Christofer Reyes
SS FCL Yankees| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 16 | ROKDSL NYY Bombe… | 179 | .250/.346/.314 | 1 | 21 | 21 | — | .161/.246/.193 |
| 2025 | 17 | ROKDSL NYY Bombe… | 165 | .245/.341/.329 | 1 | 26 | 19 | — | .149/.232/.189 |
| 2026 | 18 | A/ROKNYY | 114 | .252/.319/.301 | 0 | 8 | 23 | — | .180/.230/.208 |
| 2027PROJMLE | 19 | MLBNYY | 224 | .191/.252/.256 | 1 | 6 | 44 | -0.2 | |
| 2028PROJ34% MLB | 20 | MLBNYY | 46 | .198/.260/.278 | 0 | 1 | 52 | -0.1 |
Tools · ContractCON 30 / POW 20
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) | |||||||||||||||||||||||||||||||
| 2024 | 16 | ROK | DSL NYY Bombers | — | 179 | 156 | 39 | 5 | 1 | 1 | 18 | 41 | 5 | 21 | 9 | 250 | 346 | 314 | 660 | 64 | 333 | 23 | 10 | 309 | 21 | — | — | — | — | — | — |
| 2025 | 17 | ROK | DSL NYY Bombers | — | 165 | 143 | 35 | 7 | 1 | 1 | 19 | 48 | 2 | 26 | 6 | 245 | 341 | 329 | 670 | 84 | 358 | 29 | 12 | 309 | 19 | — | — | — | — | — | — |
| 2026 | 18 | A | Tampa Tarpons | — | 37 | 34 | 7 | 2 | 0 | 0 | 3 | 15 | 0 | 1 | 1 | 206 | 270 | 265 | 535 | 59 | 368 | 41 | 8 | 248 | 3 | — | — | — | — | — | — |
| 2026 | 18 | ROK | FCL Yankees | — | 77 | 69 | 19 | 3 | 0 | 0 | 6 | 19 | 1 | 7 | 2 | 275 | 342 | 319 | 661 | 43 | 373 | 25 | 8 | 302 | 33 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2024 | 16 | ROK MLE | DSL NYY Bombers | — | 179 | 161 | 26 | 3 | 1 | 0 | 13 | 50 | 5 | 21 | 9 | 161 | 246 | 193 | 438 | 31 | 225 | 28 | 7 | 199 | 21 | — | — | — | — | — | — |
| 2025 | 17 | ROK MLE | DSL NYY Bombers | — | 165 | 148 | 22 | 4 | 1 | 0 | 14 | 59 | 2 | 26 | 6 | 149 | 232 | 189 | 421 | 41 | 234 | 36 | 8 | 196 | 19 | — | — | — | — | — | — |
| 2026 | 18 | A MLE | Tampa Tarpons | — | 37 | 35 | 5 | 1 | 0 | 0 | 2 | 20 | 0 | 1 | 1 | 143 | 189 | 171 | 361 | 29 | 344 | 54 | 5 | 172 | 3 | — | — | — | — | — | — |
| 2026 | 18 | ROK MLE | FCL Yankees | — | 77 | 71 | 14 | 2 | 0 | 0 | 4 | 27 | 1 | 7 | 2 | 197 | 250 | 225 | 475 | 28 | 311 | 35 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2024 | 16 | ROK MLE | DSL NYY Bombers | — | 179 | 161 | 26 | 3 | 1 | 0 | 13 | 50 | 5 | 21 | 9 | 161 | 246 | 193 | 438 | 31 | 234 | 28 | 7 | 199 | 21 | — | — | — | — | — | — |
| 2024 | 16 | ROK RAW | DSL NYY Bombers | — | 179 | 156 | 39 | 5 | 1 | 1 | 18 | 41 | 5 | 21 | 9 | 250 | 346 | 314 | 660 | 64 | 333 | 23 | 10 | 309 | 21 | — | — | — | — | — | — |
| 2025 | 17 | ROK MLE | DSL NYY Bombers | — | 165 | 148 | 22 | 4 | 1 | 0 | 14 | 59 | 2 | 26 | 6 | 149 | 232 | 189 | 421 | 41 | 244 | 36 | 8 | 196 | 19 | — | — | — | — | — | — |
| 2025 | 17 | ROK RAW | DSL NYY Bombers | — | 165 | 143 | 35 | 7 | 1 | 1 | 19 | 48 | 2 | 26 | 6 | 245 | 341 | 329 | 670 | 84 | 358 | 29 | 12 | 309 | 19 | — | — | — | — | — | — |
| 2026 | 18 | ROK MLE | 2 teams | — | 114 | 106 | 19 | 3 | 0 | 0 | 6 | 48 | 1 | 8 | 3 | 179 | 230 | 208 | 438 | 28 | 322 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2026 | 18 | ROK RAW | 2 teams | — | 114 | 103 | 26 | 5 | 0 | 0 | 9 | 34 | 1 | 8 | 3 | 252 | 319 | 301 | 620 | 49 | 371 | 30 | 8 | 285 | 23 | — | — | — | — | — | — |
| 2024 | 16 | ROK MLE | DSL NYY Bombers | — | 179 | 159 | 26 | 3 | 1 | 0 | 13 | 50 | 5 | 21 | 9 | 164 | 246 | 195 | 441 | 31 | 225 | 28 | 7 | 199 | 21 | — | — | — | — | — | — |
| 2025 | 17 | ROK MLE | DSL NYY Bombers | — | 165 | 148 | 22 | 4 | 1 | 0 | 14 | 59 | 2 | 26 | 6 | 149 | 232 | 189 | 421 | 41 | 234 | 36 | 8 | 196 | 19 | — | — | — | — | — | — |
| 2026 | 18 | ROK MLE | 2 teams | — | 114 | 106 | 19 | 3 | 0 | 0 | 6 | 48 | 1 | 8 | 3 | 179 | 230 | 208 | 438 | 28 | 322 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 16 | ROK MLE | DSL NYY Bombers | — | 179 | 159 | 26 | 3 | 1 | 0 | 13 | 50 | 5 | 21 | 9 | 164 | 246 | 195 | 441 | 31 | 225 | 28 | 7 | 199 | 21 | — | — | — | — | — | — |
| 2025 | 17 | ROK MLE | DSL NYY Bombers | — | 165 | 148 | 22 | 4 | 1 | 0 | 14 | 59 | 2 | 26 | 6 | 149 | 232 | 189 | 421 | 41 | 234 | 36 | 8 | 196 | 19 | — | — | — | — | — | — |
| 2026 | 18 | ROK MLE | 2 teams | — | 114 | 106 | 19 | 3 | 0 | 0 | 6 | 48 | 1 | 8 | 3 | 179 | 230 | 208 | 438 | 28 | 322 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 19 | MLB MLE | NYY | 0% | 224 | 206 | 39 | 7 | 1 | 1 | 14 | 64 | 2 | 6 | 1 | 191 | 252 | 256 | 507 | 64 | 267 | 29 | 6 | 233 | 44 | -15 | +1 | +0 | +2 | +5 | -0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 20 | MLB MLE | NYY | 34% | 135 | 123 | 24 | 4 | 1 | 1 | 9 | 38 | 2 | 4 | 1 | 198 | 260 | 275 | 536 | 78 | 270 | 28 | 7 | 245 | 52 | -8 | +0 | +0 | +1 | +3 | -0.3 |
| 2028 | 20 | MLB CTX | NYY | 34% | 46 | 42 | 7 | 1 | 0 | 0 | 3 | 13 | 1 | 1 | 0 | 198 | 260 | 278 | 538 | 80 | 269 | 28 | 7 | 246 | 52 | -3 | +0 | +0 | +0 | +1 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 46 | 42 | 7 | 1 | 0 | 0 | 3 | 13 | 1 | 1 | 0 | 167 | 239 | 190 | 430 | 24 | 241 | 28 | 7 | 246 | 30 | -3 | +0 | +0 | +0 | +1 | -0.1 | |
| / 162G | — | A+C | — | 650 | 593 | 99 | 14 | 0 | 0 | 42 | 184 | 14 | 14 | 0 | 167 | 238 | 191 | 429 | 24 | 242 | 28 | 6 | 246 | 30 | -37 | +3 | +0 | +7 | +14 | -1.4 | |
| Career | — | MLE | — | 663 | 603 | 102 | 16 | 3 | 1 | 46 | 215 | 11 | 61 | 19 | 169 | 241 | 211 | 452 | 41 | 259 | 32 | 7 | 212 | 30 | -12 | +1 | +0 | +2 | +4 | -0.5 | |
| / 162G | — | MLE | — | 650 | 591 | 100 | 16 | 3 | 1 | 45 | 211 | 11 | 60 | 19 | 169 | 241 | 212 | 453 | 42 | 259 | 32 | 7 | 212 | 30 | -39 | +3 | +0 | +7 | +14 | -1.6 | |
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 ROKFCL Yankees · 77 PAwOBA .298 → .217 (−82)K% 24.7% → 35.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.68% | ÷1.000 | ×1.440 | — | — | 35.53% |
| BB% (unintentional) /PA | 7.79% | ÷1.000 | ×0.620 | — | ×1.008 | 4.87% |
| HBP% /PA | 1.30% | — | ×0.720 | — | ×1.008 | 0.94% |
| Singles /BIP | 32.00% | ÷1.000 | ×0.820 | ×1.032 | ×1.008 | 27.27% |
| Doubles /BIP | 6.00% | ÷1.000 | ×0.720 | ×1.032 | ×1.008 | 4.49% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.032 | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 0.00% |
Factors used: level-wide ROK 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.032.
Result: wOBA .298 → .217; ISO .043 → .029; BABIP .373 → .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).
2026 ATampa Tarpons · 37 PAwOBA .242 → .172 (−71)K% 40.5% → 55.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 40.54% | ÷1.000 | ×1.360 | — | — | 55.14% |
| BB% (unintentional) /PA | 8.11% | ÷1.000 | ×0.690 | — | ×1.045 | 5.85% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.045 | 0.00% |
| Singles /BIP | 26.32% | ÷1.000 | ×0.920 | — | ×1.045 | 25.30% |
| Doubles /BIP | 10.53% | ÷1.000 | ×0.830 | — | ×1.045 | 9.13% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.910 | — | ×1.045 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.800 | — | ×1.045 | 0.00% |
Factors used: level-wide A 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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).
Result: wOBA .242 → .172; ISO .059 → .039; BABIP .368 → .344. 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 NYY Bombers · 165 PAwOBA .303 → .196 (−107)K% 29.1% → 35.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.09% | ÷0.997 | ×1.220 | — | — | 35.60% |
| BB% (unintentional) /PA | 11.52% | ÷0.966 | ×0.700 | — | ×1.008 | 8.40% |
| HBP% /PA | 1.21% | — | ×0.700 | — | ×1.008 | 0.85% |
| Singles /BIP | 27.37% | ÷0.985 | ×0.680 | ×0.980 | ×1.008 | 18.64% |
| Doubles /BIP | 7.37% | ÷1.019 | ×0.600 | ×0.980 | ×1.008 | 4.28% |
| Triples /BIP | 1.05% | ÷0.961 | ×0.600 | ×0.980 | ×1.008 | 0.65% |
| Home runs /BIP | 1.05% | ÷1.090 | ×0.470 | — | ×1.008 | 0.46% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 97, 2B 104, 3B 92, K 99, BB 93 — 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 ×0.980.
Result: wOBA .303 → .196; ISO .084 → .044; BABIP .358 → .234. 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 NYY Bombers · 179 PAwOBA .302 → .199 (−102)K% 22.9% → 27.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.91% | ÷1.003 | ×1.220 | — | — | 27.86% |
| BB% (unintentional) /PA | 10.06% | ÷1.005 | ×0.700 | — | ×1.022 | 7.16% |
| HBP% /PA | 2.79% | — | ×0.700 | — | ×1.022 | 2.00% |
| Singles /BIP | 27.83% | ÷1.008 | ×0.680 | ×1.008 | ×1.022 | 19.35% |
| Doubles /BIP | 4.35% | ÷1.038 | ×0.600 | ×1.008 | ×1.022 | 2.59% |
| Triples /BIP | 0.87% | ÷1.150 | ×0.600 | ×1.008 | ×1.022 | 0.47% |
| Home runs /BIP | 0.87% | ÷1.658 | ×0.470 | — | ×1.022 | 0.25% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 232, 1B 102, 2B 108, 3B 130, K 101, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .302 → .199; ISO .064 → .031; BABIP .333 → .225. 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).