Jabari Henry

PosLF
B/TR/R
Born1990-11-11
Age (2027)36
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201423A+High Desert M…511.291/.400/.584306102—.221/.313/.431
201524AAJackson Gener…337.170/.284/.34710637—.140/.225/.289
201625AASEA397.213/.299/.37815245—.171/.238/.300
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)
201221 ROKPulaski Mariners — 242207 561538 27463 52 271363488851 217306 1911 368 65 — — — — — —
201322 A+High Desert Mavericks — 123105 25524 16240 01 238339438777 200269 2013 340 52 — — — — — —
201322 AClinton LumberKings — 310257 691827 47493 96 268388436823 167304 1615 367 78 — — — — — —
201423 A+High Desert Mavericks — 511430 12526530 691099 69 291400584983 293324 2114 424 102 — — — — — —
201524 AAJackson Generals — 337288 4915310 44992 60 170284347632 177218 2913 285 37 — — — — — —
201625 AAArkansas Travelers — 397352 7511115 361107 28 213299378677 165262 289 304 45 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201221 ROK MLEPulaski Mariners — 242217 431126 17653 52 198266350616 152235 277 264 65 — — — — — —
201322 A+ MLEHigh Desert Mavericks — 123110 19413 11330 01 173248309557 136214 279 245 52 — — — — — —
201322 A MLEClinton LumberKings — 310273 591326 31683 96 216303344647 128256 2210 284 78 — — — — — —
201423 A+ MLEHigh Desert Mavericks — 511448 9919323 511589 69 221313431744 210279 3110 319 102 — — — — — —
201524 AA MLEJackson Generals — 337301 421239 311242 60 140225289514 150192 379 223 37 — — — — — —
201625 AA MLEArkansas Travelers — 397363 629112 251337 28 171238300538 129221 346 234 45 — — — — — —
201221 ROK MLEPulaski Mariners — 242217 431126 17653 52 198266350616 152247 277 264 65 — — — — — —
201221 ROK RAWPulaski Mariners — 242207 561538 27463 52 271363488851 217306 1911 368 65 — — — — — —
201322 A MLE2 teams — 433383 781739 421023 97 204287334622 131250 2410 273 71 — — — — — —
201322 A RAW2 teams — 433362 9423411 63733 97 260374436810 177294 1715 360 71 — — — — — —
201423 A+ MLEHigh Desert Mavericks — 511448 9919323 511589 69 221313431744 210283 3110 319 102 — — — — — —
201423 A+ RAWHigh Desert Mavericks — 511430 12526530 691099 69 291400584983 293324 2114 424 102 — — — — — —
201524 AA MLEJackson Generals — 337301 421239 311242 60 140225289514 150196 379 223 37 — — — — — —
201524 AA RAWJackson Generals — 337288 4915310 44992 60 170284347632 177218 2913 285 37 — — — — — —
201625 AA MLEArkansas Travelers — 397363 629112 251337 28 171238300538 129227 346 234 45 — — — — — —
201625 AA RAWArkansas Travelers — 397352 7511115 361107 28 213299378677 165262 289 304 45 — — — — — —
201221 ROK MLEPulaski Mariners — 242220 431126 17653 52 195266345611 150235 277 264 65 — — — — — —
201322 A MLE2 teams — 433385 781739 421023 97 203287332620 130244 2410 273 71 — — — — — —
201423 A+ MLEHigh Desert Mavericks — 511446 9919323 511589 69 222313433746 211279 3110 319 102 — — — — — —
201524 AA MLEJackson Generals — 337301 421239 311242 60 140225289514 150192 379 223 37 — — — — — —
201625 AA MLEArkansas Travelers — 397362 629112 251337 28 171238301539 130221 346 234 45 — — — — — —
▸ Career Totals
Career— MLE — 19201712 324681259 16658224 2826 189270346617 157245 309 267 67 -75 -5 +0 -21 +42 -6.0
/ 162G— MLE — 650580 11023420 561978 99 190270347617 157245 309 267 67 -26 -2 +0 -7 +14 -2.1

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.

2016 AAArkansas Travelers · 397 PAwOBA .297 → .234 (−63)K% 27.7% → 33.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.71%÷1.009×1.220——33.49%
BB% (unintentional) /PA9.07%÷0.979×0.700—×0.9886.40%
HBP% /PA1.76%—×0.870—×0.9881.52%
Singles /BIP19.83%÷0.995×0.920×0.950×0.98817.22%
Doubles /BIP4.55%÷0.975×0.840×0.950×0.9883.67%
Triples /BIP0.41%÷1.150×0.940×0.950×0.9880.32%
Home runs /BIP6.20%÷0.972×0.800—×0.9885.04%

Factors used: league row TL. Park (home-season share, regressed): HR 94, 1B 99, 2B 95, 3B 130, K 102, BB 96 — 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 ×0.950.

Result: wOBA .297 → .234; ISO .165 → .128; BABIP .262 → .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).

2015 AAJackson Generals · 337 PAwOBA .278 → .223 (−55)K% 29.4% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.38%÷0.973×1.220——36.83%
BB% (unintentional) /PA13.06%÷0.950×0.680—×0.9989.32%
HBP% /PA0.59%—×0.840—×0.9980.50%
Singles /BIP11.11%÷0.974×0.920×0.963×0.99810.09%
Doubles /BIP7.94%÷1.032×0.910×0.963×0.9986.73%
Triples /BIP1.59%÷0.900×0.880×0.963×0.9981.49%
Home runs /BIP5.29%÷0.890×0.800—×0.9984.75%

Factors used: league row SL. Park (home-season share, regressed): HR 78, 1B 95, 2B 106, 3B 80, K 95, BB 90 — 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 ×0.963.

Result: wOBA .278 → .223; ISO .177 → .149; BABIP .218 → .192. 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).

2014 A+High Desert Mavericks · 511 PAwOBA .414 → .319 (−95)K% 21.3% → 30.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.33%÷0.925×1.340——30.89%
BB% (unintentional) /PA13.50%÷0.961×0.710—×0.9889.85%
HBP% /PA1.76%—×0.790—×0.9881.37%
Singles /BIP19.94%÷0.981×0.910×1.000×0.98818.27%
Doubles /BIP8.10%÷1.015×0.820×1.000×0.9886.46%
Triples /BIP1.56%÷1.001×0.760×1.000×0.9881.17%
Home runs /BIP9.35%÷1.097×0.920—×0.9887.74%

Factors used: league row CAL. Park (home-season share, regressed): HR 119, 1B 96, 2B 103, 3B 100, K 85, BB 92 — 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 ×1.000.

Result: wOBA .414 → .319; ISO .293 → .220; BABIP .324 → .279. 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).

2013 AClinton LumberKings · 310 PAwOBA .361 → .284 (−77)K% 15.8% → 22.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.81%÷0.977×1.360——22.01%
BB% (unintentional) /PA14.84%÷1.013×0.690—×0.99010.01%
HBP% /PA0.97%—×0.780—×0.9900.75%
Singles /BIP20.19%÷0.971×0.920×0.955×0.99018.09%
Doubles /BIP8.65%÷1.049×0.830×0.955×0.9906.47%
Triples /BIP0.96%÷1.118×0.910×0.955×0.9900.74%
Home runs /BIP3.37%÷0.964×0.800—×0.9902.77%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 93, 1B 94, 2B 110, 3B 124, K 95, BB 103 — 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 ×0.955.

Result: wOBA .361 → .284; ISO .167 → .132; BABIP .304 → .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).

2013 A+High Desert Mavericks · 123 PAwOBA .334 → .245 (−88)K% 19.5% → 27.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.51%÷0.960×1.340——27.25%
BB% (unintentional) /PA13.01%÷1.037×0.710—×0.9988.89%
HBP% /PA0.00%—×0.790—×0.9980.00%
Singles /BIP17.28%÷1.038×0.910×0.950×0.99814.37%
Doubles /BIP6.17%÷0.990×0.820×0.950×0.9984.85%
Triples /BIP2.47%÷1.083×0.760×0.950×0.9981.64%
Home runs /BIP4.94%÷1.251×0.920—×0.9983.62%

Factors used: league row CAL. Park (home-season share, regressed): HR 150, 1B 108, 2B 98, 3B 117, K 92, BB 107 — 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 ×0.950.

Result: wOBA .334 → .245; ISO .200 → .142; BABIP .269 → .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).

2012 ROKPulaski Mariners · 242 PAwOBA .364 → .264 (−100)K% 19.0% → 27.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA19.01%÷1.000×1.420——26.99%
BB% (unintentional) /PA11.16%÷1.000×0.640—×0.9756.96%
HBP% /PA1.24%—×0.740—×0.9750.89%
Singles /BIP18.63%÷1.000×0.840×0.994×0.97515.17%
Doubles /BIP9.32%÷1.000×0.740×0.994×0.9756.68%
Triples /BIP1.86%÷1.000×0.740×0.994×0.9751.34%
Home runs /BIP4.97%÷1.000×0.800—×0.9753.88%

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 ×0.994.

Result: wOBA .364 → .264; ISO .217 → .160; BABIP .306 → .235. 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).