Jalen Miller

Pos2B
B/TR/R
Born1996-12-19
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202124AAMississippi B…255.201/.274/.3769338—.160/.210/.304
202225AAMississippi B…379.235/.339/.38881762—.196/.272/.325
202528INTLIndios de May…69.185/.232/.1850820—
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)
201518 ROKAZL Giants — 197174 38510 17422 112 218295259554 40284 219 255 13 — — — — — —
201619 AAugusta GreenJackets — 500457 1022055 261076 115 223274322596 98277 215 264 32 — — — — — —
201720 A+San Jose Giants — 470431 982546 311003 64 227283346629 118281 217 281 41 — — — — — —
201821 A+San Jose Giants — 554511 14135214 271218 114 276322434757 159335 225 331 65 — — — — — —
201922 AARichmond Flying Squirrels — 550491 10618311 491062 2713 216290332622 116251 199 279 46 — — — — — —
201922 INTLScottsdale Scorpions — 3332 6101 1140 10 188212312525 125294 423 233 44 — — — — — —
202124 AAMississippi Braves — 255229 461309 22751 31 201274376649 175250 299 287 38 — — — — — —
202225 AAMississippi Braves — 379327 772228 48853 175 235339388727 153295 2213 329 62 — — — — — —
202528 INTLIndios de Mayaguez — 6965 12000 3121 81 185232185416 226 174 198 20 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201518 ROK MLEAZL Giants — 197180 31410 11602 112 172228206434 33237 306 187 13 — — — — — —
201619 A MLEAugusta GreenJackets — 500466 881755 181406 115 189229279508 90243 284 216 32 — — — — — —
201720 A+ MLESan Jose Giants — 470440 842035 241323 64 191238284522 93255 285 229 41 — — — — — —
201821 A+ MLESan Jose Giants — 554518 11626213 201698 114 224264357621 133295 314 264 65 — — — — — —
201922 AA MLERichmond Flying Squirrels — 550505 9616210 351332 2713 190245289534 99230 246 236 46 — — — — — —
202124 AA MLEMississippi Braves — 255237 381008 14921 31 160210304514 143214 365 225 38 — — — — — —
202225 AA MLEMississippi Braves — 379342 671927 331043 175 196272325597 129256 279 260 62 — — — — — —
201518 ROK MLEAZL Giants — 197180 31410 11602 112 172228206434 33254 306 187 13 — — — — — —
201518 ROK RAWAZL Giants — 197174 38510 17422 112 218295259554 40284 219 255 13 — — — — — —
201619 A MLEAugusta GreenJackets — 500465 881755 181406 115 189229280509 90255 284 216 32 — — — — — —
201619 A RAWAugusta GreenJackets — 500457 1022055 261076 115 223274322596 98277 215 264 32 — — — — — —
201720 A+ MLESan Jose Giants — 470439 842035 241323 64 191238285523 93260 285 229 41 — — — — — —
201720 A+ RAWSan Jose Giants — 470431 982546 311003 64 227283346629 118281 217 281 41 — — — — — —
201821 A+ MLESan Jose Giants — 554518 11626213 201698 114 224264357621 133304 314 264 65 — — — — — —
201821 A+ RAWSan Jose Giants — 554511 14135214 271218 114 276322434757 159335 225 331 65 — — — — — —
201922 AA MLE2 teams — 583536 10217310 371412 2813 190245289534 99236 246 236 46 — — — — — —
201922 AA RAW2 teams — 583523 11219312 501202 2813 214285331616 117253 219 276 46 — — — — — —
202124 AA MLEMississippi Braves — 255237 381008 14921 31 160210304514 143214 365 225 38 — — — — — —
202124 AA RAWMississippi Braves — 255229 461309 22751 31 201274376649 175250 299 287 38 — — — — — —
202225 AA MLEMississippi Braves — 379342 671927 331043 175 196272325597 129260 279 260 62 — — — — — —
202225 AA RAWMississippi Braves — 379327 772228 48853 175 235339388727 153295 2213 329 62 — — — — — —
202528 INTL MLEIndios de Mayaguez — 6965 12000 3121 81 185232185416 226 174 — — — — — — — —
202528 INTL RAWIndios de Mayaguez — 6965 12000 3121 81 185232185416 226 174 198 20 — — — — — —
201518 ROK MLEAZL Giants — 197182 31410 11602 112 170228203431 33237 306 187 13 — — — — — —
201619 A MLEAugusta GreenJackets — 500472 881755 181406 115 186229275504 89243 284 216 32 — — — — — —
201720 A+ MLESan Jose Giants — 470440 842035 241323 64 191238284522 93255 285 229 41 — — — — — —
201821 A+ MLESan Jose Giants — 554521 11626213 201698 114 223264355619 132295 314 264 65 — — — — — —
201922 AA MLE2 teams — 583539 10217310 371412 2813 189245288533 98230 246 236 46 — — — — — —
202124 AA MLEMississippi Braves — 255238 381008 14921 31 160210303513 143214 365 225 38 — — — — — —
202225 AA MLEMississippi Braves — 379340 671927 331043 175 197272326599 129256 279 260 62 — — — — — —
▸ Career Totals
Career— MLE — 30072782 5381131648 16085026 9535 193244297541 104257 285 230 42 -208 +5 +0 +11 +65 -12.9
/ 162G— MLE — 650601 11524310 351846 218 191243291534 100255 285 230 42 -45 +1 +0 +2 +14 -2.8

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.

2022 AAMississippi Braves · 379 PAwOBA .320 → .260 (−60)K% 22.4% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.43%÷1.000×1.220——27.36%
BB% (unintentional) /PA12.66%÷0.985×0.680—×0.9888.64%
HBP% /PA0.79%—×0.840—×0.9880.66%
Singles /BIP18.60%÷1.020×0.920×0.983×0.98816.29%
Doubles /BIP9.09%÷1.032×0.910×0.983×0.9887.79%
Triples /BIP0.83%÷0.900×0.880×0.983×0.9880.78%
Home runs /BIP3.31%÷0.927×0.800—×0.9882.82%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 104, 2B 106, 3B 80, K 100, BB 97 — 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 ×0.983.

Result: wOBA .320 → .260; ISO .153 → .131; BABIP .295 → .256. 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 AAMississippi Braves · 255 PAwOBA .283 → .225 (−58)K% 29.4% → 36.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷0.998×1.220——35.96%
BB% (unintentional) /PA8.63%÷1.106×0.690—×0.9985.37%
HBP% /PA0.39%—×0.850—×0.9980.33%
Singles /BIP15.58%÷1.023×0.940×0.956×0.99813.67%
Doubles /BIP8.44%÷0.999×0.870×0.956×0.9987.01%
Triples /BIP0.00%÷0.900×0.920×0.956×0.9980.00%
Home runs /BIP5.84%÷0.861×0.780—×0.9985.28%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 105, 2B 100, 3B 80, K 100, BB 121 — 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 ×0.956.

Result: wOBA .283 → .225; ISO .175 → .148; BABIP .250 → .214. 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 AARichmond Flying Squirrels · 550 PAwOBA .274 → .236 (−38)K% 19.3% → 24.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.27%÷0.975×1.220——24.11%
BB% (unintentional) /PA8.91%÷1.011×0.700—×1.0276.33%
HBP% /PA0.36%—×0.850—×1.0270.32%
Singles /BIP19.22%÷1.020×0.970×0.950×1.02717.82%
Doubles /BIP4.68%÷0.916×0.860×0.950×1.0274.28%
Triples /BIP0.78%÷1.147×0.950×0.950×1.0270.63%
Home runs /BIP2.86%÷0.890×0.780—×1.0272.57%

Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .274 → .236; ISO .116 → .103; BABIP .251 → .230. 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+San Jose Giants · 554 PAwOBA .324 → .264 (−59)K% 21.8% → 30.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.84%÷0.959×1.340——30.52%
BB% (unintentional) /PA4.87%÷0.971×0.710—×1.0123.61%
HBP% /PA1.44%—×0.790—×1.0121.15%
Singles /BIP23.08%÷0.987×0.910×0.974×1.01220.98%
Doubles /BIP8.97%÷0.991×0.820×0.974×1.0127.32%
Triples /BIP0.51%÷0.900×0.760×0.974×1.0120.43%
Home runs /BIP3.59%÷0.924×0.920—×1.0123.62%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — 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 ×0.974.

Result: wOBA .324 → .264; ISO .159 → .133; BABIP .335 → .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).

2017 A+San Jose Giants · 470 PAwOBA .274 → .229 (−45)K% 21.3% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.28%÷1.018×1.340——28.00%
BB% (unintentional) /PA6.60%÷0.968×0.710—×1.0274.97%
HBP% /PA0.64%—×0.790—×1.0270.52%
Singles /BIP19.03%÷0.990×0.910×0.996×1.02717.89%
Doubles /BIP7.55%÷1.008×0.820×0.996×1.0276.28%
Triples /BIP1.21%÷0.900×0.760×0.996×1.0271.04%
Home runs /BIP1.81%÷1.010×0.920—×1.0271.70%

Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 98, 2B 102, 3B 80, K 104, BB 94 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .274 → .229; ISO .118 → .098; BABIP .281 → .255. 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 AAugusta GreenJackets · 500 PAwOBA .259 → .216 (−43)K% 21.4% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.40%÷1.025×1.340——27.99%
BB% (unintentional) /PA5.20%÷1.020×0.660—×1.0303.46%
HBP% /PA1.20%—×0.770—×1.0300.95%
Singles /BIP20.57%÷1.054×0.920×0.968×1.03017.91%
Doubles /BIP5.71%÷0.944×0.820×0.968×1.0304.95%
Triples /BIP1.43%÷0.919×0.940×0.968×1.0301.46%
Home runs /BIP1.43%÷0.834×0.820—×1.0301.45%

Factors used: league row SAL. Park (home-season share, regressed): HR 67, 1B 111, 2B 89, 3B 84, K 105, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .259 → .216; ISO .098 → .090; BABIP .277 → .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).

2015 ROKAZL Giants · 197 PAwOBA .252 → .187 (−65)K% 21.3% → 30.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.32%÷1.000×1.440——30.70%
BB% (unintentional) /PA8.63%÷1.000×0.620—×1.0085.39%
HBP% /PA1.02%—×0.720—×1.0080.74%
Singles /BIP24.24%÷1.000×0.820×1.031×1.00820.64%
Doubles /BIP3.79%÷1.000×0.720×1.031×1.0082.83%
Triples /BIP0.76%÷1.000×0.720×1.031×1.0080.57%
Home runs /BIP0.00%÷1.000×0.780—×1.0080.00%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .252 → .187; ISO .040 → .028; BABIP .284 → .237. 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 — .