Brian Holberton
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 21 | ROKGreeneville A… | 150 | .225/.380/.400 | 5 | 2 | 64 | — | .176/.280/.305 |
| 2014 | 22 | AKC | 334 | .253/.331/.380 | 6 | 0 | 59 | — | .212/.271/.306 |
| 2015 | 23 | A+Lancaster Jet… | 236 | .244/.333/.393 | 4 | 1 | 70 | — | .215/.281/.340 |
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) | |||||||||||||||||||||||||||||||
| 2013 | 21 | ROK | Greeneville Astros | — | 150 | 120 | 27 | 6 | 0 | 5 | 26 | 21 | 4 | 2 | 1 | 225 | 380 | 400 | 780 | 175 | 234 | 14 | 17 | 358 | 64 | — | — | — | — | — | — |
| 2014 | 22 | A | Quad Cities River Bandits | — | 334 | 297 | 75 | 18 | 1 | 6 | 33 | 42 | 2 | 0 | 1 | 253 | 331 | 380 | 712 | 128 | 276 | 13 | 10 | 320 | 59 | — | — | — | — | — | — |
| 2015 | 23 | A+ | Lancaster JetHawks | — | 236 | 201 | 49 | 12 | 3 | 4 | 25 | 25 | 2 | 1 | 2 | 244 | 333 | 393 | 726 | 149 | 253 | 11 | 11 | 316 | 70 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 21 | ROK MLE | Greeneville Astros | — | 150 | 131 | 23 | 5 | 0 | 4 | 15 | 30 | 4 | 2 | 1 | 176 | 280 | 305 | 585 | 130 | 191 | 20 | 10 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Quad Cities River Bandits | — | 334 | 307 | 65 | 15 | 1 | 4 | 23 | 57 | 2 | 0 | 1 | 212 | 271 | 306 | 577 | 94 | 244 | 17 | 7 | 256 | 59 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 236 | 209 | 45 | 10 | 2 | 4 | 17 | 36 | 2 | 1 | 2 | 215 | 281 | 340 | 620 | 124 | 226 | 15 | 7 | 271 | 70 | — | — | — | — | — | — |
| 2013 | 21 | ROK MLE | Greeneville Astros | — | 150 | 131 | 23 | 5 | 0 | 4 | 15 | 30 | 4 | 2 | 1 | 176 | 280 | 305 | 585 | 130 | 196 | 20 | 10 | 263 | 64 | — | — | — | — | — | — |
| 2013 | 21 | ROK RAW | Greeneville Astros | — | 150 | 120 | 27 | 6 | 0 | 5 | 26 | 21 | 4 | 2 | 1 | 225 | 380 | 400 | 780 | 175 | 234 | 14 | 17 | 358 | 64 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Quad Cities River Bandits | — | 334 | 307 | 65 | 15 | 1 | 4 | 23 | 57 | 2 | 0 | 1 | 212 | 271 | 306 | 577 | 94 | 247 | 17 | 7 | 256 | 59 | — | — | — | — | — | — |
| 2014 | 22 | A RAW | Quad Cities River Bandits | — | 334 | 297 | 75 | 18 | 1 | 6 | 33 | 42 | 2 | 0 | 1 | 253 | 331 | 380 | 712 | 128 | 276 | 13 | 10 | 320 | 59 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 236 | 209 | 45 | 10 | 2 | 4 | 17 | 36 | 2 | 1 | 2 | 215 | 281 | 340 | 620 | 124 | 234 | 15 | 7 | 271 | 70 | — | — | — | — | — | — |
| 2015 | 23 | A+ RAW | Lancaster JetHawks | — | 236 | 201 | 49 | 12 | 3 | 4 | 25 | 25 | 2 | 1 | 2 | 244 | 333 | 393 | 726 | 149 | 253 | 11 | 11 | 316 | 70 | — | — | — | — | — | — |
| 2013 | 21 | ROK MLE | Greeneville Astros | — | 150 | 130 | 23 | 5 | 0 | 4 | 15 | 30 | 4 | 2 | 1 | 177 | 280 | 308 | 588 | 131 | 191 | 20 | 10 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Quad Cities River Bandits | — | 334 | 306 | 65 | 15 | 1 | 4 | 23 | 57 | 2 | 0 | 1 | 212 | 271 | 307 | 578 | 95 | 244 | 17 | 7 | 256 | 59 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Lancaster JetHawks | — | 236 | 215 | 45 | 10 | 2 | 4 | 17 | 36 | 2 | 1 | 2 | 209 | 281 | 330 | 611 | 121 | 226 | 15 | 7 | 271 | 70 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 720 | 647 | 133 | 30 | 3 | 12 | 55 | 123 | 8 | 3 | 4 | 206 | 276 | 317 | 593 | 111 | 233 | 17 | 8 | 262 | 64 | -31 | -1 | +0 | +13 | +16 | -0.4 | |
| / 162G | — | MLE | — | 650 | 584 | 120 | 27 | 3 | 11 | 50 | 111 | 7 | 3 | 4 | 205 | 276 | 318 | 595 | 113 | 233 | 17 | 8 | 262 | 64 | -28 | -1 | +0 | +12 | +14 | -0.3 | |
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.
2015 A+Lancaster JetHawks · 236 PAwOBA .316 → .271 (−45)K% 10.6% → 15.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.59% | ÷0.924 | ×1.340 | — | — | 15.37% |
| BB% (unintentional) /PA | 10.59% | ÷1.031 | ×0.710 | — | ×0.998 | 7.28% |
| HBP% /PA | 0.85% | — | ×0.790 | — | ×0.998 | 0.67% |
| Singles /BIP | 17.05% | ÷0.985 | ×0.910 | ×1.020 | ×0.998 | 16.03% |
| Doubles /BIP | 6.82% | ÷1.005 | ×0.820 | ×1.020 | ×0.998 | 5.66% |
| Triples /BIP | 1.70% | ÷1.150 | ×0.760 | ×1.020 | ×0.998 | 1.15% |
| Home runs /BIP | 2.27% | ÷0.964 | ×0.920 | — | ×0.998 | 2.17% |
Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.020.
Result: wOBA .316 → .271; ISO .149 → .130; BABIP .253 → .226. 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 AQuad Cities River Bandits · 334 PAwOBA .313 → .256 (−57)K% 12.6% → 17.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.57% | ÷1.004 | ×1.360 | — | — | 17.04% |
| BB% (unintentional) /PA | 9.88% | ÷1.005 | ×0.690 | — | — | 6.78% |
| HBP% /PA | 0.60% | — | ×0.780 | — | — | 0.47% |
| Singles /BIP | 19.61% | ÷1.003 | ×0.920 | ×0.995 | — | 17.90% |
| Doubles /BIP | 7.06% | ÷0.999 | ×0.830 | ×0.995 | — | 5.83% |
| Triples /BIP | 0.39% | ÷1.013 | ×0.910 | ×0.995 | — | 0.35% |
| Home runs /BIP | 2.35% | ÷1.084 | ×0.800 | — | — | 1.74% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.
Result: wOBA .313 → .256; ISO .128 → .100; BABIP .276 → .244. 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 ROKGreeneville Astros · 150 PAwOBA .345 → .263 (−82)K% 14.0% → 19.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.00% | ÷1.000 | ×1.420 | — | — | 19.88% |
| BB% (unintentional) /PA | 16.00% | ÷1.000 | ×0.640 | — | ×0.985 | 10.09% |
| HBP% /PA | 2.67% | — | ×0.740 | — | ×0.985 | 1.94% |
| Singles /BIP | 16.16% | ÷1.000 | ×0.840 | ×1.033 | ×0.985 | 13.81% |
| Doubles /BIP | 6.06% | ÷1.000 | ×0.740 | ×1.033 | ×0.985 | 4.56% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.740 | ×1.033 | ×0.985 | 0.00% |
| Home runs /BIP | 5.05% | ÷1.000 | ×0.800 | — | ×0.985 | 3.98% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .345 → .263; ISO .175 → .140; BABIP .234 → .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).