Adrian Hoyte
OF DSL Tigers 1| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 18 | ROKDSL Tigers 1 | 78 | .262/.416/.393 | 0 | 5 | 57 | — | .169/.299/.262 |
| 2025 | 19 | ROKDSL Tigers 2 | 70 | .278/.435/.333 | 0 | 1 | 58 | — | .190/.319/.224 |
| 2026 | 20 | ROKDSL Tigers 1 | 35 | .192/.400/.346 | 0 | 0 | 42 | — | .103/.257/.207 |
| 2027PROJMLE | 21 | MLBDET | 145 | .209/.292/.291 | 1 | 2 | 68 | 0.0 | |
| 2028PROJ34% MLB | 22 | MLBDET | 28 | .210/.292/.299 | 0 | 0 | 72 | -0.0 |
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 | 17 | ROK | DSL Tigers 1 | — | 51 | 42 | 11 | 2 | 0 | 1 | 8 | 11 | 1 | 1 | 3 | 262 | 392 | 381 | 773 | 119 | 333 | 22 | 16 | 357 | 44 | — | — | — | — | — | — |
| 2024 | 18 | ROK | DSL Tigers 1 | — | 78 | 61 | 16 | 6 | 1 | 0 | 12 | 15 | 4 | 5 | 0 | 262 | 416 | 393 | 809 | 131 | 340 | 19 | 15 | 369 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK | DSL Tigers 2 | — | 70 | 54 | 15 | 3 | 0 | 0 | 13 | 11 | 2 | 1 | 1 | 278 | 435 | 333 | 768 | 56 | 341 | 16 | 19 | 361 | 58 | — | — | — | — | — | — |
| 2026 | 20 | ROK | DSL Tigers 1 | — | 35 | 26 | 5 | 2 | 1 | 0 | 9 | 8 | 0 | 0 | 0 | 192 | 400 | 346 | 746 | 154 | 278 | 23 | 26 | 351 | 42 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 17 | ROK MLE | DSL Tigers 1 | — | 51 | 44 | 7 | 1 | 0 | 1 | 6 | 13 | 1 | 1 | 3 | 159 | 275 | 250 | 525 | 91 | 217 | 25 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Tigers 1 | — | 78 | 65 | 11 | 4 | 1 | 0 | 8 | 18 | 4 | 5 | 0 | 169 | 299 | 262 | 560 | 92 | 224 | 23 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Tigers 2 | — | 70 | 58 | 11 | 2 | 0 | 0 | 9 | 14 | 2 | 1 | 1 | 190 | 319 | 224 | 543 | 34 | 228 | 20 | 13 | 254 | 58 | — | — | — | — | — | — |
| 2026 | 20 | ROK MLE | DSL Tigers 1 | — | 35 | 29 | 3 | 1 | 1 | 0 | 6 | 10 | 0 | 0 | 0 | 103 | 257 | 207 | 464 | 103 | 173 | 29 | 17 | 230 | 42 | — | — | — | — | — | — |
| 2023 | 17 | ROK MLE | DSL Tigers 1 | — | 51 | 44 | 7 | 1 | 0 | 1 | 6 | 13 | 1 | 1 | 3 | 159 | 275 | 250 | 525 | 91 | 200 | 25 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2023 | 17 | ROK RAW | DSL Tigers 1 | — | 51 | 42 | 11 | 2 | 0 | 1 | 8 | 11 | 1 | 1 | 3 | 262 | 392 | 381 | 773 | 119 | 333 | 22 | 16 | 357 | 44 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Tigers 1 | — | 78 | 65 | 11 | 4 | 1 | 0 | 8 | 18 | 4 | 5 | 0 | 169 | 299 | 262 | 560 | 92 | 229 | 23 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2024 | 18 | ROK RAW | DSL Tigers 1 | — | 78 | 61 | 16 | 6 | 1 | 0 | 12 | 15 | 4 | 5 | 0 | 262 | 416 | 393 | 809 | 131 | 340 | 19 | 15 | 369 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Tigers 2 | — | 70 | 58 | 11 | 2 | 0 | 0 | 9 | 14 | 2 | 1 | 1 | 190 | 319 | 224 | 543 | 34 | 244 | 20 | 13 | 254 | 58 | — | — | — | — | — | — |
| 2025 | 19 | ROK RAW | DSL Tigers 2 | — | 70 | 54 | 15 | 3 | 0 | 0 | 13 | 11 | 2 | 1 | 1 | 278 | 435 | 333 | 768 | 56 | 341 | 16 | 19 | 361 | 58 | — | — | — | — | — | — |
| 2026 | 20 | ROK MLE | DSL Tigers 1 | — | 35 | 29 | 3 | 1 | 1 | 0 | 6 | 10 | 0 | 0 | 0 | 103 | 257 | 207 | 464 | 103 | 158 | 29 | 17 | 230 | 42 | — | — | — | — | — | — |
| 2026 | 20 | ROK RAW | DSL Tigers 1 | — | 35 | 26 | 5 | 2 | 1 | 0 | 9 | 8 | 0 | 0 | 0 | 192 | 400 | 346 | 746 | 154 | 278 | 23 | 26 | 351 | 42 | — | — | — | — | — | — |
| 2023 | 17 | ROK MLE | DSL Tigers 1 | — | 51 | 44 | 7 | 1 | 0 | 1 | 6 | 13 | 1 | 1 | 3 | 159 | 275 | 250 | 525 | 91 | 217 | 25 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Tigers 1 | — | 78 | 66 | 11 | 4 | 1 | 0 | 8 | 18 | 4 | 5 | 0 | 167 | 299 | 258 | 556 | 91 | 224 | 23 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Tigers 2 | — | 70 | 59 | 11 | 2 | 0 | 0 | 9 | 14 | 2 | 1 | 1 | 186 | 319 | 220 | 539 | 34 | 228 | 20 | 13 | 254 | 58 | — | — | — | — | — | — |
| 2026 | 20 | ROK MLE | DSL Tigers 1 | — | 35 | 29 | 3 | 1 | 1 | 0 | 6 | 10 | 0 | 0 | 0 | 103 | 257 | 207 | 464 | 103 | 173 | 29 | 17 | 230 | 42 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK MLE | DSL Tigers 1 | — | 78 | 66 | 11 | 4 | 1 | 0 | 8 | 18 | 4 | 5 | 0 | 167 | 299 | 258 | 556 | 91 | 224 | 23 | 10 | 252 | 57 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Tigers 2 | — | 70 | 59 | 11 | 2 | 0 | 0 | 9 | 14 | 2 | 1 | 1 | 186 | 319 | 220 | 539 | 34 | 228 | 20 | 13 | 254 | 58 | — | — | — | — | — | — |
| 2026 | 20 | ROK MLE | DSL Tigers 1 | — | 35 | 29 | 3 | 1 | 1 | 0 | 6 | 10 | 0 | 0 | 0 | 103 | 257 | 207 | 464 | 103 | 173 | 29 | 17 | 230 | 42 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 21 | MLB MLE | DET | 0% | 145 | 129 | 27 | 6 | 1 | 1 | 13 | 39 | 2 | 2 | 1 | 209 | 292 | 291 | 583 | 83 | 288 | 27 | 9 | 268 | 68 | -6 | +0 | +0 | -1 | +3 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 22 | MLB MLE | DET | 34% | 82 | 74 | 16 | 3 | 1 | 1 | 7 | 22 | 1 | 1 | 0 | 213 | 296 | 305 | 601 | 92 | 289 | 27 | 9 | 275 | 72 | -3 | +0 | +0 | -0 | +2 | -0.1 |
| 2028 | 22 | MLB CTX | DET | 34% | 28 | 25 | 5 | 1 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 210 | 292 | 299 | 592 | 90 | 285 | 25 | 11 | 272 | 72 | -1 | +0 | +0 | -0 | +1 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 28 | 25 | 5 | 1 | 0 | 0 | 3 | 7 | 0 | 0 | 0 | 200 | 286 | 240 | 526 | 40 | 278 | 25 | 11 | 272 | 58 | -1 | +0 | +0 | -0 | +1 | -0.0 | |
| / 162G | — | A+C | — | 650 | 580 | 116 | 23 | 0 | 0 | 70 | 162 | 0 | 0 | 0 | 200 | 286 | 240 | 526 | 40 | 278 | 25 | 11 | 272 | 58 | -21 | +0 | +0 | -4 | +14 | -1.1 | |
| Career | — | MLE | — | 345 | 296 | 53 | 12 | 3 | 2 | 39 | 85 | 8 | 8 | 4 | 179 | 292 | 260 | 552 | 81 | 242 | 25 | 11 | 254 | 58 | -4 | +0 | +0 | -1 | +2 | -0.2 | |
| / 162G | — | MLE | — | 650 | 558 | 101 | 23 | 6 | 4 | 73 | 160 | 15 | 15 | 8 | 181 | 293 | 265 | 558 | 84 | 244 | 25 | 11 | 254 | 58 | -22 | +1 | +0 | -4 | +14 | -1.1 | |
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 DSLDSL Tigers 1 · 35 PAwOBA .344 → .230 (−113)K% 22.9% → 27.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.86% | ÷1.000 | ×1.220 | — | — | 27.89% |
| BB% (unintentional) /PA | 25.71% | ÷1.000 | ×0.700 | — | ×0.985 | 17.73% |
| HBP% /PA | 0.00% | — | ×0.700 | — | ×0.985 | 0.00% |
| Singles /BIP | 11.11% | ÷1.000 | ×0.680 | — | ×0.985 | 7.44% |
| Doubles /BIP | 11.11% | ÷1.000 | ×0.600 | — | ×0.985 | 6.57% |
| Triples /BIP | 5.56% | ÷1.000 | ×0.600 | — | ×0.985 | 3.28% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.985 | 0.00% |
Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .344 → .230; ISO .154 → .096; BABIP .278 → .173. 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 DSLDSL Tigers 2 · 70 PAwOBA .358 → .254 (−104)K% 15.7% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.71% | ÷0.991 | ×1.220 | — | — | 19.35% |
| BB% (unintentional) /PA | 18.57% | ÷0.974 | ×0.700 | — | ×0.995 | 13.28% |
| HBP% /PA | 2.86% | — | ×0.700 | — | ×0.995 | 1.99% |
| Singles /BIP | 27.91% | ÷0.994 | ×0.680 | — | ×0.995 | 18.99% |
| Doubles /BIP | 6.98% | ÷0.962 | ×0.600 | — | ×0.995 | 4.33% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.600 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.048 | ×0.470 | — | ×0.995 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 99, 2B 92, 3B 80, K 98, BB 95 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .358 → .254; ISO .056 → .037; BABIP .341 → .228. 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 DSLDSL Tigers 1 · 78 PAwOBA .365 → .252 (−113)K% 19.2% → 23.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.23% | ÷1.002 | ×1.220 | — | — | 23.43% |
| BB% (unintentional) /PA | 15.38% | ÷1.009 | ×0.700 | — | ×1.008 | 10.76% |
| HBP% /PA | 5.13% | — | ×0.700 | — | ×1.008 | 3.62% |
| Singles /BIP | 19.57% | ÷1.014 | ×0.680 | ×1.012 | ×1.008 | 13.37% |
| Doubles /BIP | 13.04% | ÷0.958 | ×0.600 | ×1.012 | ×1.008 | 8.32% |
| Triples /BIP | 2.17% | ÷1.150 | ×0.600 | ×1.012 | ×1.008 | 1.16% |
| Home runs /BIP | 0.00% | ÷1.105 | ×0.470 | — | ×1.008 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 103, 2B 92, 3B 130, K 100, BB 102 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.
Result: wOBA .365 → .252; ISO .131 → .085; BABIP .340 → .224. 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 DSLDSL Tigers 1 · 51 PAwOBA .349 → .233 (−115)K% 21.6% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.57% | ÷0.995 | ×1.220 | — | — | 26.44% |
| BB% (unintentional) /PA | 15.69% | ÷1.009 | ×0.700 | — | ×1.022 | 11.12% |
| HBP% /PA | 1.96% | — | ×0.700 | — | ×1.022 | 1.40% |
| Singles /BIP | 25.81% | ÷1.058 | ×0.680 | — | ×1.022 | 16.96% |
| Doubles /BIP | 6.45% | ÷0.901 | ×0.600 | — | ×1.022 | 4.39% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.600 | — | ×1.022 | 0.00% |
| Home runs /BIP | 3.23% | ÷0.862 | ×0.470 | — | ×1.022 | 1.80% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 112, 2B 80, 3B 80, K 99, BB 102 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average).
Result: wOBA .349 → .233; ISO .119 → .073; BABIP .333 → .217. 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).