Danny Woodrow

PosCF
B/TL/R
Born1995-01-26
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
AALAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201823AA/A+/INTL2 orgs478.325/.384/.395335105—.306/.349/.373
201924AAADET426.274/.352/.34012369—.242/.302/.296
202126AADET124.179/.213/.231012—.169/.197/.220
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)
201621 ROKGCL Tigers West — 6957 20700 9121 50 351448474921 123435 1713 402 84 — — — — — —
201722 AWest Michigan Whitecaps — 541469 1271740 51932 3111 271345324669 53332 179 298 54 — — — — — —
201823 AAErie SeaWolves — 387342 1071333 31713 1913 313375395770 82380 188 339 101 — — — — — —
201823 A+Lakeland Flying Tigers — 2221 8100 150 41 381409429838 48500 235 378 91 — — — — — —
201823 INTLMesa Solar Sox — 6962 23100 6110 121 371426387814 16442 169 368 135 — — — — — —
201924 AAAToledo Mud Hens — 426376 1031251 41894 235 274352340692 66353 2110 315 69 — — — — — —
202126 AAErie SeaWolves — 124117 21410 5340 10 179213231444 51253 274 199 2 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 ROK MLEGCL Tigers West — 6960 16500 6171 50 267343350693 83336 259 293 84 — — — — — —
201722 A MLEWest Michigan Whitecaps — 541485 1121530 351292 3111 231285274560 43296 246 248 54 — — — — — —
201823 AA MLEErie SeaWolves — 387352 1071232 21873 1913 304348372721 68375 225 317 101 — — — — — —
201823 A+ MLELakeland Flying Tigers — 2221 7100 170 41 333364381745 48473 325 303 91 — — — — — —
201924 AAA MLEToledo Mud Hens — 426388 941041 291014 235 242302296598 54319 247 270 69 — — — — — —
202126 AA MLEErie SeaWolves — 124118 20410 4400 10 169197220417 51239 323 171 2 — — — — — —
201621 ROK MLEGCL Tigers West — 6960 16500 6171 50 267343350693 83364 259 293 84 — — — — — —
201621 ROK RAWGCL Tigers West — 6957 20700 9121 50 351448474921 123435 1713 402 84 — — — — — —
201722 A MLEWest Michigan Whitecaps — 541485 1121530 351292 3111 231285274560 43309 246 248 54 — — — — — —
201722 A RAWWest Michigan Whitecaps — 541469 1271740 51932 3111 271345324669 53332 179 298 54 — — — — — —
201823 AA MLE3 teams — 478437 1331543 261103 3515 304348378725 73393 235 316 100 — — — — — —
201823 AA RAW3 teams — 478425 1381533 38873 3515 325384395779 71395 188 345 100 — — — — — —
201924 AAA MLEToledo Mud Hens — 426388 941041 291014 235 242302296598 54322 247 270 69 — — — — — —
201924 AAA RAWToledo Mud Hens — 426376 1031251 41894 235 274352340692 66353 2110 315 69 — — — — — —
202126 AA MLEErie SeaWolves — 124118 20410 4400 10 169197220417 51256 323 171 2 — — — — — —
202126 AA RAWErie SeaWolves — 124117 21410 5340 10 179213231444 51253 274 199 2 — — — — — —
201621 ROK MLEGCL Tigers West — 6962 16500 6171 50 258343339682 81336 259 293 84 — — — — — —
201722 A MLEWest Michigan Whitecaps — 541499 1121530 351292 3111 224285267552 42296 246 248 54 — — — — — —
201823 AA MLE3 teams — 478446 1331543 261103 3515 298348370718 72380 235 316 100 — — — — — —
201924 AAA MLEToledo Mud Hens — 426390 941041 291014 235 241302295597 54319 247 270 69 — — — — — —
202126 AA MLEErie SeaWolves — 124119 20410 4400 10 168197218415 50239 323 171 2 — — — — — —
▸ Career Totals
Career— MLE — 16381488 37549124 10039710 9531 252304309613 57336 246 270 69 -61 +7 +0 +6 +35 -1.3
/ 162G— MLE — 650590 1491952 401584 3812 253304312616 59336 246 270 69 -24 +3 +0 +2 +14 -0.5

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.

2021 AAErie SeaWolves · 124 PAwOBA .194 → .171 (−23)K% 27.4% → 32.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.42%÷1.026×1.220——32.59%
BB% (unintentional) /PA4.03%÷0.945×0.690—×0.9882.91%
HBP% /PA0.00%—×0.850—×0.9880.00%
Singles /BIP19.28%÷1.030×0.940×1.050×0.98818.26%
Doubles /BIP4.82%÷0.935×0.870×1.050×0.9884.65%
Triples /BIP1.20%÷1.150×0.920×1.050×0.9881.00%
Home runs /BIP0.00%÷1.055×0.780—×0.9880.00%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — 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 ×1.050.

Result: wOBA .194 → .171; ISO .051 → .045; BABIP .253 → .239. 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 AAAToledo Mud Hens · 426 PAwOBA .309 → .270 (−39)K% 20.9% → 23.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.89%÷1.056×1.200——23.75%
BB% (unintentional) /PA9.62%÷1.004×0.690—×1.0486.93%
HBP% /PA0.94%—×0.940—×1.0480.92%
Singles /BIP29.62%÷1.013×0.930×0.950×1.04827.07%
Doubles /BIP4.18%÷0.995×0.830×0.950×1.0483.47%
Triples /BIP1.74%÷1.096×0.970×0.950×1.0481.54%
Home runs /BIP0.35%÷0.888×0.840—×1.0480.35%

Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .309 → .270; ISO .066 → .059; BABIP .353 → .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).

2018 AAErie SeaWolves · 387 PAwOBA .335 → .317 (−18)K% 18.3% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.35%÷0.999×1.220——22.41%
BB% (unintentional) /PA7.75%÷1.007×0.700—×1.0275.54%
HBP% /PA0.78%—×0.850—×1.0270.68%
Singles /BIP32.47%÷1.016×0.970×1.018×1.02732.40%
Doubles /BIP4.80%÷0.974×0.860×1.018×1.0274.43%
Triples /BIP1.11%÷0.901×0.950×1.018×1.0271.22%
Home runs /BIP1.11%÷1.112×0.780—×1.0270.80%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .335 → .317; ISO .082 → .075; BABIP .380 → .375. 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 A+Lakeland Flying Tigers · 22 PAwOBA .368 → .303 (−65)K% 22.7% → 32.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.73%÷0.987×1.420——32.70%
BB% (unintentional) /PA4.55%÷1.097×0.750—×0.9983.10%
HBP% /PA0.00%—×0.930—×0.9980.00%
Singles /BIP43.75%÷0.974×0.920—×0.99841.25%
Doubles /BIP6.25%÷0.995×0.960—×0.9986.02%
Triples /BIP0.00%÷1.150×0.810—×0.9980.00%
Home runs /BIP0.00%÷1.277×0.880—×0.9980.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — 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 .368 → .303; ISO .048 → .040; BABIP .500 → .473. 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 AWest Michigan Whitecaps · 541 PAwOBA .293 → .248 (−45)K% 17.2% → 23.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.19%÷0.978×1.360——23.90%
BB% (unintentional) /PA9.24%÷0.992×0.690——6.43%
HBP% /PA0.37%—×0.780——0.29%
Singles /BIP28.19%÷1.084×0.920×1.050—25.12%
Doubles /BIP4.52%÷0.958×0.830×1.050—4.11%
Triples /BIP1.06%÷1.150×0.910×1.050—0.88%
Home runs /BIP0.00%÷0.849×0.800——0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 117, 2B 92, 3B 130, K 96, 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 ×1.050.

Result: wOBA .293 → .248; ISO .053 → .047; BABIP .332 → .296. 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 ROKGCL Tigers West · 69 PAwOBA .398 → .293 (−106)K% 17.4% → 25.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.39%÷1.000×1.440——25.04%
BB% (unintentional) /PA13.04%÷1.000×0.620—×0.9857.97%
HBP% /PA1.45%—×0.720—×0.9851.03%
Singles /BIP28.89%÷1.000×0.820—×0.98523.33%
Doubles /BIP15.56%÷1.000×0.720—×0.98511.03%
Triples /BIP0.00%÷1.000×0.720—×0.9850.00%
Home runs /BIP0.00%÷1.000×0.780—×0.9850.00%

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

Result: wOBA .398 → .293; ISO .123 → .088; BABIP .435 → .336. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .