Jordan Pearce

Pos3B
B/TL/R
Born1996-06-14
Age (2027)31
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201721ROKGCL Tigers We…45.342/.419/.5002091—.275/.326/.425
201822ADET490.220/.328/.3106240—.177/.255/.247
201923A+/A/ROK2 orgs363.214/.351/.2944344—.168/.276/.241
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)
201721 ROKGCL Tigers West — 4538 13002 570 01 342419500919 158367 1611 391 91 — — — — — —
201822 AWest Michigan Whitecaps — 490413 911906 65941 20 220328310638 90265 1913 291 40 — — — — — —
201923 A+Lakeland Flying Tigers — 8873 15601 11213 12 205333329662 123269 2412 306 53 — — — — — —
201923 AWest Michigan Whitecaps — 192166 36312 23423 01 217323283606 66279 2212 287 36 — — — — — —
201923 ROKGCL Tigers West — 8360 13101 18115 20 217434283717 67250 1322 356 55 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201721 ROK MLEGCL Tigers West — 4540 11002 3100 01 275326425751 150292 227 302 91 — — — — — —
201822 A MLEWest Michigan Whitecaps — 490434 771505 441321 20 177255247501 69225 279 227 40 — — — — — —
201923 A+ MLELakeland Flying Tigers — 8875 12501 9303 12 160276267543 107243 3410 247 53 — — — — — —
201923 A MLEWest Michigan Whitecaps — 192173 30312 16543 01 173255237492 64237 288 221 36 — — — — — —
201923 ROK MLEGCL Tigers West — 8367 11101 11165 20 164325224549 60195 1913 250 55 — — — — — —
201721 ROK MLEGCL Tigers West — 4540 11002 3100 01 275326425751 150310 227 302 91 — — — — — —
201721 ROK RAWGCL Tigers West — 4538 13002 570 01 342419500919 158367 1611 391 91 — — — — — —
201822 A MLEWest Michigan Whitecaps — 490434 771505 441321 20 177255247501 69236 279 227 40 — — — — — —
201822 A RAWWest Michigan Whitecaps — 490413 911906 65941 20 220328310638 90265 1913 291 40 — — — — — —
201923 A MLE3 teams — 363315 52813 369911 33 165273225499 60229 2710 234 44 — — — — — —
201923 A RAW3 teams — 363299 641014 527411 33 214351294645 80270 2014 307 44 — — — — — —
201721 ROK MLEGCL Tigers West — 4542 11002 3100 01 262326405730 143292 227 302 91 — — — — — —
201822 A MLEWest Michigan Whitecaps — 490442 771505 441321 20 174255242497 68225 279 227 40 — — — — — —
201923 A MLE3 teams — 363313 52813 369911 33 166273227500 61229 2710 234 44 — — — — — —
▸ Career Totals
Career— MLE — 898789 14023110 8324112 54 177266247513 70237 279 234 44 -60 -1 +0 +3 +19 -3.8
/ 162G— MLE — 650571 1021717 601749 43 179267249516 70239 279 234 44 -43 -0 +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.

2019 AWest Michigan Whitecaps · 192 PAwOBA .280 → .221 (−59)K% 21.9% → 28.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.88%÷1.063×1.360——27.99%
BB% (unintentional) /PA11.98%÷0.974×0.690—×0.9908.40%
HBP% /PA1.56%—×0.780—×0.9901.21%
Singles /BIP24.19%÷1.025×0.920×0.950×0.99020.43%
Doubles /BIP2.42%÷0.885×0.830×0.950×0.9902.13%
Triples /BIP0.81%÷0.904×0.910×0.950×0.9900.76%
Home runs /BIP1.61%÷0.895×0.800—×0.9901.43%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 77, 3B 81, K 113, BB 95 — 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 ×0.950.

Result: wOBA .280 → .221; ISO .066 → .057; BABIP .279 → .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).

2019 A+Lakeland Flying Tigers · 88 PAwOBA .302 → .247 (−55)K% 23.9% → 33.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.86%÷1.005×1.420——33.72%
BB% (unintentional) /PA12.50%÷0.958×0.750—×0.9989.77%
HBP% /PA3.41%—×0.930—×0.9983.16%
Singles /BIP15.38%÷1.026×0.920—×0.99813.77%
Doubles /BIP11.54%÷1.037×0.960—×0.99810.66%
Triples /BIP0.00%÷1.004×0.810—×0.9980.00%
Home runs /BIP1.92%÷0.963×0.880—×0.9981.75%

Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 105, 2B 107, 3B 101, K 101, BB 92 — 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).

Result: wOBA .302 → .247; ISO .123 → .102; BABIP .269 → .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).

2019 ROKGCL Tigers West · 83 PAwOBA .349 → .250 (−99)K% 13.3% → 19.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.25%÷1.000×1.440——19.08%
BB% (unintentional) /PA21.69%÷1.000×0.620—×0.96512.98%
HBP% /PA6.02%—×0.720—×0.9654.19%
Singles /BIP22.45%÷1.000×0.820—×0.96517.76%
Doubles /BIP2.04%÷1.000×0.720—×0.9651.42%
Triples /BIP0.00%÷1.000×0.720—×0.9650.00%
Home runs /BIP2.04%÷1.000×0.780—×0.9651.54%

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 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .349 → .250; ISO .067 → .053; BABIP .250 → .195. 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 AWest Michigan Whitecaps · 490 PAwOBA .287 → .227 (−60)K% 19.2% → 26.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.18%÷0.971×1.360——26.86%
BB% (unintentional) /PA12.86%÷0.988×0.690——8.98%
HBP% /PA0.20%—×0.780——0.16%
Singles /BIP20.69%÷1.017×0.920×0.966—18.07%
Doubles /BIP5.96%÷1.024×0.830×0.966—4.66%
Triples /BIP0.00%÷1.045×0.910×0.966—0.00%
Home runs /BIP1.88%÷0.942×0.800——1.60%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — 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 ×0.966.

Result: wOBA .287 → .227; ISO .090 → .072; BABIP .265 → .225. 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 ROKGCL Tigers West · 45 PAwOBA .390 → .302 (−87)K% 15.6% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.56%÷1.000×1.440——22.40%
BB% (unintentional) /PA11.11%÷1.000×0.620—×0.9856.79%
HBP% /PA0.00%—×0.720—×0.9850.00%
Singles /BIP35.48%÷1.000×0.820—×0.98528.66%
Doubles /BIP0.00%÷1.000×0.720—×0.9850.00%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP6.45%÷1.000×0.780—×0.9854.96%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .390 → .302; ISO .158 → .125; BABIP .367 → .292. 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).