Cooper Ingle

C Columbus Clippers
Age 25 L/R 5'8" / 190 lbs AAA Svc 0.076 · Ctrl thru 2032
Overview
AAA40-MANROOKIEPre-ArbFA 2033
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202422AA/A+CLE408.305/.419/.478117111—.267/.355/.398
202523AAA/AACLE510.260/.392/.41910096—.228/.333/.361
202624AAACLE473.297/.426/.528202118—.256/.354/.428
202624MLBCLE24.095/.208/.09500-40.7
2027PROJ30% MLB25MLBCLE63.241/.341/.389201080.3
2028PROJ56% MLB26MLBCLE250.242/.340/.389611081.1
2029PROJ66% MLB27MLBCLE292.241/.338/.388711061.3
Last 3 seasons WAR 0.7  ·  Next 3 projected WAR 2.7Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2032Service0.076First FA2033
2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$4M2031Arb-2$6M2032Arb-3$9M
Skills · percentileMiLB Statcast 2026 AAA
BB%93
Chase%89
Whiff%70
Max EV67
Z-Con%57
K%52
Career WAR0.3 WAR median (P10 -0.3 / P90 26, comp-based) · star 4% · didn't stick 63%
CompsChance Sisco (age 26) · Josmil Pinto (age 25) · Victor Caratini (age 25)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†108
AVG/OBP/SLG.241 / .341 / .389
PA63
HR2
K%27
BB%13
BABIP320
ISO164
MLB%30%
Value2027 · WAR
BAT: +1.9 runs (wOBA-derived runs vs avg)+2BATRUN: -0.5 runs (SB/CS + UBR baserunning)-0RUNFLD: -0.6 runs (Defensive runs vs avg)-1FLDPOS: +3.8 runs (Positional adjustment)+4POSREP: +4.5 runs (Replacement-level credit)+5REPTotal WAR: +1.10+1.1WAR
0.00.91.80.31.11.31.31.21.027282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$28M ctrl surplus
Tools · Contract
ToolsStatcast %ile · 2026
CONTACT
xAVG
100.106
POWER
Avg EV
7690.9
SPEED
Sprint
1225.6
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2026
Service   0.076 yrs.days
Team Control Through   2032
First FA Year   2033
YearStatusSalary Proj WAR Value Surplus
2027Pre-Arb$0.8M+0.3$1M+$0.5M
2028Pre-Arb$0.8M+1.1$8M+$7M
2029Pre-Arb$0.8M+1.3$9M+$8M
2030Arb-1$4M+1.3$8M+$5M
2031Arb-2$6M+1.2$7M+$3M
2032Arb-3$9M+1.0$5M+$0.3M
Totals $22M $39M +$25M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
202321 A+Lake County Captains — 6952 15500 1780 21 288464385848 96341 1225 396 117 — — — — — —
202422 AAAkron RubberDucks — 10389 25602 14160 40 281379416794 135324 1614 359 101 — — — — — —
202422 A+Lake County Captains — 305252 791819 51402 31 313433500933 187345 1317 415 114 — — — — — —
202523 AAAColumbus Clippers — 10782 17701 21153 00 207387329716 122239 1420 337 77 — — — — — —
202523 AAAkron RubberDucks — 403333 912909 65701 02 273393441835 168319 1716 372 101 — — — — — —
202624 MLBCleveland Guardians — 2421 2000 3120 00 9520895304 222 5012 163 -4 -3 +0 +0 +9 +1 0.7
202624 AAAColumbus Clippers — 473381 11326120 861081 21 297426528954 231362 2318 417 118 — — — — — —
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 2421 2000 3120 00 9520895304 222 5012 163 -4 -3 +0 +0 +9 +1 0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202321 A+ MLELake County Captains — 6956 15500 13100 21 268406357763 89317 1419 341 117 — — — — — —
202422 AA MLEAkron RubberDucks — 10393 25602 10200 40 269340398738 129323 1910 318 101 — — — — — —
202422 A+ MLELake County Captains — 305266 711516 37502 31 267361398759 132309 1612 337 114 — — — — — —
202523 AAA MLEColumbus Clippers — 10788 16601 15193 00 182321284605 102221 1814 282 77 — — — — — —
202523 AA MLEAkron RubberDucks — 403349 842508 49901 02 241336381717 140298 2212 318 101 — — — — — —
202624 MLB MLECleveland Guardians — 2421 2000 3120 00 9520895304 222 5012 162 -4 -3 +0 +0 +9 +1 0.7
202624 AAA MLEColumbus Clippers — 473407 10423115 611301 21 256354428781 172328 2713 342 118 — — — — — —
202321 A+ MLELake County Captains — 6956 15500 13100 21 268406357763 89326 1419 341 117 — — — — — —
202321 A+ RAWLake County Captains — 6952 15500 1780 21 288464385848 96341 1225 396 117 — — — — — —
202422 A+ MLE2 teams — 408359 962118 47702 71 267355398754 131313 1712 332 111 — — — — — —
202422 A+ RAW2 teams — 408341 10424111 65562 71 305419478897 173339 1416 401 111 — — — — — —
202523 AA MLE2 teams — 510437 1013208 641094 02 231335359694 128287 2113 310 96 — — — — — —
202523 AA RAW2 teams — 510415 10836010 86854 02 260392419811 159302 1717 365 96 — — — — — —
202624 AAA MLE2 teams — 497428 10623115 641421 21 248347411758 164331 2913 333 112 — — — — — —
202624 AAA RAW2 teams — 497402 11526120 891201 21 286416505921 219357 2418 404 112 — — — — — —
202321 A+ MLELake County Captains — 6956 15500 13100 21 268406357763 89317 1419 341 117 — — — — — —
202422 A+ MLE2 teams — 408356 962118 47702 71 270355402757 132313 1712 332 111 — — — — — —
202523 AA MLE2 teams — 510437 1013208 641094 02 231335359694 128282 2113 310 96 — — — — — —
202624 AAA MLE2 teams — 497429 10623115 641421 21 247347410757 163323 2913 333 112 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202422 A+ MLE2 teams — 408356 962118 47702 71 270355402757 132313 1712 332 111 — — — — — —
202523 AA MLE2 teams — 510437 1013208 641094 02 231335359694 128282 2113 310 96 — — — — — —
202624 AAA MLE2 teams — 497429 10623115 641421 21 247347410757 163323 2913 333 112 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202725 MLB MLECLE 30% 380327 791919 481032 21 241340388728 147319 2713 327 108 +3 +0 -1 +7 +8 1.1
▸ 2027 — real world (MLB)
202725 MLB CTXCLE 30% 6355 13302 8170 00 241341389729 147320 2713 328 108 +1 +0 -0 +1 +1 0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202826 MLB MLECLE 56% 445385 9322111 551202 21 241339389727 148317 2712 327 108 +4 +0 -1 +8 +10 2.1
202927 MLB MLECLE 66% 445386 9322111 541192 21 240337387724 147315 2712 326 106 +3 +0 -1 +8 +10 2.0
203028 MLB MLECLE 71% 445387 9322111 531192 11 238334383717 145313 2712 323 105 +2 -0 -2 +8 +10 1.8
203129 MLB MLECLE 71% 445388 9221111 521192 11 236331378709 142310 2712 319 102 +1 -0 -3 +8 +10 1.6
203230 MLB MLECLE 71% 445389 9121110 511202 10 234327371698 138307 2711 315 99 -0 +0 -3 +8 +10 1.4
203331 MLB MLECLE 72% 422369 841919 481152 10 229322361683 132304 2711 309 95 -2 +0 -4 +8 +9 1.1
203432 MLB MLECLE 72% 391342 761708 441092 00 224315348663 124300 2811 301 90 -5 +0 -5 +7 +8 0.6
203533 MLB MLECLE 72% 202176 39904 23571 00 217308332640 115294 2811 291 83 -4 +0 -5 +4 +4 -0.1
202826 MLB CTXCLE 56% 250216 521306 31671 11 242340389729 148318 2712 328 108 +2 -0 -1 +4 +5 1.1
202927 MLB CTXCLE 66% 292253 621517 36781 11 241338388725 147316 2712 326 106 +2 -0 -1 +5 +6 1.3
203028 MLB CTXCLE 71% 314271 651518 38842 11 239335384719 145314 2712 323 105 +2 -0 -1 +6 +7 1.3
203129 MLB CTXCLE 71% 316274 661518 37852 00 237331379710 142311 2712 320 102 +1 +0 -2 +6 +7 1.2
203230 MLB CTXCLE 71% 318276 641507 37862 00 234327372700 138308 2712 315 99 -0 +0 -2 +6 +7 1.0
203331 MLB CTXCLE 72% 302263 611407 35821 00 230322362685 132305 2712 310 95 -2 +0 -3 +5 +7 0.7
203432 MLB CTXCLE 72% 280245 551306 32781 00 225316349665 125301 2811 302 90 -3 +0 -3 +5 +6 0.4
203533 MLB CTXCLE 72% 145128 28603 16410 00 218308333642 115295 2811 292 83 -3 +0 -3 +3 +3 -0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 22411947 455106352 26561310 33 234329371700 138311 2712 314 102 -4 -1 -17 +48 +49 7.7
/ 162G— A+C — 650565 13231115 771783 11 234329372700 138312 2712 314 102 -1 -0 -5 +14 +14 2.2
Career— MLE — 49344283 10222448111 594126623 2010 239334377712 138311 2612 319 102 -2 -0 -25 +70 +75 12.2
/ 162G— MLE — 650564 13532115 781673 31 239334379714 140312 2612 319 102 -0 -0 -5 +13 +14 2.3

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.

2026 AAAColumbus Clippers · 473 PAwOBA .409 → .342 (−67)K% 22.8% → 27.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.83%÷1.000×1.200——27.40%
BB% (unintentional) /PA17.97%÷1.000×0.690—×1.04812.99%
HBP% /PA0.21%—×0.940—×1.0480.21%
Singles /BIP24.18%÷1.000×0.930×0.978×1.04823.04%
Doubles /BIP9.52%÷1.000×0.830×0.978×1.0488.10%
Triples /BIP0.37%÷1.000×0.970×0.978×1.0480.36%
Home runs /BIP7.33%÷1.000×0.700—×1.0485.37%

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 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 ×0.978.

Result: wOBA .409 → .342; ISO .231 → .184; BABIP .362 → .328. 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 AAAkron RubberDucks · 403 PAwOBA .366 → .318 (−48)K% 17.4% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.37%÷0.948×1.220——22.35%
BB% (unintentional) /PA16.13%÷0.953×0.700—×1.02712.17%
HBP% /PA0.25%—×0.850—×1.0270.22%
Singles /BIP20.15%÷1.004×0.970×0.979×1.02719.57%
Doubles /BIP11.03%÷0.986×0.860×0.979×1.0279.67%
Triples /BIP0.00%÷0.935×0.950×0.979×1.0270.00%
Home runs /BIP3.42%÷0.926×0.780—×1.0272.96%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 101, 2B 97, 3B 87, K 90, BB 91 — 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 ×0.979.

Result: wOBA .366 → .318; ISO .168 → .147; BABIP .319 → .298. 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 AAAColumbus Clippers · 107 PAwOBA .333 → .282 (−51)K% 14.0% → 17.6%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.02%÷0.956×1.200——17.60%
BB% (unintentional) /PA19.63%÷1.014×0.690—×1.05014.03%
HBP% /PA2.80%—×0.940—×1.0502.77%
Singles /BIP13.43%÷0.997×0.930×1.021×1.05013.43%
Doubles /BIP10.45%÷1.064×0.830×1.021×1.0508.73%
Triples /BIP0.00%÷1.042×0.970×1.021×1.0500.00%
Home runs /BIP1.49%÷1.093×0.700—×1.0501.00%

Factors used: league row International League. Park (home-season share, regressed): HR 118, 1B 99, 2B 113, 3B 108, K 91, BB 103 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.

Result: wOBA .333 → .282; ISO .122 → .101; BABIP .239 → .221. 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+Lake County Captains · 305 PAwOBA .405 → .337 (−68)K% 13.1% → 16.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.11%÷1.023×1.270——16.27%
BB% (unintentional) /PA16.72%÷0.999×0.710—×1.01212.02%
HBP% /PA0.66%—×0.790—×1.0120.52%
Singles /BIP24.06%÷0.995×0.920×1.000×1.01222.52%
Doubles /BIP8.49%÷0.978×0.810×1.000×1.0127.12%
Triples /BIP0.47%÷1.023×0.850×1.000×1.0120.40%
Home runs /BIP4.25%÷1.190×0.800—×1.0122.89%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 138, 1B 99, 2B 96, 3B 105, K 105, BB 100 — 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 ×1.000.

Result: wOBA .405 → .337; ISO .187 → .143; BABIP .345 → .309. 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 AAAkron RubberDucks · 103 PAwOBA .350 → .318 (−32)K% 15.5% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.53%÷0.980×1.220——19.34%
BB% (unintentional) /PA13.59%÷0.987×0.700—×1.04210.04%
HBP% /PA0.00%—×0.850—×1.0420.00%
Singles /BIP23.29%÷0.993×0.970×1.002×1.04223.74%
Doubles /BIP8.22%÷0.944×0.860×1.002×1.0427.81%
Triples /BIP0.00%÷1.023×0.950×1.002×1.0420.00%
Home runs /BIP2.74%÷0.966×0.780—×1.0422.31%

Factors used: league row EL. Park (home-season share, regressed): HR 93, 1B 99, 2B 89, 3B 105, K 96, BB 97 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .350 → .318; ISO .135 → .120; BABIP .324 → .323. 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 A+Lake County Captains · 69 PAwOBA .388 → .341 (−47)K% 11.6% → 14.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.59%÷1.028×1.270——14.33%
BB% (unintentional) /PA24.64%÷0.971×0.710—×1.02718.49%
HBP% /PA0.00%—×0.790—×1.0270.00%
Singles /BIP22.73%÷1.011×0.920—×1.02721.24%
Doubles /BIP11.36%÷0.900×0.810—×1.02710.50%
Triples /BIP0.00%÷1.150×0.850—×1.0270.00%
Home runs /BIP0.00%÷1.060×0.800—×1.0270.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 112, 1B 102, 2B 80, 3B 130, K 106, BB 94 — 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).

Result: wOBA .388 → .341; ISO .096 → .094; BABIP .341 → .317. 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).