Luis Meza
C FCL Blue Jays| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 18 | ROKTOR | 59 | .192/.271/.212 | 0 | 0 | 6 | — | .167/.237/.185 |
| 2024 | 19 | ROKTOR | 72 | .274/.366/.290 | 0 | 1 | 33 | — | .203/.282/.219 |
| 2025 | 20 | ROKTOR | 50 | .186/.286/.209 | 0 | 0 | -4 | — | .133/.204/.156 |
| 2027PROJMLE | 22 | MLBTOR | 160 | .198/.262/.259 | 1 | 2 | 49 | 0.0 | |
| 2028PROJ34% MLB | 23 | MLBTOR | 22 | .203/.267/.273 | 0 | 0 | 54 | -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. 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.
| 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) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK | DSL Blue Jays | — | 101 | 96 | 22 | 4 | 1 | 0 | 5 | 19 | 0 | 2 | 0 | 229 | 267 | 292 | 559 | 63 | 286 | 19 | 5 | 254 | -6 | — | — | — | — | — | — |
| 2023 | 18 | ROK | FCL Blue Jays | — | 59 | 52 | 10 | 1 | 0 | 0 | 3 | 12 | 3 | 0 | 0 | 192 | 271 | 212 | 483 | 19 | 250 | 20 | 5 | 233 | 6 | — | — | — | — | — | — |
| 2024 | 19 | ROK | FCL Blue Jays | — | 72 | 62 | 17 | 1 | 0 | 0 | 6 | 17 | 3 | 1 | 0 | 274 | 366 | 290 | 657 | 16 | 370 | 24 | 8 | 308 | 33 | — | — | — | — | — | — |
| 2025 | 20 | ROK | FCL Blue Jays | — | 50 | 43 | 8 | 1 | 0 | 0 | 5 | 12 | 1 | 0 | 0 | 186 | 286 | 209 | 495 | 23 | 250 | 24 | 10 | 237 | -4 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK MLE | DSL Blue Jays | — | 101 | 98 | 14 | 2 | 1 | 0 | 3 | 23 | 0 | 2 | 0 | 143 | 168 | 184 | 352 | 41 | 189 | 23 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Blue Jays | — | 59 | 54 | 9 | 1 | 0 | 0 | 2 | 17 | 3 | 0 | 0 | 167 | 237 | 185 | 422 | 19 | 220 | 29 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Blue Jays | — | 72 | 64 | 13 | 1 | 0 | 0 | 4 | 24 | 3 | 1 | 0 | 203 | 282 | 219 | 500 | 16 | 294 | 33 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | FCL Blue Jays | — | 50 | 45 | 6 | 1 | 0 | 0 | 3 | 17 | 1 | 0 | 0 | 133 | 204 | 156 | 360 | 22 | 193 | 34 | 6 | 162 | -4 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Blue Jays | — | 101 | 98 | 14 | 2 | 1 | 0 | 3 | 23 | 0 | 2 | 0 | 143 | 168 | 184 | 352 | 41 | 187 | 23 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2022 | 17 | ROK RAW | DSL Blue Jays | — | 101 | 96 | 22 | 4 | 1 | 0 | 5 | 19 | 0 | 2 | 0 | 229 | 267 | 292 | 559 | 63 | 286 | 19 | 5 | 254 | -6 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Blue Jays | — | 59 | 54 | 9 | 1 | 0 | 0 | 2 | 17 | 3 | 0 | 0 | 167 | 237 | 185 | 422 | 19 | 243 | 29 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2023 | 18 | ROK RAW | FCL Blue Jays | — | 59 | 52 | 10 | 1 | 0 | 0 | 3 | 12 | 3 | 0 | 0 | 192 | 271 | 212 | 483 | 19 | 250 | 20 | 5 | 233 | 6 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Blue Jays | — | 72 | 64 | 13 | 1 | 0 | 0 | 4 | 24 | 3 | 1 | 0 | 203 | 282 | 219 | 500 | 16 | 317 | 33 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2024 | 19 | ROK RAW | FCL Blue Jays | — | 72 | 62 | 17 | 1 | 0 | 0 | 6 | 17 | 3 | 1 | 0 | 274 | 366 | 290 | 657 | 16 | 370 | 24 | 8 | 308 | 33 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | FCL Blue Jays | — | 50 | 45 | 6 | 1 | 0 | 0 | 3 | 17 | 1 | 0 | 0 | 133 | 204 | 156 | 360 | 22 | 207 | 34 | 6 | 162 | -4 | — | — | — | — | — | — |
| 2025 | 20 | ROK RAW | FCL Blue Jays | — | 50 | 43 | 8 | 1 | 0 | 0 | 5 | 12 | 1 | 0 | 0 | 186 | 286 | 209 | 495 | 23 | 250 | 24 | 10 | 237 | -4 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Blue Jays | — | 101 | 97 | 14 | 2 | 1 | 0 | 3 | 23 | 0 | 2 | 0 | 144 | 168 | 186 | 354 | 41 | 189 | 23 | 3 | 159 | -6 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Blue Jays | — | 59 | 54 | 9 | 1 | 0 | 0 | 2 | 17 | 3 | 0 | 0 | 167 | 237 | 185 | 422 | 19 | 220 | 29 | 3 | 177 | 6 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Blue Jays | — | 72 | 65 | 13 | 1 | 0 | 0 | 4 | 24 | 3 | 1 | 0 | 200 | 282 | 215 | 497 | 15 | 294 | 33 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | FCL Blue Jays | — | 50 | 46 | 6 | 1 | 0 | 0 | 3 | 17 | 1 | 0 | 0 | 130 | 204 | 152 | 356 | 22 | 193 | 34 | 6 | 162 | -4 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 19 | ROK MLE | FCL Blue Jays | — | 72 | 65 | 13 | 1 | 0 | 0 | 4 | 24 | 3 | 1 | 0 | 200 | 282 | 215 | 497 | 15 | 294 | 33 | 6 | 217 | 33 | — | — | — | — | — | — |
| 2025 | 20 | ROK MLE | FCL Blue Jays | — | 50 | 46 | 6 | 1 | 0 | 0 | 3 | 17 | 1 | 0 | 0 | 130 | 204 | 152 | 356 | 22 | 193 | 34 | 6 | 162 | -4 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 22 | MLB MLE | TOR | 0% | 160 | 147 | 29 | 4 | 1 | 1 | 10 | 50 | 2 | 2 | 1 | 198 | 262 | 259 | 521 | 61 | 288 | 31 | 6 | 240 | 49 | -10 | +0 | +0 | +3 | +3 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 23 | MLB MLE | TOR | 34% | 66 | 61 | 13 | 2 | 0 | 1 | 4 | 20 | 1 | 1 | 0 | 202 | 266 | 272 | 539 | 70 | 289 | 30 | 6 | 247 | 54 | -4 | +0 | +0 | +1 | +1 | -0.1 |
| 2028 | 23 | MLB CTX | TOR | 34% | 22 | 21 | 4 | 1 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 203 | 267 | 273 | 541 | 70 | 290 | 32 | 5 | 248 | 54 | -1 | +0 | +0 | +0 | +0 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 22 | 21 | 4 | 1 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 190 | 227 | 238 | 465 | 48 | 286 | 32 | 5 | 248 | 18 | -1 | +0 | +0 | +0 | +0 | -0.0 | |
| / 162G | — | A+C | — | 650 | 620 | 119 | 30 | 0 | 0 | 30 | 207 | 0 | 0 | 0 | 192 | 229 | 240 | 470 | 48 | 288 | 32 | 5 | 248 | 18 | -36 | +0 | +0 | +12 | +14 | -1.0 | |
| Career | — | MLE | — | 376 | 348 | 60 | 8 | 1 | 1 | 18 | 110 | 8 | 4 | 0 | 172 | 230 | 210 | 440 | 37 | 247 | 29 | 5 | 195 | 18 | -5 | +0 | +0 | +2 | +2 | -0.1 | |
| / 162G | — | MLE | — | 650 | 602 | 104 | 14 | 2 | 2 | 31 | 190 | 14 | 7 | 0 | 173 | 230 | 213 | 443 | 40 | 247 | 29 | 5 | 195 | 18 | -37 | +1 | +0 | +12 | +14 | -1.0 | |
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 ROKFCL Blue Jays · 50 PAwOBA .236 → .162 (−74)K% 24.0% → 34.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.00% | ÷1.002 | ×1.440 | — | — | 34.50% |
| BB% (unintentional) /PA | 10.00% | ÷1.001 | ×0.620 | — | ×0.985 | 6.10% |
| HBP% /PA | 2.00% | — | ×0.720 | — | ×0.985 | 1.42% |
| Singles /BIP | 22.58% | ÷1.038 | ×0.820 | — | ×0.985 | 17.57% |
| Doubles /BIP | 3.23% | ÷0.956 | ×0.720 | — | ×0.985 | 2.39% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.077 | ×0.780 | — | ×0.985 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 108, 2B 91, 3B 130, K 100, BB 100 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .236 → .162; ISO .023 → .016; BABIP .250 → .193. 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 ROKFCL Blue Jays · 72 PAwOBA .305 → .217 (−88)K% 23.6% → 33.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.61% | ÷1.009 | ×1.440 | — | — | 33.71% |
| BB% (unintentional) /PA | 8.33% | ÷1.042 | ×0.620 | — | ×0.995 | 4.93% |
| HBP% /PA | 4.17% | — | ×0.720 | — | ×0.995 | 2.98% |
| Singles /BIP | 35.56% | ÷1.016 | ×0.820 | — | ×0.995 | 28.55% |
| Doubles /BIP | 2.22% | ÷1.012 | ×0.720 | — | ×0.995 | 1.57% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.925 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 130, K 102, BB 108 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .305 → .217; ISO .016 → .011; BABIP .370 → .294. 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 Blue Jays · 59 PAwOBA .227 → .177 (−50)K% 20.3% → 29.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.34% | ÷1.006 | ×1.440 | — | — | 29.13% |
| BB% (unintentional) /PA | 5.08% | ÷1.000 | ×0.620 | — | ×1.008 | 3.18% |
| HBP% /PA | 5.08% | — | ×0.720 | — | ×1.008 | 3.69% |
| Singles /BIP | 22.50% | ÷0.968 | ×0.820 | ×1.050 | ×1.008 | 20.16% |
| Doubles /BIP | 2.50% | ÷1.008 | ×0.720 | ×1.050 | ×1.008 | 1.89% |
| Triples /BIP | 0.00% | ÷1.042 | ×0.720 | ×1.050 | ×1.008 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.005 | ×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): HR 101, 1B 94, 2B 102, 3B 108, K 101, BB 100 — 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 ×1.050.
Result: wOBA .227 → .177; ISO .019 → .014; BABIP .250 → .220. 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).
2022 DSLDSL Blue Jays · 101 PAwOBA .247 → .159 (−88)K% 18.8% → 22.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.81% | ÷1.008 | ×1.220 | — | — | 22.78% |
| BB% (unintentional) /PA | 4.95% | ÷1.034 | ×0.700 | — | ×1.008 | 3.38% |
| HBP% /PA | 0.00% | — | ×0.700 | — | ×1.008 | 0.00% |
| Singles /BIP | 22.08% | ÷1.011 | ×0.680 | ×0.994 | ×1.008 | 14.88% |
| Doubles /BIP | 5.19% | ÷0.960 | ×0.600 | ×0.994 | ×1.008 | 3.25% |
| Triples /BIP | 1.30% | ÷1.000 | ×0.600 | ×0.994 | ×1.008 | 0.78% |
| Home runs /BIP | 0.00% | ÷1.130 | ×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 126, 1B 102, 2B 92, 3B 100, K 102, BB 107 — 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 ×0.994.
Result: wOBA .247 → .159; ISO .062 → .037; BABIP .286 → .189. 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).