Cesar Gonzalez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 21 | ROKGCL Tigers We… | 16 | .267/.312/.467 | 0 | 0 | 20 | — | .200/.250/.333 |
| 2017 | 22 | ROKFCL Tigers Ea… | 97 | .289/.340/.422 | 2 | 2 | 36 | — | .183/.216/.258 |
| 2018 | 23 | ADET | 40 | .105/.128/.132 | 0 | 1 | -59 | — | .079/.103/.105 |
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) | |||||||||||||||||||||||||||||||
| 2013 | 18 | ROK | DSL Tigers | — | 166 | 150 | 22 | 5 | 0 | 1 | 11 | 50 | 2 | 3 | 2 | 147 | 215 | 200 | 415 | 53 | 212 | 30 | 7 | 194 | -29 | — | — | — | — | — | — |
| 2014 | 19 | ROK | DSL Tigers | — | 263 | 225 | 77 | 15 | 6 | 1 | 29 | 52 | 7 | 31 | 9 | 342 | 433 | 476 | 909 | 133 | 437 | 20 | 11 | 404 | 70 | — | — | — | — | — | — |
| 2015 | 20 | ROK | GCL Tigers | — | 133 | 117 | 31 | 4 | 1 | 0 | 11 | 39 | 1 | 2 | 2 | 265 | 333 | 316 | 650 | 51 | 397 | 29 | 8 | 291 | 23 | — | — | — | — | — | — |
| 2016 | 21 | ROK | GCL Tigers West | — | 16 | 15 | 4 | 3 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 267 | 312 | 467 | 779 | 200 | 400 | 31 | 6 | 341 | 20 | — | — | — | — | — | — |
| 2017 | 22 | ROK | FCL Tigers East | — | 97 | 90 | 26 | 4 | 1 | 2 | 7 | 23 | 0 | 2 | 1 | 289 | 340 | 422 | 762 | 133 | 369 | 24 | 7 | 340 | 36 | — | — | — | — | — | — |
| 2018 | 23 | A | West Michigan Whitecaps | — | 40 | 38 | 4 | 1 | 0 | 0 | 0 | 15 | 1 | 1 | 0 | 105 | 128 | 132 | 260 | 26 | 174 | 38 | 0 | 118 | -59 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 18 | ROK MLE | DSL Tigers | — | 166 | 153 | 14 | 3 | 0 | 0 | 8 | 61 | 2 | 3 | 2 | 92 | 147 | 111 | 258 | 20 | 146 | 37 | 5 | 125 | -29 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | DSL Tigers | — | 263 | 234 | 52 | 9 | 4 | 0 | 20 | 63 | 7 | 31 | 9 | 222 | 303 | 295 | 598 | 73 | 299 | 24 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | GCL Tigers | — | 133 | 121 | 24 | 3 | 1 | 0 | 7 | 56 | 1 | 2 | 2 | 198 | 248 | 240 | 488 | 41 | 333 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | GCL Tigers West | — | 16 | 15 | 3 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 200 | 250 | 333 | 583 | 133 | 294 | 44 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | FCL Tigers East | — | 97 | 93 | 17 | 2 | 1 | 1 | 4 | 33 | 0 | 2 | 1 | 183 | 216 | 258 | 475 | 75 | 284 | 34 | 4 | 222 | 36 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | West Michigan Whitecaps | — | 40 | 38 | 3 | 1 | 0 | 0 | 0 | 21 | 1 | 1 | 0 | 79 | 103 | 105 | 208 | 26 | 152 | 52 | 0 | 81 | -59 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | DSL Tigers | — | 166 | 153 | 14 | 3 | 0 | 0 | 8 | 61 | 2 | 3 | 2 | 92 | 147 | 111 | 258 | 20 | 152 | 37 | 5 | 125 | -29 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | DSL Tigers | — | 166 | 150 | 22 | 5 | 0 | 1 | 11 | 50 | 2 | 3 | 2 | 147 | 215 | 200 | 415 | 53 | 212 | 30 | 7 | 194 | -29 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | DSL Tigers | — | 263 | 234 | 52 | 9 | 4 | 0 | 20 | 63 | 7 | 31 | 9 | 222 | 303 | 295 | 598 | 73 | 301 | 24 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | DSL Tigers | — | 263 | 225 | 77 | 15 | 6 | 1 | 29 | 52 | 7 | 31 | 9 | 342 | 433 | 476 | 909 | 133 | 437 | 20 | 11 | 404 | 70 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | GCL Tigers | — | 133 | 121 | 24 | 3 | 1 | 0 | 7 | 56 | 1 | 2 | 2 | 198 | 248 | 240 | 488 | 41 | 369 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2015 | 20 | ROK RAW | GCL Tigers | — | 133 | 117 | 31 | 4 | 1 | 0 | 11 | 39 | 1 | 2 | 2 | 265 | 333 | 316 | 650 | 51 | 397 | 29 | 8 | 291 | 23 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | GCL Tigers West | — | 16 | 15 | 3 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 200 | 250 | 333 | 583 | 133 | 375 | 44 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2016 | 21 | ROK RAW | GCL Tigers West | — | 16 | 15 | 4 | 3 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 267 | 312 | 467 | 779 | 200 | 400 | 31 | 6 | 341 | 20 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | FCL Tigers East | — | 97 | 93 | 17 | 2 | 1 | 1 | 4 | 33 | 0 | 2 | 1 | 183 | 216 | 258 | 475 | 75 | 271 | 34 | 4 | 222 | 36 | — | — | — | — | — | — |
| 2017 | 22 | ROK RAW | FCL Tigers East | — | 97 | 90 | 26 | 4 | 1 | 2 | 7 | 23 | 0 | 2 | 1 | 289 | 340 | 422 | 762 | 133 | 369 | 24 | 7 | 340 | 36 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | West Michigan Whitecaps | — | 40 | 38 | 3 | 1 | 0 | 0 | 0 | 21 | 1 | 1 | 0 | 79 | 103 | 105 | 208 | 26 | 176 | 52 | 0 | 81 | -59 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | West Michigan Whitecaps | — | 40 | 38 | 4 | 1 | 0 | 0 | 0 | 15 | 1 | 1 | 0 | 105 | 128 | 132 | 260 | 26 | 174 | 38 | 0 | 118 | -59 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | DSL Tigers | — | 166 | 155 | 14 | 3 | 0 | 0 | 8 | 61 | 2 | 3 | 2 | 90 | 147 | 110 | 257 | 19 | 146 | 37 | 5 | 125 | -29 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | DSL Tigers | — | 263 | 234 | 52 | 9 | 4 | 0 | 20 | 63 | 7 | 31 | 9 | 222 | 303 | 295 | 598 | 73 | 299 | 24 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | GCL Tigers | — | 133 | 124 | 24 | 3 | 1 | 0 | 7 | 56 | 1 | 2 | 2 | 194 | 248 | 234 | 482 | 40 | 333 | 42 | 5 | 202 | 23 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | GCL Tigers West | — | 16 | 15 | 3 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 200 | 250 | 333 | 583 | 133 | 294 | 44 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | FCL Tigers East | — | 97 | 93 | 17 | 2 | 1 | 1 | 4 | 33 | 0 | 2 | 1 | 183 | 216 | 258 | 475 | 75 | 284 | 34 | 4 | 222 | 36 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | West Michigan Whitecaps | — | 40 | 39 | 3 | 1 | 0 | 0 | 0 | 21 | 1 | 1 | 0 | 77 | 103 | 103 | 205 | 26 | 152 | 52 | 0 | 81 | -59 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 715 | 654 | 113 | 20 | 6 | 1 | 40 | 241 | 11 | 39 | 14 | 173 | 233 | 226 | 459 | 54 | 271 | 34 | 6 | 205 | 25 | -64 | +2 | +0 | +3 | +15 | -4.4 | |
| / 162G | — | MLE | — | 650 | 595 | 102 | 18 | 5 | 1 | 36 | 219 | 10 | 35 | 13 | 171 | 231 | 224 | 454 | 52 | 268 | 34 | 6 | 205 | 25 | -58 | +2 | +0 | +2 | +14 | -4.1 | |
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.
2018 AWest Michigan Whitecaps · 40 PAwOBA .115 → .081 (−35)K% 37.5% → 52.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.50% | ÷0.971 | ×1.360 | — | — | 52.52% |
| BB% (unintentional) /PA | 0.00% | ÷0.988 | ×0.690 | — | ×0.990 | 0.00% |
| HBP% /PA | 2.50% | — | ×0.780 | — | ×0.990 | 1.93% |
| Singles /BIP | 13.04% | ÷1.017 | ×0.920 | — | ×0.990 | 11.68% |
| Doubles /BIP | 4.35% | ÷1.024 | ×0.830 | — | ×0.990 | 3.49% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.942 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).
Result: wOBA .115 → .081; ISO .026 → .017; BABIP .174 → .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).
2017 ROKFCL Tigers East · 97 PAwOBA .331 → .222 (−109)K% 23.7% → 34.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.71% | ÷1.000 | ×1.440 | — | — | 34.14% |
| BB% (unintentional) /PA | 7.22% | ÷1.000 | ×0.620 | — | ×0.975 | 4.36% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 28.36% | ÷1.000 | ×0.820 | ×0.996 | ×0.975 | 22.57% |
| Doubles /BIP | 5.97% | ÷1.000 | ×0.720 | ×0.996 | ×0.975 | 4.17% |
| Triples /BIP | 1.49% | ÷1.000 | ×0.720 | ×0.996 | ×0.975 | 1.04% |
| Home runs /BIP | 2.99% | ÷1.000 | ×0.780 | — | ×0.975 | 2.27% |
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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .331 → .222; ISO .133 → .087; BABIP .369 → .284. 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).
2016 ROKGCL Tigers West · 16 PAwOBA .332 → .198 (−133)K% 31.2% → 45.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.25% | ÷1.000 | ×1.440 | — | — | 45.00% |
| BB% (unintentional) /PA | 6.25% | ÷1.000 | ×0.620 | — | ×0.985 | 3.82% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 10.00% | ÷1.000 | ×0.820 | — | ×0.985 | 8.08% |
| Doubles /BIP | 30.00% | ÷1.000 | ×0.720 | — | ×0.985 | 21.28% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.985 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): no park row on file (treated as neutral) — 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 .332 → .198; ISO .200 → .116; BABIP .400 → .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).
2015 ROKGCL Tigers · 133 PAwOBA .284 → .202 (−81)K% 29.3% → 42.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.32% | ÷1.000 | ×1.440 | — | — | 42.23% |
| BB% (unintentional) /PA | 8.27% | ÷1.000 | ×0.620 | — | ×0.995 | 5.10% |
| HBP% /PA | 0.75% | — | ×0.720 | — | ×0.995 | 0.54% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.820 | ×1.046 | ×0.995 | 28.46% |
| Doubles /BIP | 5.13% | ÷1.000 | ×0.720 | ×1.046 | ×0.995 | 3.84% |
| Triples /BIP | 1.28% | ÷1.000 | ×0.720 | ×1.046 | ×0.995 | 0.96% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.
Result: wOBA .284 → .202; ISO .051 → .034; BABIP .397 → .333. 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).
2014 DSLDSL Tigers · 263 PAwOBA .397 → .271 (−126)K% 19.8% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.77% | ÷1.000 | ×1.220 | — | — | 24.12% |
| BB% (unintentional) /PA | 11.03% | ÷1.000 | ×0.700 | — | ×0.995 | 7.68% |
| HBP% /PA | 2.66% | — | ×0.700 | — | ×0.995 | 1.85% |
| Singles /BIP | 31.79% | ÷1.000 | ×0.680 | ×1.049 | ×0.995 | 22.56% |
| Doubles /BIP | 8.67% | ÷1.000 | ×0.600 | ×1.049 | ×0.995 | 5.43% |
| Triples /BIP | 3.47% | ÷1.000 | ×0.600 | ×1.049 | ×0.995 | 2.17% |
| Home runs /BIP | 0.58% | ÷1.000 | ×0.470 | — | ×0.995 | 0.27% |
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 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 ×1.049.
Result: wOBA .397 → .271; ISO .133 → .082; BABIP .437 → .299. 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).
2013 DSLDSL Tigers · 166 PAwOBA .189 → .125 (−64)K% 30.1% → 36.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.12% | ÷1.000 | ×1.220 | — | — | 36.75% |
| BB% (unintentional) /PA | 6.63% | ÷1.000 | ×0.700 | — | ×1.008 | 4.67% |
| HBP% /PA | 1.20% | — | ×0.700 | — | ×1.008 | 0.85% |
| Singles /BIP | 16.00% | ÷1.000 | ×0.680 | ×1.042 | ×1.008 | 11.42% |
| Doubles /BIP | 5.00% | ÷1.000 | ×0.600 | ×1.042 | ×1.008 | 3.15% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.042 | ×1.008 | 0.00% |
| Home runs /BIP | 1.00% | ÷1.000 | ×0.470 | — | ×1.008 | 0.47% |
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 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 ×1.042.
Result: wOBA .189 → .125; ISO .053 → .029; BABIP .212 → .146. 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).