Cole Turney
OF West Michigan Whitecaps| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 24 | A/ROKDET | 66 | .404/.530/.692 | 2 | 2 | 121 | — | .312/.424/.570 |
| 2024 | 25 | A+DET | 79 | .318/.430/.530 | 2 | 1 | 105 | — | .254/.329/.437 |
| 2025 | 26 | A+DET | 23 | .364/.391/.591 | 0 | 0 | 83 | — | .227/.261/.364 |
| 2027PROJMLE | 28 | MLBDET | 200 | .204/.272/.318 | 3 | 3 | 67 | -0.1 | |
| 2028PROJ22% MLB | 29 | MLBDET | 15 | .200/.268/.309 | 0 | 0 | 66 | -0.1 |
Tools · Contract
Career Stats + Projections
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.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2023 | 24 | A | Lakeland Flying Tigers | — | 17 | 15 | 5 | 1 | 1 | 0 | 2 | 7 | 0 | 0 | 0 | 333 | 412 | 533 | 945 | 200 | 625 | 41 | 12 | 412 | 64 | — | — | — | — | — | — |
| 2023 | 24 | ROK | FCL Tigers | — | 49 | 37 | 16 | 4 | 1 | 2 | 6 | 12 | 6 | 2 | 0 | 432 | 571 | 757 | 1.328 | 324 | 609 | 24 | 12 | 564 | 141 | — | — | — | — | — | — |
| 2024 | 25 | A+ | West Michigan Whitecaps | — | 79 | 66 | 21 | 8 | 0 | 2 | 12 | 23 | 1 | 1 | 0 | 318 | 430 | 530 | 961 | 212 | 463 | 29 | 15 | 424 | 105 | — | — | — | — | — | — |
| 2025 | 26 | A+ | West Michigan Whitecaps | — | 23 | 22 | 8 | 5 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 364 | 391 | 591 | 982 | 227 | 571 | 35 | 4 | 428 | 83 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 24 | A MLE | Lakeland Flying Tigers | — | 17 | 16 | 4 | 1 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 250 | 294 | 438 | 732 | 188 | 559 | 59 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 24 | ROK MLE | FCL Tigers | — | 49 | 39 | 13 | 3 | 1 | 2 | 4 | 18 | 6 | 2 | 0 | 333 | 469 | 615 | 1.085 | 282 | 447 | 37 | 8 | 377 | 141 | — | — | — | — | — | — |
| 2024 | 25 | A+ MLE | West Michigan Whitecaps | — | 79 | 71 | 18 | 7 | 0 | 2 | 7 | 31 | 1 | 1 | 0 | 254 | 329 | 437 | 766 | 183 | 407 | 39 | 9 | 324 | 105 | — | — | — | — | — | — |
| 2025 | 26 | A+ MLE | West Michigan Whitecaps | — | 23 | 22 | 5 | 3 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 227 | 261 | 364 | 625 | 136 | 481 | 48 | 4 | 291 | 83 | — | — | — | — | — | — |
| 2023 | 24 | ROK MLE | 2 teams | — | 66 | 55 | 15 | 3 | 1 | 2 | 5 | 28 | 6 | 2 | 0 | 273 | 394 | 473 | 867 | 200 | 520 | 42 | 8 | 348 | 121 | — | — | — | — | — | — |
| 2023 | 24 | ROK RAW | 2 teams | — | 66 | 52 | 21 | 5 | 2 | 2 | 8 | 19 | 6 | 2 | 0 | 404 | 530 | 692 | 1.223 | 288 | 613 | 29 | 12 | 525 | 121 | — | — | — | — | — | — |
| 2024 | 25 | A+ MLE | West Michigan Whitecaps | — | 79 | 71 | 18 | 7 | 0 | 2 | 7 | 31 | 1 | 1 | 0 | 254 | 329 | 437 | 766 | 183 | 421 | 39 | 9 | 324 | 105 | — | — | — | — | — | — |
| 2024 | 25 | A+ RAW | West Michigan Whitecaps | — | 79 | 66 | 21 | 8 | 0 | 2 | 12 | 23 | 1 | 1 | 0 | 318 | 430 | 530 | 961 | 212 | 463 | 29 | 15 | 424 | 105 | — | — | — | — | — | — |
| 2025 | 26 | A+ MLE | West Michigan Whitecaps | — | 23 | 22 | 5 | 3 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 227 | 261 | 364 | 625 | 136 | 455 | 48 | 4 | 291 | 83 | — | — | — | — | — | — |
| 2025 | 26 | A+ RAW | West Michigan Whitecaps | — | 23 | 22 | 8 | 5 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 364 | 391 | 591 | 982 | 227 | 571 | 35 | 4 | 428 | 83 | — | — | — | — | — | — |
| 2023 | 24 | ROK MLE | 2 teams | — | 66 | 55 | 15 | 3 | 1 | 2 | 5 | 28 | 6 | 2 | 0 | 273 | 394 | 473 | 867 | 200 | 476 | 42 | 8 | 348 | 121 | — | — | — | — | — | — |
| 2024 | 25 | A+ MLE | West Michigan Whitecaps | — | 79 | 71 | 18 | 7 | 0 | 2 | 7 | 31 | 1 | 1 | 0 | 254 | 329 | 437 | 766 | 183 | 407 | 39 | 9 | 324 | 105 | — | — | — | — | — | — |
| 2025 | 26 | A+ MLE | West Michigan Whitecaps | — | 23 | 22 | 5 | 3 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 227 | 261 | 364 | 625 | 136 | 481 | 48 | 4 | 291 | 83 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 25 | A+ MLE | West Michigan Whitecaps | — | 79 | 71 | 18 | 7 | 0 | 2 | 7 | 31 | 1 | 1 | 0 | 254 | 329 | 437 | 766 | 183 | 407 | 39 | 9 | 324 | 105 | — | — | — | — | — | — |
| 2025 | 26 | A+ MLE | West Michigan Whitecaps | — | 23 | 22 | 5 | 3 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 227 | 261 | 364 | 625 | 136 | 481 | 48 | 4 | 291 | 83 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB MLE | DET | 0% | 200 | 181 | 37 | 10 | 1 | 3 | 15 | 64 | 2 | 3 | 1 | 204 | 272 | 318 | 590 | 114 | 293 | 32 | 8 | 267 | 67 | -8 | +0 | +0 | -1 | +4 | -0.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 29 | MLB MLE | DET | 22% | 68 | 62 | 12 | 3 | 0 | 1 | 5 | 22 | 1 | 1 | 0 | 204 | 272 | 316 | 588 | 112 | 292 | 32 | 7 | 266 | 66 | -3 | +0 | -1 | -0 | +1 | -0.3 |
| 2028 | 29 | MLB CTX | DET | 22% | 15 | 14 | 3 | 1 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 200 | 268 | 309 | 578 | 109 | 287 | 33 | 7 | 262 | 66 | -1 | +0 | -0 | -0 | +0 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 15 | 14 | 3 | 1 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 214 | 267 | 286 | 552 | 71 | 333 | 33 | 7 | 262 | 91 | -1 | +0 | -0 | -0 | +0 | -0.1 | |
| / 162G | — | A+C | — | 650 | 607 | 130 | 43 | 0 | 0 | 43 | 217 | 0 | 0 | 0 | 214 | 266 | 285 | 551 | 71 | 333 | 33 | 7 | 262 | 91 | -26 | +0 | -13 | -4 | +14 | -3.0 | |
| Career | — | MLE | — | 283 | 253 | 58 | 18 | 1 | 6 | 22 | 107 | 8 | 5 | 0 | 229 | 311 | 379 | 690 | 150 | 371 | 38 | 8 | 303 | 91 | -5 | +0 | -1 | -1 | +2 | -0.4 | |
| / 162G | — | MLE | — | 650 | 581 | 133 | 41 | 2 | 14 | 51 | 246 | 18 | 11 | 0 | 229 | 311 | 379 | 689 | 150 | 371 | 38 | 8 | 303 | 91 | -26 | +2 | -8 | -4 | +14 | -2.2 | |
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.
2025 A+West Michigan Whitecaps · 23 PAwOBA .415 → .291 (−124)K% 34.8% → 46.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.78% | ÷0.960 | ×1.270 | — | — | 46.02% |
| BB% (unintentional) /PA | 4.35% | ÷1.106 | ×0.710 | — | ×0.968 | 2.70% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.968 | 0.00% |
| Singles /BIP | 21.43% | ÷1.027 | ×0.920 | — | ×0.968 | 18.58% |
| Doubles /BIP | 35.71% | ÷0.948 | ×0.810 | — | ×0.968 | 29.55% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | — | ×0.968 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.850 | ×0.800 | — | ×0.968 | 0.00% |
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 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).
Result: wOBA .415 → .291; ISO .227 → .158; BABIP .571 → .481. 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 · 79 PAwOBA .410 → .324 (−86)K% 29.1% → 38.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.11% | ÷0.957 | ×1.270 | — | — | 38.65% |
| BB% (unintentional) /PA | 13.92% | ÷1.026 | ×0.710 | — | ×0.978 | 9.42% |
| HBP% /PA | 1.27% | — | ×0.790 | — | ×0.978 | 0.98% |
| Singles /BIP | 25.58% | ÷1.021 | ×0.920 | — | ×0.978 | 22.55% |
| Doubles /BIP | 18.60% | ÷0.892 | ×0.810 | — | ×0.978 | 16.53% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | — | ×0.978 | 0.00% |
| Home runs /BIP | 4.65% | ÷0.889 | ×0.800 | — | ×0.978 | 4.10% |
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 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .410 → .324; ISO .212 → .176; BABIP .463 → .407. 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 · 49 PAwOBA .550 → .377 (−173)K% 24.5% → 36.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.49% | ÷0.972 | ×1.440 | — | — | 36.28% |
| BB% (unintentional) /PA | 12.24% | ÷0.987 | ×0.620 | — | ×0.955 | 7.34% |
| HBP% /PA | 12.24% | — | ×0.720 | — | ×0.955 | 8.42% |
| Singles /BIP | 36.00% | ÷0.987 | ×0.820 | — | ×0.955 | 28.55% |
| Doubles /BIP | 16.00% | ÷1.014 | ×0.720 | — | ×0.955 | 10.85% |
| Triples /BIP | 4.00% | ÷1.150 | ×0.720 | — | ×0.955 | 2.39% |
| Home runs /BIP | 8.00% | ÷0.924 | ×0.780 | — | ×0.955 | 6.45% |
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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .550 → .377; ISO .324 → .222; BABIP .609 → .447. 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 · 17 PAwOBA .402 → .263 (−139)K% 41.2% → 57.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 41.18% | ÷0.975 | ×1.360 | — | — | 57.42% |
| BB% (unintentional) /PA | 11.76% | ÷1.089 | ×0.690 | — | ×0.980 | 7.31% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.980 | 0.00% |
| Singles /BIP | 37.50% | ÷0.957 | ×0.920 | — | ×0.980 | 35.34% |
| Doubles /BIP | 12.50% | ÷1.056 | ×0.830 | — | ×0.980 | 9.63% |
| Triples /BIP | 12.50% | ÷1.020 | ×0.910 | — | ×0.980 | 10.93% |
| Home runs /BIP | 0.00% | ÷1.216 | ×0.800 | — | ×0.980 | 0.00% |
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 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).
Result: wOBA .402 → .263; ISO .200 → .126; BABIP .625 → .559. 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).