Francisco Medina
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 19 | ROKAZL Giants | 113 | .206/.270/.284 | 1 | 1 | -10 | — | .133/.180/.200 |
| 2018 | 20 | ROKAZL Giants Bl… | 144 | .229/.294/.366 | 2 | 3 | 5 | — | .133/.182/.207 |
| 2019 | 21 | ROKAZL Giants Bl… | 50 | .196/.260/.304 | 0 | 0 | -32 | — | .064/.120/.085 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | DSL Giants | — | 238 | 218 | 53 | 8 | 1 | 7 | 12 | 55 | 8 | 3 | 0 | 243 | 307 | 385 | 692 | 142 | 295 | 23 | 5 | 312 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK | DSL Giants | — | 265 | 228 | 66 | 4 | 1 | 3 | 33 | 39 | 3 | 4 | 1 | 289 | 386 | 355 | 742 | 66 | 339 | 15 | 12 | 342 | 42 | — | — | — | — | — | — |
| 2017 | 19 | ROK | AZL Giants | — | 113 | 102 | 21 | 3 | 1 | 1 | 9 | 37 | 0 | 1 | 2 | 206 | 270 | 284 | 555 | 78 | 312 | 33 | 8 | 250 | -10 | — | — | — | — | — | — |
| 2018 | 20 | ROK | AZL Giants Black | — | 144 | 131 | 30 | 6 | 3 | 2 | 11 | 47 | 1 | 3 | 0 | 229 | 294 | 366 | 660 | 137 | 337 | 33 | 8 | 294 | 5 | — | — | — | — | — | — |
| 2019 | 21 | ROK | AZL Giants Black | — | 50 | 46 | 9 | 3 | 1 | 0 | 3 | 24 | 1 | 0 | 0 | 196 | 260 | 304 | 564 | 109 | 409 | 48 | 6 | 256 | -32 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | DSL Giants | — | 238 | 224 | 34 | 5 | 1 | 3 | 6 | 67 | 8 | 3 | 0 | 152 | 202 | 223 | 425 | 71 | 191 | 28 | 3 | 185 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Giants | — | 265 | 238 | 46 | 3 | 1 | 1 | 23 | 48 | 3 | 4 | 1 | 193 | 273 | 227 | 500 | 34 | 234 | 18 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | AZL Giants | — | 113 | 105 | 14 | 2 | 1 | 1 | 6 | 53 | 0 | 1 | 2 | 133 | 180 | 200 | 380 | 67 | 238 | 47 | 5 | 154 | -10 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | AZL Giants Black | — | 144 | 135 | 18 | 3 | 2 | 1 | 7 | 68 | 1 | 3 | 0 | 133 | 182 | 207 | 389 | 74 | 249 | 47 | 5 | 176 | 5 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Giants Black | — | 50 | 47 | 3 | 1 | 0 | 0 | 2 | 35 | 1 | 0 | 0 | 64 | 120 | 85 | 205 | 21 | 313 | 70 | 4 | 121 | -32 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Giants | — | 238 | 224 | 34 | 5 | 1 | 3 | 6 | 67 | 8 | 3 | 0 | 152 | 202 | 223 | 425 | 71 | 201 | 28 | 3 | 185 | 11 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | DSL Giants | — | 238 | 218 | 53 | 8 | 1 | 7 | 12 | 55 | 8 | 3 | 0 | 243 | 307 | 385 | 692 | 142 | 295 | 23 | 5 | 312 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Giants | — | 265 | 238 | 46 | 3 | 1 | 1 | 23 | 48 | 3 | 4 | 1 | 193 | 273 | 227 | 500 | 34 | 238 | 18 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | DSL Giants | — | 265 | 228 | 66 | 4 | 1 | 3 | 33 | 39 | 3 | 4 | 1 | 289 | 386 | 355 | 742 | 66 | 339 | 15 | 12 | 342 | 42 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | AZL Giants | — | 113 | 105 | 14 | 2 | 1 | 1 | 6 | 53 | 0 | 1 | 2 | 133 | 180 | 200 | 380 | 67 | 255 | 47 | 5 | 154 | -10 | — | — | — | — | — | — |
| 2017 | 19 | ROK RAW | AZL Giants | — | 113 | 102 | 21 | 3 | 1 | 1 | 9 | 37 | 0 | 1 | 2 | 206 | 270 | 284 | 555 | 78 | 312 | 33 | 8 | 250 | -10 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | AZL Giants Black | — | 144 | 135 | 18 | 3 | 2 | 1 | 7 | 68 | 1 | 3 | 0 | 133 | 182 | 207 | 389 | 74 | 254 | 47 | 5 | 176 | 5 | — | — | — | — | — | — |
| 2018 | 20 | ROK RAW | AZL Giants Black | — | 144 | 131 | 30 | 6 | 3 | 2 | 11 | 47 | 1 | 3 | 0 | 229 | 294 | 366 | 660 | 137 | 337 | 33 | 8 | 294 | 5 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Giants Black | — | 50 | 47 | 3 | 1 | 0 | 0 | 2 | 35 | 1 | 0 | 0 | 64 | 120 | 85 | 205 | 21 | 250 | 70 | 4 | 121 | -32 | — | — | — | — | — | — |
| 2019 | 21 | ROK RAW | AZL Giants Black | — | 50 | 46 | 9 | 3 | 1 | 0 | 3 | 24 | 1 | 0 | 0 | 196 | 260 | 304 | 564 | 109 | 409 | 48 | 6 | 256 | -32 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Giants | — | 238 | 222 | 34 | 5 | 1 | 3 | 6 | 67 | 8 | 3 | 0 | 153 | 202 | 225 | 427 | 72 | 191 | 28 | 3 | 185 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Giants | — | 265 | 237 | 46 | 3 | 1 | 1 | 23 | 48 | 3 | 4 | 1 | 194 | 273 | 228 | 501 | 34 | 234 | 18 | 9 | 230 | 42 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | AZL Giants | — | 113 | 106 | 14 | 2 | 1 | 1 | 6 | 53 | 0 | 1 | 2 | 132 | 180 | 198 | 378 | 66 | 238 | 47 | 5 | 154 | -10 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | AZL Giants Black | — | 144 | 135 | 18 | 3 | 2 | 1 | 7 | 68 | 1 | 3 | 0 | 133 | 182 | 207 | 389 | 74 | 249 | 47 | 5 | 176 | 5 | — | — | — | — | — | — |
| 2019 | 21 | ROK MLE | AZL Giants Black | — | 50 | 47 | 3 | 1 | 0 | 0 | 2 | 35 | 1 | 0 | 0 | 64 | 120 | 85 | 205 | 21 | 313 | 70 | 4 | 121 | -32 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 810 | 749 | 115 | 14 | 5 | 6 | 44 | 271 | 13 | 11 | 3 | 154 | 213 | 210 | 423 | 56 | 230 | 33 | 5 | 190 | 15 | -82 | +1 | +0 | +3 | +18 | -6.2 | |
| / 162G | — | MLE | — | 650 | 601 | 92 | 11 | 4 | 5 | 35 | 217 | 10 | 9 | 2 | 153 | 212 | 210 | 421 | 57 | 229 | 33 | 5 | 190 | 15 | -66 | +1 | +0 | +2 | +14 | -5.0 | |
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.
2019 ROKAZL Giants Black · 50 PAwOBA .250 → .121 (−129)K% 48.0% → 69.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 48.00% | ÷1.000 | ×1.440 | — | — | 69.12% |
| BB% (unintentional) /PA | 6.00% | ÷1.000 | ×0.620 | — | ×0.985 | 3.66% |
| HBP% /PA | 2.00% | — | ×0.720 | — | ×0.985 | 1.42% |
| Singles /BIP | 22.73% | ÷1.000 | ×0.820 | — | ×0.985 | 18.36% |
| Doubles /BIP | 13.64% | ÷1.000 | ×0.720 | — | ×0.985 | 9.67% |
| Triples /BIP | 4.55% | ÷1.000 | ×0.720 | — | ×0.985 | 3.22% |
| 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 .250 → .121; ISO .109 → .045; BABIP .409 → .313. 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).
2018 ROKAZL Giants Black · 144 PAwOBA .288 → .176 (−112)K% 32.6% → 47.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.64% | ÷1.000 | ×1.440 | — | — | 47.00% |
| BB% (unintentional) /PA | 7.64% | ÷1.000 | ×0.620 | — | ×0.995 | 4.71% |
| HBP% /PA | 0.69% | — | ×0.720 | — | ×0.995 | 0.50% |
| Singles /BIP | 22.62% | ÷1.000 | ×0.820 | ×0.950 | ×0.995 | 17.53% |
| Doubles /BIP | 7.14% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 4.86% |
| Triples /BIP | 3.57% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 2.43% |
| Home runs /BIP | 2.38% | ÷1.000 | ×0.780 | — | ×0.995 | 1.85% |
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 ×0.950.
Result: wOBA .288 → .176; ISO .137 → .080; BABIP .337 → .249. 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 ROKAZL Giants · 113 PAwOBA .244 → .154 (−90)K% 32.7% → 47.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.74% | ÷1.000 | ×1.440 | — | — | 47.15% |
| BB% (unintentional) /PA | 7.96% | ÷1.000 | ×0.620 | — | ×1.008 | 4.98% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×1.008 | 0.00% |
| Singles /BIP | 24.62% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 19.32% |
| Doubles /BIP | 4.62% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 3.18% |
| Triples /BIP | 1.54% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 1.06% |
| Home runs /BIP | 1.54% | ÷1.000 | ×0.780 | — | ×1.008 | 1.21% |
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 ×0.950.
Result: wOBA .244 → .154; ISO .078 → .047; BABIP .312 → .238. 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 DSLDSL Giants · 265 PAwOBA .334 → .230 (−104)K% 14.7% → 18.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.72% | ÷1.000 | ×1.220 | — | — | 17.95% |
| BB% (unintentional) /PA | 12.45% | ÷1.000 | ×0.700 | — | ×1.008 | 8.78% |
| HBP% /PA | 1.13% | — | ×0.700 | — | ×1.008 | 0.80% |
| Singles /BIP | 30.69% | ÷1.000 | ×0.680 | ×1.026 | ×1.008 | 21.57% |
| Doubles /BIP | 2.12% | ÷1.000 | ×0.600 | ×1.026 | ×1.008 | 1.31% |
| Triples /BIP | 0.53% | ÷1.000 | ×0.600 | ×1.026 | ×1.008 | 0.33% |
| Home runs /BIP | 1.59% | ÷1.000 | ×0.470 | — | ×1.008 | 0.75% |
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 ×1.026.
Result: wOBA .334 → .230; ISO .066 → .036; BABIP .339 → .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).
2015 DSLDSL Giants · 238 PAwOBA .298 → .185 (−113)K% 23.1% → 28.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.11% | ÷1.000 | ×1.220 | — | — | 28.19% |
| BB% (unintentional) /PA | 3.78% | ÷1.000 | ×0.700 | — | ×1.022 | 2.71% |
| HBP% /PA | 3.36% | — | ×0.700 | — | ×1.022 | 2.41% |
| Singles /BIP | 22.70% | ÷1.000 | ×0.680 | ×0.978 | ×1.022 | 15.44% |
| Doubles /BIP | 4.91% | ÷1.000 | ×0.600 | ×0.978 | ×1.022 | 2.95% |
| Triples /BIP | 0.61% | ÷1.000 | ×0.600 | ×0.978 | ×1.022 | 0.37% |
| Home runs /BIP | 4.29% | ÷1.000 | ×0.470 | — | ×1.022 | 2.06% |
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 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 ×0.978.
Result: wOBA .298 → .185; ISO .142 → .072; BABIP .295 → .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).