Marcus Wilson

PosCF
B/TR/R
Born1996-08-15
Age (2027)30
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2023
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202124AAASEA437.240/.366/.421141576—.203/.294/.335
202225AAASEA355.218/.348/.464161472—.181/.276/.355
202326AAABOS68.153/.265/.254150—.113/.191/.194
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2023 AAA
Chase%95
Speed89
Max EV81
BB%64
Whiff%5
Z-Con%4

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)
201417 ROKACL D-backs — 148131 27221 16401 42 206297275572 69289 2711 268 7 — — — — — —
201518 ROKMissoula Osprey — 249213 551211 33611 74 258360338698 80353 2413 321 36 — — — — — —
201619 AKane County Cougars — 11599 25811 13323 72 253357384740 131364 2811 338 70 — — — — — —
201720 AKane County Cougars — 447383 1132159 55902 157 295385446831 151361 2012 367 87 — — — — — —
201821 A+Visalia Rawhide — 502447 10526210 441416 166 235312369681 134316 289 305 49 — — — — — —
201922 AAPortland Sea Dogs — 278240 5416110 33953 91 225326425751 200321 3412 333 55 — — — — — —
201922 A+Salem Red Sox — 167146 501218 18471 43 3424186031.021 260452 2811 438 91 — — — — — —
201922 INTLPeoria Javelinas — 3430 10101 371 21 333412467878 133409 219 395 154 — — — — — —
202124 AAATacoma Rainiers — 437363 8718314 681464 153 240366421787 182356 3316 354 76 — — — — — —
202225 AAATacoma Rainiers — 355293 6418316 531265 142 218348464812 246310 3515 356 72 — — — — — —
202326 AAAWorcester Red Sox — 6859 9301 9320 50 153265254519 102308 4713 246 0 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201417 ROK MLEACL D-backs — 148137 19111 10581 42 139203182385 44235 397 179 7 — — — — — —
201518 ROK MLEMissoula Osprey — 249226 41811 20881 74 181251239490 58283 358 221 36 — — — — — —
201619 A MLEKane County Cougars — 115103 23711 9423 72 223304340644 117352 378 272 70 — — — — — —
201720 A MLEKane County Cougars — 447403 991758 371242 157 246312372684 127322 288 297 87 — — — — — —
201821 A+ MLEVisalia Rawhide — 502460 881928 311846 166 191252293545 102284 376 241 49 — — — — — —
201922 AA MLEPortland Sea Dogs — 278249 431118 241173 91 173254321575 149271 429 250 55 — — — — — —
201922 A+ MLESalem Red Sox — 167152 37816 12701 43 243303428731 184374 427 303 91 — — — — — —
202124 AAA MLETacoma Rainiers — 437385 7815310 461764 153 203294335629 132333 4011 280 76 — — — — — —
202225 AAA MLETacoma Rainiers — 355310 5618310 361485 142 181276355631 174284 4210 275 72 — — — — — —
202326 AAA MLEWorcester Red Sox — 6862 7201 6380 50 113191194385 81251 569 168 0 — — — — — —
201417 ROK MLEACL D-backs — 148137 19111 10581 42 139203182385 44231 397 179 7 — — — — — —
201417 ROK RAWACL D-backs — 148131 27221 16401 42 206297275572 69289 2711 268 7 — — — — — —
201518 ROK MLEMissoula Osprey — 249226 41811 20881 74 181251239490 58288 358 221 36 — — — — — —
201518 ROK RAWMissoula Osprey — 249213 551211 33611 74 258360338698 80353 2413 321 36 — — — — — —
201619 A MLEKane County Cougars — 115103 23711 9423 72 223304340644 117367 378 272 70 — — — — — —
201619 A RAWKane County Cougars — 11599 25811 13323 72 253357384740 131364 2811 338 70 — — — — — —
201720 A MLEKane County Cougars — 447403 991758 371242 157 246312372684 127331 288 297 87 — — — — — —
201720 A RAWKane County Cougars — 447383 1132159 55902 157 295385446831 151361 2012 367 87 — — — — — —
201821 A+ MLEVisalia Rawhide — 502460 881928 311846 166 191252293545 102293 376 241 49 — — — — — —
201821 A+ RAWVisalia Rawhide — 502447 10526210 441416 166 235312369681 134316 289 305 49 — — — — — —
201922 AA MLE3 teams — 479432 8620215 382015 155 199272359630 160323 428 270 69 — — — — — —
201922 AA RAW3 teams — 479416 11429219 541495 155 274364490855 216377 3111 374 69 — — — — — —
202124 AAA MLETacoma Rainiers — 437385 7815310 461764 153 203294335629 132338 4011 280 76 — — — — — —
202124 AAA RAWTacoma Rainiers — 437363 8718314 681464 153 240366421787 182356 3316 354 76 — — — — — —
202225 AAA MLETacoma Rainiers — 355310 5618310 361485 142 181276355631 174295 4210 275 72 — — — — — —
202225 AAA RAWTacoma Rainiers — 355293 6418316 531265 142 218348464812 246310 3515 356 72 — — — — — —
202326 AAA MLEWorcester Red Sox — 6862 7201 6380 50 113191194385 81261 569 168 0 — — — — — —
202326 AAA RAWWorcester Red Sox — 6859 9301 9320 50 153265254519 102308 4713 246 0 — — — — — —
201417 ROK MLEACL D-backs — 148136 19111 10581 42 140203184387 44235 397 179 7 — — — — — —
201518 ROK MLEMissoula Osprey — 249226 41811 20881 74 181251239490 58283 358 221 36 — — — — — —
201619 A MLEKane County Cougars — 115102 23711 9423 72 225304343647 118352 378 272 70 — — — — — —
201720 A MLEKane County Cougars — 447405 991758 371242 157 244312370683 126322 288 297 87 — — — — — —
201821 A+ MLEVisalia Rawhide — 502460 881928 311846 166 191252293545 102284 376 241 49 — — — — — —
201922 AA MLE3 teams — 479433 8620215 382015 155 199272358630 159310 428 270 69 — — — — — —
202124 AAA MLETacoma Rainiers — 437384 7815310 461764 153 203294336630 133333 4011 280 76 — — — — — —
202225 AAA MLETacoma Rainiers — 355311 5618310 361485 142 180276354630 174284 4210 275 72 — — — — — —
202326 AAA MLEWorcester Red Sox — 6862 7201 6380 50 113191194385 81251 569 168 0 — — — — — —
▸ Career Totals
Career— MLE — 28002518 4971071855 233105927 9831 197272320592 122310 388 260 62 -127 +7 -0 +5 +61 -5.5
/ 162G— MLE — 650585 11625413 542466 237 198273321594 123311 388 260 62 -29 +2 -0 +1 +14 -1.3

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.

2023 AAAWorcester Red Sox · 68 PAwOBA .240 → .168 (−73)K% 47.1% → 55.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA47.06%÷1.023×1.200——55.21%
BB% (unintentional) /PA13.24%÷0.986×0.690—×1.0039.29%
HBP% /PA0.00%—×0.940—×1.0030.00%
Singles /BIP18.52%÷0.996×0.930—×1.00317.34%
Doubles /BIP11.11%÷1.309×0.830—×1.0037.06%
Triples /BIP0.00%÷0.905×0.970—×1.0030.00%
Home runs /BIP3.70%÷1.008×0.700—×1.0032.58%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 99, 2B 162, 3B 81, K 105, BB 97 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .240 → .168; ISO .102 → .061; BABIP .308 → .251. 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 AAATacoma Rainiers · 355 PAwOBA .351 → .275 (−75)K% 35.5% → 41.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA35.49%÷1.020×1.200——41.77%
BB% (unintentional) /PA14.93%÷1.048×0.690—×1.01810.01%
HBP% /PA1.41%—×0.940—×1.0181.35%
Singles /BIP16.17%÷1.013×0.930×0.981×1.01814.81%
Doubles /BIP10.78%÷0.839×0.830×0.981×1.01810.65%
Triples /BIP1.80%÷0.902×0.970×0.981×1.0181.93%
Home runs /BIP9.58%÷1.144×0.700—×1.0185.97%

Factors used: league row International League. Park (home-season share, regressed): HR 129, 1B 103, 2B 68, 3B 80, K 104, BB 110 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .351 → .275; ISO .246 → .184; BABIP .310 → .284. 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 AAATacoma Rainiers · 437 PAwOBA .347 → .280 (−67)K% 33.4% → 40.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA33.41%÷0.994×1.200——40.35%
BB% (unintentional) /PA15.56%÷1.045×0.690—×1.03310.62%
HBP% /PA0.92%—×0.940—×1.0330.89%
Singles /BIP23.96%÷0.952×0.930×0.979×1.03323.68%
Doubles /BIP8.29%÷0.989×0.830×0.979×1.0337.04%
Triples /BIP1.38%÷0.977×0.920×0.979×1.0331.32%
Home runs /BIP6.45%÷0.970×0.700—×1.0334.81%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 90, 2B 98, 3B 95, K 99, BB 109 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .347 → .280; ISO .182 → .140; BABIP .356 → .333. 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 AAPortland Sea Dogs · 278 PAwOBA .327 → .250 (−77)K% 34.2% → 42.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA34.17%÷0.991×1.220——42.08%
BB% (unintentional) /PA11.87%÷0.997×0.700—×1.0278.56%
HBP% /PA1.08%—×0.850—×1.0270.94%
Singles /BIP18.62%÷1.016×0.970×0.950×1.02717.34%
Doubles /BIP11.03%÷1.158×0.860×0.950×1.0277.99%
Triples /BIP0.69%÷1.150×0.950×0.950×1.0270.56%
Home runs /BIP6.90%÷0.953×0.780—×1.0275.80%

Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 103, 2B 132, 3B 130, K 98, BB 99 — 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 ×0.950.

Result: wOBA .327 → .250; ISO .200 → .149; BABIP .321 → .271. 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+Salem Red Sox · 167 PAwOBA .432 → .303 (−129)K% 28.1% → 41.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.14%÷0.958×1.420——41.72%
BB% (unintentional) /PA10.78%÷0.968×0.630—×0.9987.00%
HBP% /PA0.60%—×0.860—×0.9980.51%
Singles /BIP29.29%÷1.003×0.940×0.950×0.99826.03%
Doubles /BIP12.12%÷1.070×0.830×0.950×0.9988.91%
Triples /BIP1.01%÷0.972×0.800×0.950×0.9980.79%
Home runs /BIP8.08%÷1.080×0.900—×0.9986.72%

Factors used: league row CAR. Park (home-season share, regressed): HR 116, 1B 101, 2B 114, 3B 94, K 92, BB 94 — 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 .432 → .303; ISO .260 → .178; BABIP .452 → .374. 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+Visalia Rawhide · 502 PAwOBA .300 → .241 (−59)K% 28.1% → 36.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA28.09%÷1.029×1.340——36.58%
BB% (unintentional) /PA8.76%÷1.008×0.710—×1.0126.25%
HBP% /PA1.20%—×0.790—×1.0120.96%
Singles /BIP21.90%÷0.978×0.910×1.005×1.01220.73%
Doubles /BIP8.50%÷1.051×0.820×1.005×1.0126.74%
Triples /BIP0.65%÷0.900×0.760×1.005×1.0120.56%
Home runs /BIP3.27%÷1.018×0.920—×1.0122.99%

Factors used: league row CAL. Park (home-season share, regressed): HR 104, 1B 96, 2B 110, 3B 80, K 106, BB 102 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .300 → .241; ISO .134 → .106; BABIP .316 → .284. 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 AKane County Cougars · 447 PAwOBA .360 → .297 (−62)K% 20.1% → 27.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.13%÷0.987×1.360——27.74%
BB% (unintentional) /PA11.86%÷1.009×0.690—×1.0158.23%
HBP% /PA0.45%—×0.780—×1.0150.35%
Singles /BIP26.62%÷1.012×0.920×0.982×1.01524.12%
Doubles /BIP7.17%÷0.985×0.830×0.982×1.0156.02%
Triples /BIP1.71%÷0.977×0.910×0.982×1.0151.58%
Home runs /BIP3.07%÷0.899×0.800—×1.0152.78%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 102, 2B 97, 3B 95, K 97, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .360 → .297; ISO .151 → .130; BABIP .361 → .322. 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 AKane County Cougars · 115 PAwOBA .329 → .272 (−57)K% 27.8% → 36.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.83%÷1.029×1.360——36.77%
BB% (unintentional) /PA11.30%÷0.995×0.690—×1.0308.08%
HBP% /PA2.61%—×0.780—×1.0302.10%
Singles /BIP22.39%÷0.988×0.920×1.050×1.03022.55%
Doubles /BIP11.94%÷1.000×0.830×1.050×1.03010.72%
Triples /BIP1.49%÷1.008×0.910×1.050×1.0301.46%
Home runs /BIP1.49%÷0.975×0.800—×1.0301.26%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 100, 3B 102, K 106, BB 99 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .329 → .272; ISO .131 → .107; BABIP .364 → .352. 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 — .