Max Clark

CF Toledo Mud Hens
Age 22 L/L 5'11" / 205 lbs AAA HR -8% Svc 0.343 · Ctrl thru 2032
Overview
AAA40-MANPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202419A+/ADET490.279/.375/.42192985—.246/.316/.357
202520AA/A+DET533.271/.406/.4321419100—.241/.338/.380
202621AAADET418.276/.370/.434112192—.244/.315/.363
202621MLBDET206.272/.351/.417351161.1
2027PROJ65% MLB22MLBDET155.246/.321/.376371010.6
2028PROJ80% MLB23MLBDET493.251/.326/.39112211072.2
2029PROJ83% MLB24MLBDET507.254/.329/.40113221102.5
Last 3 seasons WAR 1.1  ·  Next 3 projected WAR 5.3Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.343First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$8M2031Arb-2$14M2032Arb-3$21M
Skills · percentileStatcast 2026
Speed79
xwOBA55
Avg EV30
Barrel%10
Form.251/.328/.381 · rolling true talent (60d window) · proj .250/.323/.384
CompsCJ Abrams (age 23) · Tyler Black (age 24) · Desmond Jennings (age 23)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†101
AVG/OBP/SLG.246 / .321 / .376
PA155
HR3
SB7
K%20
BB%9
BABIP295
ISO123
MLB%65%
Value2027 · WAR
BAT: +0.3 runs (wOBA-derived runs vs avg)+0BATRUN: +2.0 runs (SB/CS + UBR baserunning)+2RUNFLD: +1.1 runs (Defensive runs vs avg)+1FLDPOS: +0.8 runs (Positional adjustment)+1POSREP: +5.2 runs (Replacement-level credit)+5REPTotal WAR: +0.80+0.8WAR
0.01.53.00.52.22.52.72.72.527282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$59M ctrl surplus
Tools · Recent Form · Contract
ToolsStatcast %ile · 2026
CONTACT
xAVG
660.264
POWER
Barrel%
102.1
Avg EV
3087.6
SPEED
Sprint
7928.6
Recent Formrolling true talent ⓘ
K%20%·20% over 108 PA (60d) · proj 20%
BB%9%▲10% over 108 PA (60d) · proj 9%
ISO.130·.122 over 90 AB (60d) · proj .134
HR/BB2.4%▼1.4% over 69 BBE (60d) · proj 3.1%
BABIP.306▲.382 over 68 BIP (60d) · proj .299
SLASH.251/.328/.381·proj .250/.323/.384
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.343 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.5$2M+$1M
2028Pre-Arb$0.8M+2.2$16M+$16M
2029Pre-Arb$0.8M+2.5$17M+$17M
2030Arb-1$8M+2.7$18M+$12M
2031Arb-2$14M+2.7$17M+$7M
2032Arb-3$21M+2.5$14M+$1M
Totals $46M $84M +$54M

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)
202318 ALakeland Flying Tigers — 5139 6100 12150 10 154353179532 26250 2924 278 26 — — — — — —
202318 ROKFCL Tigers — 5646 13412 9101 41 283411543954 261324 1816 417 84 — — — — — —
202419 A+West Michigan Whitecaps — 157140 371032 13364 32 264344421765 157343 238 342 80 — — — — — —
202419 ALakeland Flying Tigers — 333280 801137 48580 262 286390421812 136333 1714 362 88 — — — — — —
202520 AAErie SeaWolves — 203171 43537 29341 70 251363439802 187273 1714 355 91 — — — — — —
202520 A+West Michigan Whitecaps — 330260 741227 65563 122 285433427860 142337 1720 390 105 — — — — — —
202621 MLBDetroit Tigers — 206180 491133 18424 51 272351417768 144338 209 338 116 +4 +1 +0 +2 +4 1.1
202621 AAAToledo Mud Hens — 418362 10020211 50664 212 276370434804 157310 1612 359 92 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 206180 491133 18424 51 272351417768 144338 209 338 115 +4 +1 +0 +2 +4 1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202318 A MLELakeland Flying Tigers — 5143 6100 8210 10 140275163437 23244 4116 206 26 — — — — — —
202318 ROK MLEFCL Tigers — 5649 11312 6151 41 224321449770 224248 2711 293 84 — — — — — —
202419 A+ MLEWest Michigan Whitecaps — 157144 34932 9484 32 236299382681 146329 316 287 80 — — — — — —
202419 A MLELakeland Flying Tigers — 333296 74735 32770 262 250323345668 95311 2310 298 88 — — — — — —
202520 AA MLEErie SeaWolves — 203179 41436 21401 70 229313385699 156256 2010 302 91 — — — — — —
202520 A+ MLEWest Michigan Whitecaps — 330282 701127 43743 122 248354376730 128307 2213 324 105 — — — — — —
202621 MLB MLEDetroit Tigers — 206181 491133 17424 51 271347414761 144338 208 340 116 +4 +1 +0 +2 +4 1.1
202621 AAA MLEToledo Mud Hens — 418377 921728 35794 212 244315363678 119289 198 304 92 — — — — — —
202318 ROK MLE2 teams — 10792 16412 14361 51 174290304594 130259 3413 252 56 — — — — — —
202318 ROK RAW2 teams — 10785 19512 21251 51 224383376760 153293 2320 351 56 — — — — — —
202419 A MLE2 teams — 490440 1071657 411244 294 243313350663 107319 258 294 85 — — — — — —
202419 A RAW2 teams — 490420 1172169 61944 294 279375421797 143336 1912 355 85 — — — — — —
202520 A+ MLE2 teams — 533461 11215513 641144 192 243340382722 139293 2112 316 100 — — — — — —
202520 A+ RAW2 teams — 533431 11717514 94904 192 271406432838 160311 1718 377 100 — — — — — —
202621 AAA MLE2 teams — 624558 14329511 521218 263 256328385714 129308 198 316 100 — — — — — —
202621 AAA RAW2 teams — 624542 14931514 681088 263 275364428792 153319 1711 352 100 — — — — — —
202318 ROK MLE2 teams — 10791 16412 14361 51 176290308597 132246 3413 252 56 — — — — — —
202419 A MLE2 teams — 490442 1071657 411244 294 242313348662 106317 258 294 85 — — — — — —
202520 A+ MLE2 teams — 533460 11215513 641144 192 243340383723 139288 2112 316 100 — — — — — —
202621 AAA MLE2 teams — 624559 14329511 521218 263 256328385713 129305 198 316 100 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202419 A MLE2 teams — 490442 1071657 411244 294 242313348662 106317 258 294 85 — — — — — —
202520 A+ MLE2 teams — 533460 11215513 641144 192 243340383723 139288 2112 316 100 — — — — — —
202621 AAA MLE2 teams — 624559 14329511 521218 263 256328385713 129305 198 316 100 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202722 MLB MLEDET 65% 648579 14627514 571327 276 251325385710 134299 209 318 101 +1 +3 +3 +2 +14 0.8
▸ 2027 — real world (MLB)
202722 MLB CTXDET 65% 155138 34613 14312 71 246321376697 130295 209 313 101 +0 +1 +1 +1 +3 0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202823 MLB MLEDET 80% 614547 14026415 551227 265 255330400731 145300 209 326 107 +5 +3 +3 +2 +13 2.7
202924 MLB MLEDET 83% 614547 14126416 551217 265 258334410744 152301 209 331 110 +7 +3 +4 +2 +13 3.0
203025 MLB MLEDET 83% 614546 14226417 561207 265 260335416751 156301 209 334 112 +9 +3 +4 +2 +13 3.2
203126 MLB MLEDET 84% 614546 14226417 561207 255 260336418753 158301 209 335 113 +9 +3 +4 +2 +13 3.2
203227 MLB MLEDET 82% 606540 13925417 551206 255 259335415750 156301 209 333 112 +8 +3 +4 +2 +13 3.1
203328 MLB MLEDET 82% 592527 13524416 541186 215 257333410743 153300 209 331 110 +7 +2 +3 +2 +13 2.8
203429 MLB MLEDET 79% 571508 13023415 521166 184 254330404734 149299 209 327 107 +5 +2 +2 +2 +12 2.4
203530 MLB MLEDET 78% 555495 12522414 501145 143 251326396722 144297 219 322 104 +3 +2 +1 +2 +12 2.0
203631 MLB MLEDET 78% 536478 11821313 481125 93 247321386707 139294 219 316 100 +0 +1 +0 +2 +12 1.5
203732 MLB MLEDET 78% 512458 11119312 451104 42 242315373688 131290 219 309 95 -3 +0 -0 +2 +11 1.0
203833 MLB MLEDET 77% 476428 10117310 411054 11 235308357665 122286 229 299 89 -6 -0 -1 +2 +10 0.4
202823 MLB CTXDET 80% 493441 11120412 44985 214 251326391717 140295 209 321 107 +4 +3 +3 +2 +11 2.2
202924 MLB CTXDET 83% 507451 11521413 451006 224 254329401730 147296 209 326 110 +6 +3 +3 +2 +11 2.5
203025 MLB CTXDET 83% 513456 11721414 461006 224 255331406737 151296 199 328 112 +7 +3 +3 +2 +11 2.7
203126 MLB CTXDET 84% 515457 11821414 471016 214 255331408739 153296 209 329 113 +8 +3 +3 +2 +11 2.7
203227 MLB CTXDET 82% 498445 11220313 45985 204 254331405736 151296 209 328 112 +7 +2 +3 +2 +11 2.5
203328 MLB CTXDET 82% 483431 10819313 44965 174 252329400729 148295 209 325 110 +6 +2 +2 +2 +10 2.2
203429 MLB CTXDET 79% 453404 10118311 41925 143 250326394720 144294 209 322 107 +4 +2 +2 +2 +10 1.9
203530 MLB CTXDET 78% 435389 9717311 39894 113 247322387709 140292 209 317 104 +2 +1 +1 +2 +9 1.5
203631 MLB CTXDET 78% 417373 9016210 37874 72 243318377694 134289 219 311 100 +0 +1 +0 +1 +9 1.2
203732 MLB CTXDET 78% 397356 841429 35853 31 238311364676 127286 219 304 95 -2 +0 -0 +1 +9 0.8
203833 MLB CTXDET 77% 368330 761327 32813 11 231304349653 118281 229 294 89 -5 -0 -1 +1 +8 0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 52854713 117821137130 473106956 16435 250326393719 143296 209 320 103 +40 +19 +19 +20 +115 21.7
/ 162G— A+C — 650580 14526516 581317 204 250326395720 145296 209 320 103 +5 +2 +2 +3 +14 2.7
Career— MLE — 82967383 185632959200 759172184 28455 251328393721 142301 219 321 103 +48 +24 +24 +26 +146 27.3
/ 162G— MLE — 650578 14626516 591357 224 253329398727 145302 219 321 103 +5 +2 +2 +2 +14 2.6

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.

2026 AAAToledo Mud Hens · 418 PAwOBA .350 → .304 (−47)K% 15.8% → 18.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷1.000×1.200——18.95%
BB% (unintentional) /PA11.48%÷1.000×0.690—×1.0508.32%
HBP% /PA0.96%—×0.940—×1.0500.94%
Singles /BIP22.64%÷1.000×0.930×0.986×1.05021.79%
Doubles /BIP6.76%÷1.000×0.830×0.986×1.0505.80%
Triples /BIP0.68%÷1.000×0.970×0.986×1.0500.68%
Home runs /BIP3.72%÷1.000×0.700—×1.0502.73%

Factors used: league row International League. 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 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .350 → .304; ISO .157 → .127; BABIP .310 → .289. 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).

2025 A+West Michigan Whitecaps · 330 PAwOBA .383 → .324 (−60)K% 17.0% → 22.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.97%÷0.960×1.270——22.45%
BB% (unintentional) /PA19.70%÷1.106×0.710—×1.02712.98%
HBP% /PA0.91%—×0.790—×1.0270.74%
Singles /BIP25.98%÷1.027×0.920×0.999×1.02723.87%
Doubles /BIP5.88%÷0.948×0.810×0.999×1.0275.16%
Triples /BIP0.98%÷0.900×0.850×0.999×1.0270.95%
Home runs /BIP3.43%÷0.850×0.800—×1.0273.32%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 70, 1B 105, 2B 90, 3B 80, K 92, BB 121 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .383 → .324; ISO .142 → .138; BABIP .337 → .307. 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).

2025 AAErie SeaWolves · 203 PAwOBA .350 → .302 (−48)K% 16.7% → 19.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.75%÷1.035×1.220——19.74%
BB% (unintentional) /PA14.29%÷0.996×0.700—×1.05010.54%
HBP% /PA0.49%—×0.850—×1.0500.44%
Singles /BIP20.44%÷0.981×0.970×0.951×1.05020.18%
Doubles /BIP3.65%÷1.075×0.860×0.951×1.0502.92%
Triples /BIP2.19%÷1.115×0.950×0.951×1.0501.86%
Home runs /BIP5.11%÷1.056×0.780—×1.0503.96%

Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 96, 2B 115, 3B 123, K 107, BB 99 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .350 → .302; ISO .187 → .152; BABIP .273 → .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).

2024 ALakeland Flying Tigers · 333 PAwOBA .357 → .298 (−59)K% 17.4% → 23.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.42%÷1.028×1.360——23.05%
BB% (unintentional) /PA14.41%÷1.061×0.690—×1.0309.65%
HBP% /PA0.00%—×0.780—×1.0300.00%
Singles /BIP26.58%÷0.980×0.920×1.030×1.03026.47%
Doubles /BIP4.95%÷1.351×0.830×1.030×1.0303.23%
Triples /BIP1.35%÷1.106×0.910×1.030×1.0301.18%
Home runs /BIP3.15%÷1.099×0.800—×1.0302.36%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 96, 2B 170, 3B 121, K 106, BB 112 — 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 ×1.030.

Result: wOBA .357 → .298; ISO .136 → .101; BABIP .333 → .311. 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).

2024 A+West Michigan Whitecaps · 157 PAwOBA .331 → .287 (−45)K% 22.9% → 30.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.93%÷0.957×1.270——30.44%
BB% (unintentional) /PA7.64%÷1.026×0.710—×1.0425.51%
HBP% /PA2.55%—×0.790—×1.0422.10%
Singles /BIP21.15%÷1.021×0.920×1.015×1.04220.17%
Doubles /BIP9.62%÷0.892×0.810×1.015×1.0429.24%
Triples /BIP2.88%÷0.900×0.850×1.015×1.0422.88%
Home runs /BIP1.92%÷0.889×0.800—×1.0421.80%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 78, 1B 104, 2B 78, 3B 80, K 91, BB 105 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .331 → .287; ISO .157 → .142; BABIP .343 → .329. 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).

2023 ROKFCL Tigers · 56 PAwOBA .407 → .293 (−114)K% 17.9% → 26.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.86%÷0.972×1.440——26.45%
BB% (unintentional) /PA16.07%÷0.987×0.620—×1.00810.17%
HBP% /PA1.79%—×0.720—×1.0081.30%
Singles /BIP16.67%÷0.987×0.820—×1.00813.95%
Doubles /BIP11.11%÷1.014×0.720—×1.0087.95%
Triples /BIP2.78%÷1.150×0.720—×1.0081.75%
Home runs /BIP5.56%÷0.924×0.780—×1.0084.72%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 97, 2B 103, 3B 130, K 94, BB 97 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .407 → .293; ISO .261 → .194; BABIP .324 → .248. 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).

2023 ALakeland Flying Tigers · 51 PAwOBA .273 → .206 (−67)K% 29.4% → 41.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA29.41%÷0.975×1.360——41.01%
BB% (unintentional) /PA23.53%÷1.089×0.690—×1.04515.59%
HBP% /PA0.00%—×0.780—×1.0450.00%
Singles /BIP20.83%÷0.957×0.920—×1.04520.93%
Doubles /BIP4.17%÷1.056×0.830—×1.0453.42%
Triples /BIP0.00%÷1.020×0.910—×1.0450.00%
Home runs /BIP0.00%÷1.216×0.800—×1.0450.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .273 → .206; ISO .026 → .019; BABIP .250 → .244. 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).