Zeek White

PosCF
B/TR/R
Born1997-01-07
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2019
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201720ROKBillings Must…119.206/.308/.333287—.120/.188/.185
201821ROKBillings Must…219.270/.361/.43451337—.173/.245/.269
201922ACIN22.045/.045/.04501-98—.045/.045/.045
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 Marlins — 132126 37720 3442 130 294321381702 87451 332 312 12 — — — — — —
201720 ROKBillings Mustangs — 119102 21322 14391 82 206308333641 127306 3312 289 7 — — — — — —
201821 ROKBillings Mustangs — 219189 511035 21636 132 270361434795 164377 2910 352 37 — — — — — —
201922 ADayton Dragons — 2222 1000 0100 10 45454591 83 450 41 -98 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201518 ROK MLEGCL Marlins — 132127 23410 2632 130 181206228434 47349 482 186 12 — — — — — —
201720 ROK MLEBillings Mustangs — 119108 13211 8561 82 120188185373 65227 477 178 7 — — — — — —
201821 ROK MLEBillings Mustangs — 219197 34623 13916 132 173245269514 96280 426 223 37 — — — — — —
201922 A MLEDayton Dragons — 2222 1000 0140 10 45454591 74 640 23 -98 — — — — — —
201518 ROK MLEGCL Marlins — 132127 23410 2632 130 181206228434 47359 482 186 12 — — — — — —
201518 ROK RAWGCL Marlins — 132126 37720 3442 130 294321381702 87451 332 312 12 — — — — — —
201720 ROK MLEBillings Mustangs — 119108 13211 8561 82 120188185373 65231 477 178 7 — — — — — —
201720 ROK RAWBillings Mustangs — 119102 21322 14391 82 206308333641 127306 3312 289 7 — — — — — —
201821 ROK MLEBillings Mustangs — 219197 34623 13916 132 173245269514 96298 426 223 37 — — — — — —
201821 ROK RAWBillings Mustangs — 219189 511035 21636 132 270361434795 164377 2910 352 37 — — — — — —
201922 A MLEDayton Dragons — 2222 1000 0140 10 45454591 125 640 23 -98 — — — — — —
201922 A RAWDayton Dragons — 2222 1000 0100 10 45454591 83 450 41 -98 — — — — — —
201518 ROK MLEGCL Marlins — 132127 23410 2632 130 181206228434 47349 482 186 12 — — — — — —
201720 ROK MLEBillings Mustangs — 119109 13211 8561 82 119188183372 64227 477 178 7 — — — — — —
201821 ROK MLEBillings Mustangs — 219198 34623 13916 132 172245268513 96280 426 223 37 — — — — — —
201922 A MLEDayton Dragons — 2222 1000 0140 10 45454591 74 640 23 -98 — — — — — —
▸ Career Totals
Career— MLE — 492454 711244 232249 354 156212227439 70294 465 193 17 -49 +5 +0 +2 +11 -3.1
/ 162G— MLE — 650600 931655 3029612 465 155210223434 68291 465 193 17 -64 +7 +0 +2 +14 -4.1

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.

2019 ADayton Dragons · 22 PAwOBA .040 → .023 (−17)K% 45.5% → 64.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA45.45%÷0.953×1.360——64.88%
BB% (unintentional) /PA0.00%÷1.044×0.690——0.00%
HBP% /PA0.00%—×0.780——0.00%
Singles /BIP8.33%÷1.033×0.920——7.42%
Doubles /BIP0.00%÷0.950×0.830——0.00%
Triples /BIP0.00%÷1.024×0.910——0.00%
Home runs /BIP0.00%÷0.950×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 107, 2B 90, 3B 105, K 91, BB 109 — 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).

Result: wOBA .040 → .023; ISO .000 → .000; BABIP .083 → .074. 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 ROKBillings Mustangs · 219 PAwOBA .344 → .223 (−121)K% 28.8% → 41.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.77%÷1.000×1.440——41.42%
BB% (unintentional) /PA9.59%÷1.000×0.610—×0.9855.76%
HBP% /PA2.74%—×0.720—×0.9851.94%
Singles /BIP26.19%÷1.000×0.820×0.962×0.98520.35%
Doubles /BIP7.94%÷1.000×0.720×0.962×0.9855.42%
Triples /BIP2.38%÷1.000×0.720×0.962×0.9851.62%
Home runs /BIP3.97%÷1.000×0.750—×0.9852.93%

Factors used: league row PIO. 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .344 → .223; ISO .164 → .103; BABIP .377 → .280. 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 ROKBillings Mustangs · 119 PAwOBA .285 → .178 (−106)K% 32.8% → 47.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.77%÷1.000×1.440——47.19%
BB% (unintentional) /PA11.76%÷1.000×0.610—×0.9957.14%
HBP% /PA0.84%—×0.720—×0.9950.60%
Singles /BIP22.22%÷1.000×0.820×0.950×0.99517.22%
Doubles /BIP4.76%÷1.000×0.720×0.950×0.9953.24%
Triples /BIP3.17%÷1.000×0.720×0.950×0.9952.16%
Home runs /BIP3.17%÷1.000×0.750—×0.9952.37%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .285 → .178; ISO .127 → .077; BABIP .306 → .227. 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 Marlins · 132 PAwOBA .303 → .186 (−117)K% 33.3% → 48.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.33%÷1.000×1.440——48.00%
BB% (unintentional) /PA2.27%÷1.000×0.620—×1.0221.44%
HBP% /PA1.52%—×0.720—×1.0221.12%
Singles /BIP34.15%÷1.000×0.820×0.950×1.02227.20%
Doubles /BIP8.54%÷1.000×0.720×0.950×1.0225.97%
Triples /BIP2.44%÷1.000×0.720×0.950×1.0221.71%
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 ×0.950.

Result: wOBA .303 → .186; ISO .087 → .049; BABIP .451 → .349. 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).