Jake Thomas

PosLF
B/TL/R
Born1993-07-21
Age (2027)34
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2017
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201522ROKGCL Blue Jays193.263/.395/.3653654—.192/.289/.251
201623AOAK241.244/.326/.3150437—.191/.255/.250
201724AA/A+/A2 orgs338.255/.415/.33111071—.213/.325/.279
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)
201522 ROKGCL Blue Jays — 193156 41323 28346 62 263395365760 103317 1815 348 54 — — — — — —
201623 ALansing Lugnuts — 241213 52740 24492 43 244326315641 70315 2010 294 37 — — — — — —
201724 AANew Hampshire Fisher Cats — 4233 6200 980 00 182357242600 61240 1921 297 49 — — — — — —
201724 A+Dunedin Blue Jays — 132110 28501 21350 12 255374327701 73365 2716 326 59 — — — — — —
201724 ALansing Lugnuts — 164120 33620 40332 93 275463358821 83371 2024 384 86 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201522 ROK MLEGCL Blue Jays — 193167 32212 17496 62 192289251541 60248 259 248 54 — — — — — —
201623 A MLELansing Lugnuts — 241220 42540 17712 43 191255250505 59271 297 223 37 — — — — — —
201724 AA MLENew Hampshire Fisher Cats — 4236 6200 6100 00 167286222508 56221 2414 241 49 — — — — — —
201724 A+ MLEDunedin Blue Jays — 132117 25501 14490 12 214298282580 68352 3711 255 59 — — — — — —
201724 A MLELansing Lugnuts — 164134 30520 26472 93 224358291649 67325 2916 296 86 — — — — — —
201522 ROK MLEGCL Blue Jays — 193167 32212 17496 62 192289251541 60256 259 248 54 — — — — — —
201522 ROK RAWGCL Blue Jays — 193156 41323 28346 62 263395365760 103317 1815 348 54 — — — — — —
201623 A MLELansing Lugnuts — 241220 42540 17712 43 191255250505 59280 297 223 37 — — — — — —
201623 A RAWLansing Lugnuts — 241213 52740 24492 43 244326315641 70315 2010 294 37 — — — — — —
201724 A MLE3 teams — 338287 611121 461062 105 213325275601 63330 3114 273 71 — — — — — —
201724 A RAW3 teams — 338263 671321 70762 105 255415331746 76351 2221 350 71 — — — — — —
201522 ROK MLEGCL Blue Jays — 193168 32212 17496 62 190289250539 60248 259 248 54 — — — — — —
201623 A MLELansing Lugnuts — 241220 42540 17712 43 191255250505 59271 297 223 37 — — — — — —
201724 A MLE3 teams — 338287 611121 461062 105 213325275601 63323 3114 273 71 — — — — — —
▸ Career Totals
Career— MLE — 772674 1351873 8022610 2010 200295261556 61294 2910 251 56 -40 +0 +0 -8 +17 -3.2
/ 162G— MLE — 650567 1141563 671908 178 201293265558 63294 2910 251 56 -34 +0 +0 -7 +14 -2.7

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.

2017 ALansing Lugnuts · 164 PAwOBA .381 → .296 (−84)K% 20.1% → 28.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.12%÷0.960×1.360——28.51%
BB% (unintentional) /PA24.39%÷1.055×0.690—×0.98015.63%
HBP% /PA1.22%—×0.780—×0.9800.93%
Singles /BIP28.74%÷0.988×0.920×0.993×0.98026.02%
Doubles /BIP6.90%÷1.033×0.830×0.993×0.9805.39%
Triples /BIP2.30%÷1.150×0.910×0.993×0.9801.77%
Home runs /BIP0.00%÷0.894×0.800—×0.9800.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 98, 2B 107, 3B 130, K 92, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .381 → .296; ISO .083 → .067; BABIP .371 → .325. 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+Dunedin Blue Jays · 132 PAwOBA .319 → .255 (−64)K% 26.5% → 37.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA26.52%÷1.007×1.420——37.39%
BB% (unintentional) /PA15.91%÷1.118×0.750—×0.98810.55%
HBP% /PA0.00%—×0.930—×0.9880.00%
Singles /BIP29.33%÷1.002×0.920×1.045×0.98827.80%
Doubles /BIP6.67%÷0.940×0.960×1.045×0.9887.03%
Triples /BIP0.00%÷1.150×0.810×1.045×0.9880.00%
Home runs /BIP1.33%÷1.265×0.880—×0.9880.92%

Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .319 → .255; ISO .073 → .061; BABIP .365 → .352. 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 AANew Hampshire Fisher Cats · 42 PAwOBA .291 → .241 (−50)K% 19.0% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.05%÷1.007×1.220——23.09%
BB% (unintentional) /PA21.43%÷0.995×0.700—×1.01215.26%
HBP% /PA0.00%—×0.850—×1.0120.00%
Singles /BIP16.00%÷1.024×0.970—×1.01215.34%
Doubles /BIP8.00%÷1.024×0.860—×1.0126.80%
Triples /BIP0.00%÷0.900×0.950—×1.0120.00%
Home runs /BIP0.00%÷1.165×0.780—×1.0120.00%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — 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).

Result: wOBA .291 → .241; ISO .061 → .053; BABIP .240 → .221. 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 ALansing Lugnuts · 241 PAwOBA .288 → .223 (−64)K% 20.3% → 29.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.33%÷0.944×1.360——29.29%
BB% (unintentional) /PA9.96%÷0.970×0.690—×0.9907.01%
HBP% /PA0.83%—×0.780—×0.9900.64%
Singles /BIP25.00%÷1.044×0.920×0.981×0.99021.39%
Doubles /BIP4.27%÷0.982×0.830×0.981×0.9903.50%
Triples /BIP2.44%÷0.918×0.910×0.981×0.9902.35%
Home runs /BIP0.00%÷0.968×0.800—×0.9900.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 109, 2B 96, 3B 84, K 89, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .288 → .223; ISO .070 → .058; BABIP .315 → .271. 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 · 193 PAwOBA .342 → .248 (−94)K% 17.6% → 25.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.62%÷1.000×1.440——25.37%
BB% (unintentional) /PA14.51%÷1.000×0.620—×0.9758.77%
HBP% /PA3.11%—×0.720—×0.9752.18%
Singles /BIP27.05%÷1.000×0.820×1.001×0.97521.64%
Doubles /BIP2.46%÷1.000×0.720×1.001×0.9751.73%
Triples /BIP1.64%÷1.000×0.720×1.001×0.9751.15%
Home runs /BIP2.46%÷1.000×0.780—×0.9751.87%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .342 → .248; ISO .103 → .076; BABIP .317 → .248. 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).