Reggie Pruitt

PosCF
B/TR/R
Born1997-05-07
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201821AOAK346.211/.304/.30433725—.155/.230/.217
201922A+/A2 orgs465.265/.345/.36314846—.200/.260/.270
202124AATOR213.164/.255/.2432124—.124/.198/.175
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 ROKGCL Blue Jays — 144121 27610 12374 152 223314289603 66314 268 269 23 — — — — — —
201619 ROKBluefield Blue Jays — 197173 41310 13437 162 237316266582 29315 227 270 26 — — — — — —
201821 ALansing Lugnuts — 346299 631333 331037 379 211304304608 94305 3010 277 25 — — — — — —
201922 A+Dunedin Blue Jays — 8174 17520 7230 80 230296351648 122333 289 291 29 — — — — — —
201922 ALansing Lugnuts — 384337 921281 401013 4013 273355365720 92382 2610 325 49 — — — — — —
202124 AANew Hampshire Fisher Cats — 213189 31712 18875 126 164255243498 79290 418 235 4 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201518 ROK MLEGCL Blue Jays — 144125 22410 8534 152 176248224472 48266 376 202 23 — — — — — —
201619 ROK MLEBluefield Blue Jays — 197178 34210 8617 162 191254213467 22277 314 207 26 — — — — — —
201821 A MLELansing Lugnuts — 346309 48922 231427 379 155230217447 61262 417 205 25 — — — — — —
201922 A+ MLEDunedin Blue Jays — 8176 12410 5340 80 158210237447 79301 426 211 29 — — — — — —
201922 A MLELansing Lugnuts — 384350 73961 271443 4013 209271277548 69336 387 240 49 — — — — — —
202124 AA MLENew Hampshire Fisher Cats — 213194 24511 131075 126 124198175373 52258 506 174 4 — — — — — —
201518 ROK MLEGCL Blue Jays — 144125 22410 8534 152 176248224472 48297 376 202 23 — — — — — —
201518 ROK RAWGCL Blue Jays — 144121 27610 12374 152 223314289603 66314 268 269 23 — — — — — —
201619 ROK MLEBluefield Blue Jays — 197178 34210 8617 162 191254213467 22291 314 207 26 — — — — — —
201619 ROK RAWBluefield Blue Jays — 197173 41310 13437 162 237316266582 29315 227 270 26 — — — — — —
201821 A MLELansing Lugnuts — 346309 48922 231427 379 155230217447 61272 417 205 25 — — — — — —
201821 A RAWLansing Lugnuts — 346299 631333 331037 379 211304304608 94305 3010 277 25 — — — — — —
201922 A MLE2 teams — 465425 851371 331783 4813 200262271533 71337 387 235 45 — — — — — —
201922 A RAW2 teams — 465411 10917101 471243 4813 265345363707 97374 2710 319 45 — — — — — —
202124 AA MLENew Hampshire Fisher Cats — 213194 24511 131075 126 124198175373 52267 506 174 4 — — — — — —
202124 AA RAWNew Hampshire Fisher Cats — 213189 31712 18875 126 164255243498 79290 418 235 4 — — — — — —
201518 ROK MLEGCL Blue Jays — 144131 22410 8534 152 168248214462 46266 376 202 23 — — — — — —
201619 ROK MLEBluefield Blue Jays — 197180 34210 8617 162 189254211465 22277 314 207 26 — — — — — —
201821 A MLELansing Lugnuts — 346313 48922 231427 379 153230214444 61262 417 205 25 — — — — — —
201922 A MLE2 teams — 465426 851371 331783 4813 200262270532 70330 387 235 45 — — — — — —
202124 AA MLENew Hampshire Fisher Cats — 213193 24511 131075 126 124198176374 52258 506 174 4 — — — — — —
▸ Career Totals
Career— MLE — 13651231 21333124 8554126 12832 173241229471 56301 406 210 29 -116 +13 +0 +5 +30 -7.0
/ 162G— MLE — 650586 1021662 4025812 6115 174241232473 58303 406 210 29 -55 +6 +0 +2 +14 -3.3

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.

2021 AANew Hampshire Fisher Cats · 213 PAwOBA .229 → .174 (−55)K% 40.8% → 50.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA40.85%÷0.990×1.220——50.31%
BB% (unintentional) /PA8.45%÷0.966×0.690—×1.0126.11%
HBP% /PA2.35%—×0.850—×1.0122.02%
Singles /BIP20.59%÷1.022×0.940×0.977×1.01218.73%
Doubles /BIP6.86%÷1.039×0.870×0.977×1.0125.68%
Triples /BIP0.98%÷0.900×0.920×0.977×1.0120.99%
Home runs /BIP1.96%÷0.973×0.780—×1.0121.59%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 104, 2B 108, 3B 80, K 98, 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 ×0.977.

Result: wOBA .229 → .174; ISO .079 → .058; BABIP .290 → .258. 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 ALansing Lugnuts · 384 PAwOBA .320 → .240 (−79)K% 26.3% → 37.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.30%÷0.950×1.360——37.65%
BB% (unintentional) /PA10.42%÷1.016×0.690——7.07%
HBP% /PA0.78%—×0.780——0.61%
Singles /BIP30.08%÷0.972×0.920×0.950—27.06%
Doubles /BIP5.08%÷0.979×0.830×0.950—4.10%
Triples /BIP3.39%÷1.050×0.910×0.950—2.79%
Home runs /BIP0.42%÷1.113×0.800——0.30%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 94, 2B 96, 3B 110, K 90, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .320 → .240; ISO .092 → .066; BABIP .382 → .336. 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 A+Dunedin Blue Jays · 81 PAwOBA .284 → .211 (−73)K% 28.4% → 41.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.40%÷0.966×1.420——41.74%
BB% (unintentional) /PA8.64%÷0.993×0.750—×1.0126.61%
HBP% /PA0.00%—×0.930—×1.0120.00%
Singles /BIP19.61%÷1.029×0.920—×1.01217.75%
Doubles /BIP9.80%÷0.992×0.960—×1.0129.60%
Triples /BIP3.92%÷1.150×0.810—×1.0122.80%
Home runs /BIP0.00%÷1.194×0.880—×1.0120.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — 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).

Result: wOBA .284 → .211; ISO .122 → .086; BABIP .333 → .301. 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 ALansing Lugnuts · 346 PAwOBA .273 → .205 (−68)K% 29.8% → 41.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.77%÷0.989×1.360——40.95%
BB% (unintentional) /PA9.54%÷0.995×0.690—×1.0156.71%
HBP% /PA2.02%—×0.780—×1.0151.60%
Singles /BIP22.45%÷1.018×0.920×0.974×1.01520.05%
Doubles /BIP6.63%÷1.033×0.830×0.974×1.0155.26%
Triples /BIP1.53%÷1.150×0.910×0.974×1.0151.20%
Home runs /BIP1.53%÷1.034×0.800—×1.0151.20%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 107, 3B 130, K 98, BB 99 — 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 ×0.974.

Result: wOBA .273 → .205; ISO .094 → .066; BABIP .305 → .262. 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 ROKBluefield Blue Jays · 197 PAwOBA .263 → .207 (−57)K% 21.8% → 31.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.83%÷1.000×1.420——30.99%
BB% (unintentional) /PA6.60%÷1.000×0.640—×1.0084.26%
HBP% /PA3.55%—×0.740—×1.0082.65%
Singles /BIP28.46%÷1.000×0.840×1.050×1.00825.29%
Doubles /BIP2.31%÷1.000×0.740×1.050×1.0081.81%
Triples /BIP0.77%÷1.000×0.740×1.050×1.0080.60%
Home runs /BIP0.00%÷1.000×0.800—×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 ×1.050.

Result: wOBA .263 → .207; ISO .029 → .021; BABIP .315 → .277. 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 ROKGCL Blue Jays · 144 PAwOBA .266 → .202 (−64)K% 25.7% → 37.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.69%÷1.000×1.440——37.00%
BB% (unintentional) /PA8.33%÷1.000×0.620—×1.0225.28%
HBP% /PA2.78%—×0.720—×1.0222.04%
Singles /BIP23.81%÷1.000×0.820×1.045×1.02220.87%
Doubles /BIP7.14%÷1.000×0.720×1.045×1.0225.50%
Triples /BIP1.19%÷1.000×0.720×1.045×1.0220.92%
Home runs /BIP0.00%÷1.000×0.780—×1.0220.00%

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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .266 → .202; ISO .066 → .049; BABIP .314 → .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).