Joan Gutierrez
SS DSL Brewers Blue| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 17 | ROKDSL Brewers 1 | 156 | .159/.314/.238 | 0 | 7 | 4 | — | .096/.218/.141 |
| 2024 | 18 | ROKDSL Brewers 1 | 134 | .153/.288/.216 | 0 | 8 | -8 | — | .095/.205/.129 |
| 2025 | 19 | ROKDSL Brewers B… | 144 | .226/.431/.264 | 0 | 12 | 47 | — | .147/.312/.172 |
| 2027PROJMLE | 21 | MLBMIL | 254 | .205/.289/.277 | 2 | 6 | 64 | 0.0 | |
| 2028PROJ34% MLB | 22 | MLBMIL | 25 | .207/.291/.291 | 0 | 1 | 69 | 0.0 | |
| 2029PROJ50% MLB | 23 | MLBMIL | 78 | .212/.295/.306 | 1 | 2 | 74 | 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 | 17 | ROK | DSL Brewers 1 | — | 156 | 126 | 20 | 6 | 2 | 0 | 27 | 44 | 2 | 7 | 3 | 159 | 314 | 238 | 552 | 79 | 244 | 28 | 17 | 270 | 4 | — | — | — | — | — | — |
| 2024 | 18 | ROK | DSL Brewers 1 | — | 134 | 111 | 17 | 3 | 2 | 0 | 17 | 30 | 4 | 8 | 2 | 153 | 288 | 216 | 504 | 63 | 205 | 22 | 13 | 244 | -8 | — | — | — | — | — | — |
| 2025 | 19 | ROK | DSL Brewers Blue | — | 144 | 106 | 24 | 4 | 0 | 0 | 33 | 25 | 5 | 12 | 4 | 226 | 431 | 264 | 695 | 38 | 296 | 17 | 23 | 347 | 47 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 17 | ROK MLE | DSL Brewers 1 | — | 156 | 135 | 13 | 4 | 1 | 0 | 19 | 54 | 2 | 7 | 3 | 96 | 218 | 141 | 359 | 44 | 152 | 35 | 12 | 174 | 4 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Brewers 1 | — | 134 | 116 | 11 | 2 | 1 | 0 | 12 | 37 | 4 | 8 | 2 | 95 | 205 | 129 | 334 | 34 | 124 | 28 | 9 | 157 | -8 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Brewers Blue | — | 144 | 116 | 17 | 3 | 0 | 0 | 23 | 29 | 5 | 12 | 4 | 147 | 312 | 172 | 485 | 26 | 191 | 20 | 16 | 238 | 47 | — | — | — | — | — | — |
| 2023 | 17 | ROK MLE | DSL Brewers 1 | — | 156 | 135 | 13 | 4 | 1 | 0 | 19 | 54 | 2 | 7 | 3 | 96 | 218 | 141 | 359 | 44 | 160 | 35 | 12 | 174 | 4 | — | — | — | — | — | — |
| 2023 | 17 | ROK RAW | DSL Brewers 1 | — | 156 | 126 | 20 | 6 | 2 | 0 | 27 | 44 | 2 | 7 | 3 | 159 | 314 | 238 | 552 | 79 | 244 | 28 | 17 | 270 | 4 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Brewers 1 | — | 134 | 116 | 11 | 2 | 1 | 0 | 12 | 37 | 4 | 8 | 2 | 95 | 205 | 129 | 334 | 34 | 136 | 28 | 9 | 157 | -8 | — | — | — | — | — | — |
| 2024 | 18 | ROK RAW | DSL Brewers 1 | — | 134 | 111 | 17 | 3 | 2 | 0 | 17 | 30 | 4 | 8 | 2 | 153 | 288 | 216 | 504 | 63 | 205 | 22 | 13 | 244 | -8 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Brewers Blue | — | 144 | 116 | 17 | 3 | 0 | 0 | 23 | 29 | 5 | 12 | 4 | 147 | 312 | 172 | 485 | 26 | 195 | 20 | 16 | 238 | 47 | — | — | — | — | — | — |
| 2025 | 19 | ROK RAW | DSL Brewers Blue | — | 144 | 106 | 24 | 4 | 0 | 0 | 33 | 25 | 5 | 12 | 4 | 226 | 431 | 264 | 695 | 38 | 296 | 17 | 23 | 347 | 47 | — | — | — | — | — | — |
| 2023 | 17 | ROK MLE | DSL Brewers 1 | — | 156 | 134 | 13 | 4 | 1 | 0 | 19 | 54 | 2 | 7 | 3 | 97 | 218 | 142 | 360 | 45 | 152 | 35 | 12 | 174 | 4 | — | — | — | — | — | — |
| 2024 | 18 | ROK MLE | DSL Brewers 1 | — | 134 | 117 | 11 | 2 | 1 | 0 | 12 | 37 | 4 | 8 | 2 | 94 | 205 | 128 | 333 | 34 | 124 | 28 | 9 | 157 | -8 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Brewers Blue | — | 144 | 115 | 17 | 3 | 0 | 0 | 23 | 29 | 5 | 12 | 4 | 148 | 312 | 174 | 486 | 26 | 191 | 20 | 16 | 238 | 47 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 18 | ROK MLE | DSL Brewers 1 | — | 134 | 117 | 11 | 2 | 1 | 0 | 12 | 37 | 4 | 8 | 2 | 94 | 205 | 128 | 333 | 34 | 124 | 28 | 9 | 157 | -8 | — | — | — | — | — | — |
| 2025 | 19 | ROK MLE | DSL Brewers Blue | — | 144 | 115 | 17 | 3 | 0 | 0 | 23 | 29 | 5 | 12 | 4 | 148 | 312 | 174 | 486 | 26 | 191 | 20 | 16 | 238 | 47 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 21 | MLB MLE | MIL | 0% | 254 | 225 | 47 | 8 | 2 | 2 | 23 | 68 | 4 | 6 | 1 | 205 | 289 | 277 | 566 | 72 | 283 | 27 | 9 | 262 | 64 | -11 | +1 | +0 | +3 | +6 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 22 | MLB MLE | MIL | 34% | 73 | 65 | 14 | 2 | 1 | 1 | 7 | 19 | 1 | 2 | 0 | 210 | 294 | 294 | 588 | 84 | 284 | 26 | 10 | 271 | 69 | -3 | +0 | +0 | +1 | +2 | 0.0 |
| 2029 | 23 | MLB MLE | MIL | 50% | 157 | 140 | 30 | 5 | 1 | 2 | 14 | 41 | 2 | 4 | 1 | 214 | 297 | 309 | 606 | 95 | 286 | 26 | 9 | 278 | 74 | -5 | +0 | +0 | +2 | +3 | 0.1 |
| 2030 | 24 | MLB MLE | MIL | 57% | 240 | 213 | 47 | 8 | 2 | 4 | 22 | 62 | 3 | 5 | 1 | 218 | 300 | 321 | 622 | 103 | 287 | 26 | 9 | 284 | 78 | -6 | +1 | +0 | +3 | +5 | 0.2 |
| 2031 | 25 | MLB MLE | MIL | 60% | 311 | 276 | 60 | 10 | 2 | 5 | 28 | 80 | 4 | 7 | 1 | 221 | 303 | 331 | 634 | 111 | 288 | 26 | 9 | 288 | 81 | -7 | +1 | +0 | +3 | +7 | 0.4 |
| 2032 | 26 | MLB MLE | MIL | 62% | 359 | 318 | 72 | 12 | 3 | 7 | 33 | 92 | 5 | 8 | 2 | 223 | 304 | 339 | 643 | 116 | 288 | 26 | 9 | 291 | 83 | -7 | +1 | +0 | +4 | +8 | 0.5 |
| 2033 | 27 | MLB MLE | MIL | 63% | 381 | 338 | 75 | 12 | 3 | 7 | 35 | 98 | 5 | 9 | 2 | 222 | 303 | 336 | 640 | 115 | 288 | 26 | 9 | 290 | 83 | -8 | +1 | +0 | +4 | +8 | 0.6 |
| 2034 | 28 | MLB MLE | MIL | 65% | 391 | 348 | 77 | 13 | 3 | 7 | 35 | 101 | 5 | 8 | 2 | 220 | 301 | 332 | 633 | 112 | 287 | 26 | 9 | 288 | 81 | -9 | +1 | -1 | +4 | +8 | 0.4 |
| 2035 | 29 | MLB MLE | MIL | 65% | 388 | 345 | 76 | 12 | 3 | 7 | 35 | 102 | 5 | 8 | 2 | 218 | 299 | 326 | 625 | 108 | 286 | 26 | 9 | 284 | 78 | -10 | +1 | -1 | +4 | +8 | 0.2 |
| 2028 | 22 | MLB CTX | MIL | 34% | 25 | 23 | 4 | 1 | 0 | 0 | 2 | 7 | 0 | 1 | 0 | 207 | 291 | 291 | 582 | 84 | 280 | 28 | 8 | 268 | 69 | -1 | +0 | +0 | +0 | +1 | 0.0 |
| 2029 | 23 | MLB CTX | MIL | 50% | 78 | 70 | 15 | 2 | 1 | 1 | 7 | 20 | 1 | 2 | 0 | 212 | 295 | 306 | 601 | 94 | 282 | 26 | 9 | 276 | 74 | -2 | +0 | +0 | +1 | +2 | 0.1 |
| 2030 | 24 | MLB CTX | MIL | 57% | 136 | 121 | 26 | 4 | 1 | 2 | 12 | 35 | 2 | 3 | 1 | 216 | 298 | 319 | 617 | 103 | 283 | 26 | 9 | 282 | 78 | -4 | +0 | +0 | +1 | +3 | 0.1 |
| 2031 | 25 | MLB CTX | MIL | 60% | 188 | 166 | 36 | 6 | 1 | 3 | 17 | 48 | 3 | 4 | 1 | 218 | 300 | 329 | 630 | 111 | 283 | 26 | 9 | 286 | 81 | -4 | +0 | +0 | +2 | +4 | 0.2 |
| 2032 | 26 | MLB CTX | MIL | 62% | 224 | 199 | 44 | 7 | 2 | 4 | 20 | 57 | 3 | 5 | 1 | 220 | 302 | 337 | 639 | 117 | 284 | 25 | 9 | 290 | 83 | -4 | +1 | +0 | +2 | +5 | 0.4 |
| 2033 | 27 | MLB CTX | MIL | 63% | 242 | 215 | 47 | 7 | 2 | 5 | 22 | 62 | 3 | 5 | 1 | 219 | 301 | 335 | 636 | 115 | 283 | 26 | 9 | 288 | 83 | -5 | +1 | +0 | +3 | +5 | 0.3 |
| 2034 | 28 | MLB CTX | MIL | 65% | 254 | 226 | 50 | 8 | 2 | 5 | 23 | 66 | 3 | 5 | 1 | 218 | 299 | 330 | 629 | 112 | 282 | 26 | 9 | 286 | 81 | -6 | +1 | -0 | +3 | +6 | 0.3 |
| 2035 | 29 | MLB CTX | MIL | 65% | 252 | 224 | 50 | 8 | 2 | 5 | 23 | 66 | 3 | 5 | 1 | 215 | 297 | 324 | 620 | 109 | 281 | 26 | 9 | 282 | 78 | -6 | +1 | -1 | +3 | +5 | 0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1399 | 1244 | 272 | 43 | 11 | 25 | 126 | 361 | 18 | 30 | 6 | 219 | 300 | 331 | 631 | 113 | 286 | 26 | 9 | 285 | 70 | -33 | +4 | -1 | +15 | +30 | 1.5 | |
| / 162G | — | A+C | — | 650 | 578 | 127 | 20 | 5 | 12 | 59 | 168 | 8 | 14 | 3 | 220 | 301 | 334 | 635 | 114 | 287 | 26 | 9 | 285 | 70 | -15 | +2 | -1 | +7 | +14 | 0.7 | |
| Career | — | MLE | — | 2778 | 2449 | 499 | 84 | 20 | 40 | 267 | 727 | 42 | 79 | 20 | 204 | 293 | 303 | 596 | 100 | 271 | 26 | 10 | 271 | 70 | -57 | +6 | -2 | +25 | +51 | 2.4 | |
| / 162G | — | MLE | — | 650 | 573 | 117 | 20 | 5 | 9 | 62 | 170 | 10 | 18 | 5 | 204 | 293 | 304 | 596 | 99 | 272 | 26 | 10 | 271 | 70 | -16 | +2 | -1 | +7 | +14 | 0.7 | |
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 DSLDSL Brewers Blue · 144 PAwOBA .340 → .238 (−102)K% 17.4% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.36% | ÷1.052 | ×1.220 | — | — | 20.12% |
| BB% (unintentional) /PA | 22.92% | ÷0.984 | ×0.700 | — | ×0.985 | 16.06% |
| HBP% /PA | 3.47% | — | ×0.700 | — | ×0.985 | 2.39% |
| Singles /BIP | 24.69% | ÷1.051 | ×0.680 | ×1.025 | ×0.985 | 16.12% |
| Doubles /BIP | 4.94% | ÷1.017 | ×0.600 | ×1.025 | ×0.985 | 2.94% |
| Triples /BIP | 0.00% | ÷1.042 | ×0.600 | ×1.025 | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.042 | ×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): HR 108, 1B 110, 2B 103, 3B 108, K 110, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.
Result: wOBA .340 → .238; ISO .038 → .025; BABIP .296 → .191. 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 Brewers 1 · 134 PAwOBA .243 → .157 (−86)K% 22.4% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.39% | ÷0.984 | ×1.220 | — | — | 27.75% |
| BB% (unintentional) /PA | 12.69% | ÷0.994 | ×0.700 | — | ×0.995 | 8.89% |
| HBP% /PA | 2.99% | — | ×0.700 | — | ×0.995 | 2.08% |
| Singles /BIP | 14.81% | ÷1.021 | ×0.680 | ×0.957 | ×0.995 | 9.40% |
| Doubles /BIP | 3.70% | ÷1.057 | ×0.600 | ×0.957 | ×0.995 | 2.00% |
| Triples /BIP | 2.47% | ÷1.088 | ×0.600 | ×0.957 | ×0.995 | 1.30% |
| Home runs /BIP | 0.00% | ÷1.098 | ×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 120, 1B 104, 2B 111, 3B 118, K 97, BB 99 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.
Result: wOBA .243 → .157; ISO .063 → .034; BABIP .205 → .124. 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 Brewers 1 · 156 PAwOBA .264 → .174 (−90)K% 28.2% → 34.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.21% | ÷0.992 | ×1.220 | — | — | 34.67% |
| BB% (unintentional) /PA | 17.31% | ÷0.991 | ×0.700 | — | ×1.008 | 12.31% |
| HBP% /PA | 1.28% | — | ×0.700 | — | ×1.008 | 0.90% |
| Singles /BIP | 14.63% | ÷1.015 | ×0.680 | ×0.962 | ×1.008 | 9.50% |
| Doubles /BIP | 7.32% | ÷0.988 | ×0.600 | ×0.962 | ×1.008 | 4.31% |
| Triples /BIP | 2.44% | ÷1.052 | ×0.600 | ×0.962 | ×1.008 | 1.35% |
| Home runs /BIP | 0.00% | ÷1.026 | ×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 105, 1B 103, 2B 98, 3B 110, K 98, BB 98 — 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 ×0.962.
Result: wOBA .264 → .174; ISO .079 → .045; BABIP .244 → .152. 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).