles /BIP9.35%÷1.084×0.910×0.982×0.9787.54%
Triples /BIP0.00%÷0.912×0.880×0.982×0.9780.00%
Home runs /BIP5.61%÷0.990×0.800—×0.9784.43%

Factors used: league row SL. Park (home-season share, regressed): HR 98, 1B 100, 2B 117, 3B 82, K 102, BB 104 — 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 ×0.982.

Result: wOBA .402 → .330; ISO .192 → .162; BABIP .346 → .295. 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).

2022 AAALouisville Bats · 56 PAwOBA .264 → .228 (−36)K% 21.4% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.43%÷0.958×1.200——26.86%
BB% (unintentional) /PA8.93%÷1.023×0.690—×1.0036.04%
HBP% /PA7.14%—×0.940—×1.0036.73%
Singles /BIP14.29%÷0.996×0.930—×1.00313.38%
Doubles /BIP5.71%÷0.955×0.830—×1.0034.98%
Triples /BIP2.86%÷0.900×0.970—×1.0033.09%
Home runs /BIP0.00%÷1.282×0.700—×1.0030.00%

Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — 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).

Result: wOBA .264 → .228; ISO .085 → .080; BABIP .229 → .215. 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).

2021 AAChattanooga Lookouts · 353 PAwOBA .359 → .292 (−67)K% 25.2% → 29.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.21%÷1.040×1.220——29.56%
BB% (unintentional) /PA7.65%÷0.936×0.690—×0.9885.57%
HBP% /PA4.82%—×0.850—×0.9884.04%
Singles /BIP21.96%÷1.011×0.940×0.964×0.98819.45%
Doubles /BIP7.94%÷1.183×0.870×0.964×0.9885.57%
Triples /BIP0.93%÷0.912×0.920×0.964×0.9880.90%
Home runs /BIP6.54%÷0.950×0.780—×0.9885.31%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 102, 2B 137, 3B 82, K 108, BB 87 — 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 ×0.964.

Result: wOBA .359 → .292; ISO .208 → .165; BABIP .320 → .266. 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).

2019 AAMontgomery Biscuits · 290 PAwOBA .270 → .229 (−41)K% 21.4% → 26.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.38%÷0.985×1.220——26.48%
BB% (unintentional) /PA8.28%÷0.963×0.680—×1.0125.91%
HBP% /PA2.41%—×0.840—×1.0122.05%
Singles /BIP21.24%÷0.978×0.920×0.964×1.01219.50%
Doubles /BIP5.18%÷1.028×0.910×0.964×1.0124.47%
Triples /BIP0.00%÷1.150×0.880×0.964×1.0120.00%
Home runs /BIP2.07%÷0.920×0.800—×1.0121.82%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 96, 2B 106, 3B 130, K 97, BB 93 — 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 ×0.964.

Result: wOBA .270 → .229; ISO .086 → .074; BABIP .268 → .243. 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).

2018 A+Charlotte Stone Crabs · 429 PAwOBA .330 → .284 (−46)K% 14.5% → 20.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.45%÷0.983×1.420——20.87%
BB% (unintentional) /PA7.23%÷1.022×0.750—×0.9985.29%
HBP% /PA1.40%—×0.930—×0.9981.30%
Singles /BIP26.17%÷1.031×0.920×0.994×0.99823.16%
Doubles /BIP6.85%÷1.012×0.960×0.994×0.9986.45%
Triples /BIP0.31%÷1.150×0.810×0.994×0.9980.22%
Home runs /BIP1.56%÷0.857×0.880—×0.9981.60%

Factors used: league row FSL. Park (home-season share, regressed): HR 71, 1B 106, 2B 102, 3B 130, K 97, BB 104 — 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 ×0.994.

Result: wOBA .330 → .284; ISO .102 → .095; BABIP .330 → .295. 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 — .