Najee Gaskins

PosCF
B/TR/R
Born1997-09-07
Age (2027)29
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2022
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201921ROKAZL Giants Or…134.340/.474/.45301989—.246/.353/.316
202123A/ROK2 orgs125.261/.309/.3913325—.187/.220/.280
202224A+/ASF261.270/.386/.3511764—.226/.319/.294
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)
201921 ROKAZL Giants Orange — 134106 36820 20197 192 340474453927 113414 1415 419 89 — — — — — —
202123 ASan Jose Giants — 6257 16301 2142 10 281328386714 105357 233 317 50 — — — — — —
202123 ROKACL Giants Black — 6358 14112 4200 22 241290397687 155324 326 300 1 — — — — — —
202224 A+Eugene Emeralds — 11294 25510 9386 31 266367340707 74431 348 321 56 — — — — — —
202224 ASan Jose Giants — 149117 32701 18387 42 274401359760 85388 2612 339 70 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201921 ROK MLEAZL Giants Orange — 134114 28610 12277 192 246353316669 70320 209 300 89 — — — — — —
202123 A MLESan Jose Giants — 6258 13201 1202 10 224262310573 86319 322 242 50 — — — — — —
202123 ROK MLEACL Giants Black — 6360 9111 2300 22 150177250427 100240 483 169 1 — — — — — —
202224 A+ MLEEugene Emeralds — 11297 21410 6506 31 216303278581 62381 455 251 56 — — — — — —
202224 A MLESan Jose Giants — 149124 29601 11557 42 234331306637 73353 377 271 70 — — — — — —
201921 ROK MLEAZL Giants Orange — 134114 28610 12277 192 246353316669 70322 209 300 89 — — — — — —
201921 ROK RAWAZL Giants Orange — 134106 36820 20197 192 340474453927 113414 1415 419 89 — — — — — —
202123 ROK MLE2 teams — 125118 23312 3502 32 195228288516 93313 402 205 25 — — — — — —
202123 ROK RAW2 teams — 125115 30413 6342 32 261309391700 130342 275 308 25 — — — — — —
202224 A MLE2 teams — 261220 491011 1810513 73 223319291610 68407 407 262 64 — — — — — —
202224 A RAW2 teams — 261211 571211 277613 73 270386351737 81406 2910 331 64 — — — — — —
201921 ROK MLEAZL Giants Orange — 134114 28610 12277 192 246353316669 70320 209 300 89 — — — — — —
202123 ROK MLE2 teams — 125119 23312 3502 32 193228286513 92279 402 205 25 — — — — — —
202224 A MLE2 teams — 261228 491011 1810513 73 215319281599 66365 407 262 64 — — — — — —
▸ Career Totals
Career— MLE — 520452 1001933 3318222 297 221306296602 75357 356 258 61 -24 +3 +0 +2 +11 -0.8
/ 162G— MLE — 650565 1262444 4122828 369 223308301608 78360 356 258 61 -30 +4 +0 +2 +14 -1.0

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.

2022 ASan Jose Giants · 149 PAwOBA .335 → .271 (−65)K% 25.5% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA25.50%÷0.943×1.360——36.77%
BB% (unintentional) /PA12.08%÷1.055×0.690—×0.9707.66%
HBP% /PA4.70%—×0.780—×0.9703.55%
Singles /BIP30.38%÷0.983×0.920×1.025×0.97028.26%
Doubles /BIP8.86%÷0.957×0.830×1.025×0.9707.64%
Triples /BIP0.00%÷0.900×0.910×1.025×0.9700.00%
Home runs /BIP1.27%÷1.063×0.800—×0.9700.92%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 91, 3B 80, K 89, BB 111 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .335 → .271; ISO .085 → .069; BABIP .388 → .353. 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).

2022 A+Eugene Emeralds · 112 PAwOBA .319 → .251 (−68)K% 33.9% → 44.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.93%÷1.029×1.350——44.50%
BB% (unintentional) /PA8.04%÷0.978×0.710—×0.9785.71%
HBP% /PA5.36%—×0.810—×0.9784.24%
Singles /BIP33.93%÷0.989×0.910×0.999×0.97830.49%
Doubles /BIP8.93%÷0.953×0.830×0.999×0.9787.60%
Triples /BIP1.79%÷0.930×0.820×0.999×0.9781.54%
Home runs /BIP0.00%÷1.120×0.830—×0.9780.00%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 98, 2B 91, 3B 86, K 106, BB 96 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .319 → .251; ISO .074 → .058; BABIP .431 → .381. 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).

2021 ROKACL Giants Black · 63 PAwOBA .290 → .169 (−121)K% 31.7% → 48.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.75%÷0.950×1.440——48.09%
BB% (unintentional) /PA4.76%÷0.958×0.620—×0.9552.94%
HBP% /PA0.00%—×0.720—×0.9550.00%
Singles /BIP26.32%÷1.003×0.820—×0.95520.55%
Doubles /BIP2.63%÷1.069×0.720—×0.9551.69%
Triples /BIP2.63%÷1.045×0.720—×0.9551.73%
Home runs /BIP5.26%÷1.222×0.780—×0.9553.21%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 144, 1B 101, 2B 114, 3B 109, K 90, BB 92 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .290 → .169; ISO .155 → .079; BABIP .324 → .240. 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).

2021 ASan Jose Giants · 62 PAwOBA .308 → .242 (−66)K% 22.6% → 32.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.58%÷0.959×1.360——32.01%
BB% (unintentional) /PA3.23%÷1.203×0.690—×0.9801.81%
HBP% /PA3.23%—×0.780—×0.9802.47%
Singles /BIP27.91%÷0.977×0.920—×0.98025.77%
Doubles /BIP6.98%÷1.014×0.830—×0.9805.60%
Triples /BIP0.00%÷1.098×0.910—×0.9800.00%
Home runs /BIP2.33%÷1.008×0.800—×0.9801.81%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 103, 3B 120, K 92, BB 141 — 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).

Result: wOBA .308 → .242; ISO .105 → .076; BABIP .357 → .319. 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 ROKAZL Giants Orange · 134 PAwOBA .409 → .300 (−109)K% 14.2% → 20.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.18%÷1.000×1.440——20.42%
BB% (unintentional) /PA14.93%÷1.000×0.620—×0.9759.02%
HBP% /PA5.22%—×0.720—×0.9753.67%
Singles /BIP29.89%÷1.000×0.820—×0.97523.89%
Doubles /BIP9.20%÷1.000×0.720—×0.9756.46%
Triples /BIP2.30%÷1.000×0.720—×0.9751.61%
Home runs /BIP0.00%÷1.000×0.780—×0.9750.00%

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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .409 → .300; ISO .113 → .082; BABIP .414 → .320. 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).