Zach Gibbons
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 22 | ROKOrem Owlz | 223 | .351/.441/.513 | 5 | 17 | 97 | — | .271/.333/.384 |
| 2017 | 23 | AA/A+2 orgs | 458 | .264/.326/.365 | 4 | 11 | 63 | — | .236/.280/.320 |
| 2018 | 24 | AAMobile BayBea… | 440 | .261/.332/.365 | 4 | 6 | 66 | — | .231/.277/.319 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 22 | ROK | Orem Owlz | — | 223 | 191 | 67 | 12 | 2 | 5 | 29 | 22 | 2 | 17 | 9 | 351 | 441 | 513 | 955 | 162 | 378 | 10 | 13 | 422 | 97 | — | — | — | — | — | — |
| 2017 | 23 | AA | Mobile BayBears | — | 330 | 301 | 71 | 18 | 0 | 3 | 25 | 47 | 1 | 6 | 2 | 236 | 297 | 326 | 622 | 90 | 269 | 14 | 8 | 281 | 44 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Inland Empire 66ers | — | 128 | 115 | 39 | 6 | 3 | 1 | 12 | 15 | 0 | 5 | 0 | 339 | 402 | 470 | 871 | 130 | 380 | 12 | 9 | 385 | 113 | — | — | — | — | — | — |
| 2018 | 24 | AA | Mobile BayBears | — | 440 | 395 | 103 | 21 | 4 | 4 | 42 | 59 | 0 | 6 | 5 | 261 | 332 | 365 | 696 | 104 | 296 | 13 | 10 | 314 | 66 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 22 | ROK MLE | Orem Owlz | — | 223 | 203 | 55 | 9 | 1 | 4 | 17 | 32 | 2 | 17 | 9 | 271 | 333 | 384 | 718 | 113 | 301 | 14 | 8 | 311 | 97 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | Mobile BayBears | — | 330 | 309 | 64 | 14 | 0 | 3 | 17 | 57 | 1 | 6 | 2 | 207 | 251 | 282 | 532 | 74 | 239 | 17 | 5 | 233 | 44 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Inland Empire 66ers | — | 128 | 119 | 37 | 6 | 2 | 1 | 8 | 21 | 0 | 5 | 0 | 311 | 354 | 420 | 774 | 109 | 361 | 16 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Mobile BayBears | — | 440 | 411 | 95 | 19 | 4 | 3 | 26 | 71 | 0 | 6 | 5 | 231 | 277 | 319 | 596 | 88 | 269 | 16 | 6 | 266 | 66 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | Orem Owlz | — | 223 | 203 | 55 | 9 | 1 | 4 | 17 | 32 | 2 | 17 | 9 | 271 | 333 | 384 | 718 | 113 | 305 | 14 | 8 | 311 | 97 | — | — | — | — | — | — |
| 2016 | 22 | ROK RAW | Orem Owlz | — | 223 | 191 | 67 | 12 | 2 | 5 | 29 | 22 | 2 | 17 | 9 | 351 | 441 | 513 | 955 | 162 | 378 | 10 | 13 | 422 | 97 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 2 teams | — | 458 | 427 | 101 | 20 | 2 | 4 | 26 | 78 | 1 | 11 | 2 | 237 | 282 | 321 | 603 | 84 | 279 | 17 | 6 | 262 | 63 | — | — | — | — | — | — |
| 2017 | 23 | AA RAW | 2 teams | — | 458 | 416 | 110 | 24 | 3 | 4 | 37 | 62 | 1 | 11 | 2 | 264 | 326 | 365 | 691 | 101 | 300 | 14 | 8 | 310 | 63 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Mobile BayBears | — | 440 | 411 | 95 | 19 | 4 | 3 | 26 | 71 | 0 | 6 | 5 | 231 | 277 | 319 | 596 | 88 | 271 | 16 | 6 | 266 | 66 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | Mobile BayBears | — | 440 | 395 | 103 | 21 | 4 | 4 | 42 | 59 | 0 | 6 | 5 | 261 | 332 | 365 | 696 | 104 | 296 | 13 | 10 | 314 | 66 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | Orem Owlz | — | 223 | 202 | 55 | 9 | 1 | 4 | 17 | 32 | 2 | 17 | 9 | 272 | 333 | 386 | 719 | 114 | 301 | 14 | 8 | 311 | 97 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 2 teams | — | 458 | 428 | 101 | 20 | 2 | 4 | 26 | 78 | 1 | 11 | 2 | 236 | 282 | 320 | 602 | 84 | 273 | 17 | 6 | 262 | 63 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Mobile BayBears | — | 440 | 411 | 95 | 19 | 4 | 3 | 26 | 71 | 0 | 6 | 5 | 231 | 277 | 319 | 596 | 88 | 269 | 16 | 6 | 266 | 66 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1121 | 1041 | 251 | 48 | 7 | 11 | 69 | 181 | 3 | 34 | 16 | 241 | 290 | 332 | 623 | 91 | 281 | 16 | 6 | 273 | 71 | -39 | +0 | +0 | -12 | +24 | -2.7 | |
| / 162G | — | MLE | — | 650 | 604 | 145 | 28 | 4 | 6 | 40 | 105 | 2 | 20 | 9 | 240 | 289 | 329 | 619 | 89 | 280 | 16 | 6 | 273 | 71 | -22 | +0 | +0 | -7 | +14 | -1.5 | |
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 AAMobile BayBears · 440 PAwOBA .305 → .266 (−40)K% 13.4% → 16.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.41% | ÷1.012 | ×1.220 | — | — | 16.17% |
| BB% (unintentional) /PA | 8.86% | ÷1.040 | ×0.680 | — | ×0.998 | 5.78% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×0.998 | 0.00% |
| Singles /BIP | 22.02% | ÷1.021 | ×0.920 | ×1.013 | ×0.998 | 20.06% |
| Doubles /BIP | 6.25% | ÷1.014 | ×0.910 | ×1.013 | ×0.998 | 5.67% |
| Triples /BIP | 1.19% | ÷0.944 | ×0.880 | ×1.013 | ×0.998 | 1.12% |
| Home runs /BIP | 1.19% | ÷0.959 | ×0.800 | — | ×0.998 | 0.99% |
Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 104, 2B 103, 3B 89, K 102, BB 108 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .305 → .266; ISO .104 → .095; BABIP .296 → .269. 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 AAMobile BayBears · 330 PAwOBA .276 → .233 (−43)K% 14.2% → 17.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.24% | ÷0.998 | ×1.220 | — | — | 17.40% |
| BB% (unintentional) /PA | 7.58% | ÷0.986 | ×0.680 | — | ×1.012 | 5.29% |
| HBP% /PA | 0.30% | — | ×0.840 | — | ×1.012 | 0.26% |
| Singles /BIP | 19.69% | ÷1.018 | ×0.920 | ×1.016 | ×1.012 | 18.29% |
| Doubles /BIP | 7.09% | ÷1.204 | ×0.910 | ×1.016 | ×1.012 | 5.51% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.880 | ×1.016 | ×1.012 | 0.00% |
| Home runs /BIP | 1.18% | ÷0.896 | ×0.800 | — | ×1.012 | 1.07% |
Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 104, 2B 141, 3B 86, K 100, BB 97 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.
Result: wOBA .276 → .233; ISO .090 → .074; BABIP .269 → .239. 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 A+Inland Empire 66ers · 128 PAwOBA .378 → .335 (−43)K% 11.7% → 16.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.72% | ÷0.975 | ×1.340 | — | — | 16.11% |
| BB% (unintentional) /PA | 9.38% | ÷1.003 | ×0.710 | — | ×0.988 | 6.56% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.988 | 0.00% |
| Singles /BIP | 29.00% | ÷0.955 | ×0.910 | ×1.041 | ×0.988 | 28.42% |
| Doubles /BIP | 6.00% | ÷0.891 | ×0.820 | ×1.041 | ×0.988 | 5.68% |
| Triples /BIP | 3.00% | ÷1.150 | ×0.760 | ×1.041 | ×0.988 | 2.04% |
| Home runs /BIP | 1.00% | ÷1.008 | ×0.920 | — | ×0.988 | 0.90% |
Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .378 → .335; ISO .130 → .107; BABIP .380 → .361. 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 ROKOrem Owlz · 223 PAwOBA .412 → .311 (−101)K% 9.9% → 14.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.87% | ÷1.000 | ×1.440 | — | — | 14.21% |
| BB% (unintentional) /PA | 13.00% | ÷1.000 | ×0.610 | — | ×0.965 | 7.66% |
| HBP% /PA | 0.90% | — | ×0.720 | — | ×0.965 | 0.62% |
| Singles /BIP | 28.40% | ÷1.000 | ×0.820 | ×1.044 | ×0.965 | 23.46% |
| Doubles /BIP | 7.10% | ÷1.000 | ×0.720 | ×1.044 | ×0.965 | 5.15% |
| Triples /BIP | 1.18% | ÷1.000 | ×0.720 | ×1.044 | ×0.965 | 0.86% |
| Home runs /BIP | 2.96% | ÷1.000 | ×0.750 | — | ×0.965 | 2.14% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .412 → .311; ISO .162 → .120; BABIP .378 → .301. 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).