Chris Betts
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 22 | ATB | 472 | .210/.335/.400 | 19 | 3 | 34 | — | .139/.235/.237 |
| 2021 | 24 | AA/ROKTB | 89 | .149/.284/.284 | 2 | 0 | 13 | — | .104/.206/.181 |
| 2022 | 25 | AALAD | 102 | .146/.255/.360 | 5 | 0 | 11 | — | .097/.176/.226 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 19 | ROK | GCL Rays | — | 55 | 42 | 9 | 2 | 1 | 0 | 10 | 13 | 1 | 2 | 0 | 214 | 377 | 310 | 687 | 95 | 290 | 24 | 18 | 315 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A | Bowling Green Hot Rods | — | 65 | 56 | 13 | 1 | 0 | 1 | 6 | 16 | 1 | 0 | 0 | 232 | 317 | 304 | 621 | 71 | 300 | 25 | 9 | 281 | 40 | — | — | — | — | — | — |
| 2018 | 21 | INTL | Perth Heat | — | 98 | 87 | 27 | 2 | 0 | 3 | 8 | 19 | 3 | 0 | 0 | 310 | 388 | 437 | 825 | 126 | 369 | 19 | 8 | 373 | 138 | — | — | — | — | — | — |
| 2019 | 22 | A | Bowling Green Hot Rods | — | 472 | 395 | 83 | 14 | 2 | 19 | 67 | 136 | 7 | 3 | 0 | 210 | 335 | 400 | 735 | 190 | 263 | 29 | 14 | 331 | 34 | — | — | — | — | — | — |
| 2021 | 24 | AA | Montgomery Biscuits | — | 71 | 60 | 7 | 1 | 0 | 2 | 10 | 28 | 1 | 0 | 0 | 117 | 254 | 233 | 487 | 117 | 167 | 39 | 14 | 236 | 2 | — | — | — | — | — | — |
| 2021 | 24 | ROK | FCL Rays | — | 18 | 14 | 4 | 3 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 286 | 412 | 500 | 912 | 214 | 444 | 33 | 17 | 381 | 58 | — | — | — | — | — | — |
| 2022 | 25 | AA | Tulsa Drillers | — | 102 | 89 | 13 | 4 | 0 | 5 | 13 | 48 | 0 | 0 | 0 | 146 | 255 | 360 | 614 | 213 | 222 | 47 | 13 | 277 | 11 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 19 | ROK MLE | GCL Rays | — | 55 | 46 | 7 | 1 | 1 | 0 | 6 | 19 | 1 | 2 | 0 | 152 | 264 | 217 | 482 | 65 | 230 | 35 | 11 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Bowling Green Hot Rods | — | 65 | 58 | 12 | 1 | 0 | 1 | 4 | 22 | 1 | 0 | 0 | 207 | 270 | 276 | 546 | 69 | 274 | 34 | 6 | 227 | 40 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Bowling Green Hot Rods | — | 472 | 417 | 58 | 9 | 1 | 10 | 45 | 196 | 7 | 3 | 0 | 139 | 235 | 237 | 472 | 98 | 221 | 42 | 10 | 219 | 34 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Montgomery Biscuits | — | 71 | 63 | 5 | 1 | 0 | 1 | 7 | 35 | 1 | 0 | 0 | 79 | 183 | 143 | 326 | 63 | 151 | 49 | 10 | 171 | 2 | — | — | — | — | — | — |
| 2021 | 24 | ROK MLE | FCL Rays | — | 18 | 15 | 3 | 2 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 200 | 294 | 333 | 627 | 133 | 314 | 50 | 11 | 254 | 58 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Tulsa Drillers | — | 102 | 93 | 9 | 3 | 0 | 3 | 9 | 60 | 0 | 0 | 0 | 97 | 176 | 226 | 402 | 129 | 194 | 59 | 9 | 184 | 11 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Rays | — | 55 | 46 | 7 | 1 | 1 | 0 | 6 | 19 | 1 | 2 | 0 | 152 | 264 | 217 | 482 | 65 | 241 | 35 | 11 | 231 | 42 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | GCL Rays | — | 55 | 42 | 9 | 2 | 1 | 0 | 10 | 13 | 1 | 2 | 0 | 214 | 377 | 310 | 687 | 95 | 290 | 24 | 18 | 315 | 42 | — | — | — | — | — | — |
| 2018 | 21 | INTL MLE | 2 teams | — | 163 | 146 | 28 | 2 | 0 | 2 | 11 | 55 | 4 | 0 | 0 | 192 | 267 | 247 | 514 | 55 | 289 | 34 | 7 | 227 | 40 | — | — | — | — | — | — |
| 2018 | 21 | INTL RAW | 2 teams | — | 163 | 143 | 40 | 3 | 0 | 4 | 14 | 35 | 4 | 0 | 0 | 280 | 360 | 385 | 745 | 105 | 343 | 21 | 9 | 336 | 40 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Bowling Green Hot Rods | — | 472 | 417 | 58 | 9 | 1 | 10 | 45 | 196 | 7 | 3 | 0 | 139 | 235 | 237 | 472 | 98 | 224 | 42 | 10 | 219 | 34 | — | — | — | — | — | — |
| 2019 | 22 | A RAW | Bowling Green Hot Rods | — | 472 | 395 | 83 | 14 | 2 | 19 | 67 | 136 | 7 | 3 | 0 | 210 | 335 | 400 | 735 | 190 | 263 | 29 | 14 | 331 | 34 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | 2 teams | — | 89 | 78 | 8 | 3 | 0 | 1 | 9 | 44 | 1 | 0 | 0 | 103 | 205 | 179 | 384 | 77 | 206 | 49 | 10 | 188 | 13 | — | — | — | — | — | — |
| 2021 | 24 | AA RAW | 2 teams | — | 89 | 74 | 11 | 4 | 0 | 2 | 13 | 34 | 1 | 0 | 0 | 149 | 284 | 284 | 568 | 135 | 231 | 38 | 15 | 265 | 13 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Tulsa Drillers | — | 102 | 93 | 9 | 3 | 0 | 3 | 9 | 60 | 0 | 0 | 0 | 97 | 176 | 226 | 402 | 129 | 200 | 59 | 9 | 184 | 11 | — | — | — | — | — | — |
| 2022 | 25 | AA RAW | Tulsa Drillers | — | 102 | 89 | 13 | 4 | 0 | 5 | 13 | 48 | 0 | 0 | 0 | 146 | 255 | 360 | 614 | 213 | 222 | 47 | 13 | 277 | 11 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Rays | — | 55 | 48 | 7 | 1 | 1 | 0 | 6 | 19 | 1 | 2 | 0 | 146 | 264 | 208 | 472 | 62 | 230 | 35 | 11 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 21 | INTL MLE | 2 teams | — | 163 | 147 | 28 | 2 | 0 | 2 | 11 | 55 | 4 | 0 | 0 | 190 | 267 | 245 | 512 | 54 | 274 | 34 | 7 | 227 | 40 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Bowling Green Hot Rods | — | 472 | 417 | 58 | 9 | 1 | 10 | 45 | 196 | 7 | 3 | 0 | 139 | 235 | 237 | 472 | 98 | 221 | 42 | 10 | 219 | 34 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | 2 teams | — | 89 | 79 | 8 | 3 | 0 | 1 | 9 | 44 | 1 | 0 | 0 | 101 | 205 | 177 | 382 | 76 | 184 | 49 | 10 | 188 | 13 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Tulsa Drillers | — | 102 | 92 | 9 | 3 | 0 | 3 | 9 | 60 | 0 | 0 | 0 | 98 | 176 | 228 | 405 | 130 | 194 | 59 | 9 | 184 | 11 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 881 | 780 | 110 | 18 | 2 | 16 | 80 | 374 | 13 | 5 | 0 | 141 | 233 | 231 | 463 | 90 | 237 | 42 | 9 | 214 | 31 | -72 | +1 | +0 | +16 | +19 | -3.7 | |
| / 162G | — | MLE | — | 650 | 575 | 81 | 13 | 1 | 12 | 59 | 276 | 10 | 4 | 0 | 141 | 233 | 230 | 462 | 89 | 236 | 42 | 9 | 214 | 31 | -53 | +1 | +0 | +12 | +14 | -2.7 | |
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.
2022 AATulsa Drillers · 102 PAwOBA .270 → .184 (−86)K% 47.1% → 59.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 47.06% | ÷0.971 | ×1.220 | — | — | 59.12% |
| BB% (unintentional) /PA | 12.75% | ÷0.975 | ×0.700 | — | ×0.998 | 9.13% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 9.76% | ÷0.953 | ×0.920 | — | ×0.998 | 9.40% |
| Doubles /BIP | 9.76% | ÷1.006 | ×0.840 | — | ×0.998 | 8.13% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | — | ×0.998 | 0.00% |
| Home runs /BIP | 12.20% | ÷0.993 | ×0.800 | — | ×0.998 | 9.80% |
Factors used: league row TL. Park (home-season share, regressed): HR 99, 1B 91, 2B 101, 3B 130, K 94, BB 95 — 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).
Result: wOBA .270 → .184; ISO .213 → .137; BABIP .222 → .194. 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).
2021 AAMontgomery Biscuits · 71 PAwOBA .231 → .171 (−60)K% 39.4% → 49.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.44% | ÷0.970 | ×1.220 | — | — | 49.61% |
| BB% (unintentional) /PA | 14.08% | ÷1.015 | ×0.690 | — | ×1.012 | 9.69% |
| HBP% /PA | 1.41% | — | ×0.850 | — | ×1.012 | 1.21% |
| Singles /BIP | 12.50% | ÷1.019 | ×0.940 | — | ×1.012 | 11.67% |
| Doubles /BIP | 3.12% | ÷1.046 | ×0.870 | — | ×1.012 | 2.63% |
| Triples /BIP | 0.00% | ÷0.950 | ×0.920 | — | ×1.012 | 0.00% |
| Home runs /BIP | 6.25% | ÷0.938 | ×0.780 | — | ×1.012 | 5.26% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 104, 2B 109, 3B 90, K 94, BB 103 — 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).
Result: wOBA .231 → .171; ISO .117 → .086; BABIP .167 → .151. 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).
2021 ROKFCL Rays · 18 PAwOBA .393 → .254 (−139)K% 33.3% → 47.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.005 | ×1.440 | — | — | 47.74% |
| BB% (unintentional) /PA | 16.67% | ÷0.999 | ×0.620 | — | ×0.955 | 9.88% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.955 | 0.00% |
| Singles /BIP | 12.50% | ÷0.990 | ×0.820 | — | ×0.955 | 9.88% |
| Doubles /BIP | 37.50% | ÷1.006 | ×0.720 | — | ×0.955 | 25.62% |
| Triples /BIP | 0.00% | ÷1.065 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.948 | ×0.780 | — | ×0.955 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 98, 2B 101, 3B 113, K 101, BB 100 — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .393 → .254; ISO .214 → .140; BABIP .444 → .314. 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).
2019 ABowling Green Hot Rods · 472 PAwOBA .324 → .219 (−105)K% 28.8% → 41.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.81% | ÷0.944 | ×1.360 | — | — | 41.52% |
| BB% (unintentional) /PA | 13.98% | ÷1.012 | ×0.690 | — | — | 9.53% |
| HBP% /PA | 1.48% | — | ×0.780 | — | — | 1.16% |
| Singles /BIP | 18.53% | ÷0.960 | ×0.920 | ×0.950 | — | 16.88% |
| Doubles /BIP | 5.41% | ÷1.103 | ×0.830 | ×0.950 | — | 3.87% |
| Triples /BIP | 0.77% | ÷1.124 | ×0.910 | ×0.950 | — | 0.59% |
| Home runs /BIP | 7.34% | ÷1.270 | ×0.800 | — | — | 4.62% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 92, 2B 121, 3B 125, K 89, BB 102 — 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 ×0.950.
Result: wOBA .324 → .219; ISO .190 → .108; BABIP .263 → .221. 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 ABowling Green Hot Rods · 65 PAwOBA .278 → .227 (−51)K% 24.6% → 33.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.62% | ÷1.000 | ×1.360 | — | — | 33.49% |
| BB% (unintentional) /PA | 9.23% | ÷0.991 | ×0.690 | — | ×1.015 | 6.53% |
| HBP% /PA | 1.54% | — | ×0.780 | — | ×1.015 | 1.22% |
| Singles /BIP | 27.50% | ÷1.004 | ×0.920 | — | ×1.015 | 25.57% |
| Doubles /BIP | 2.50% | ÷1.057 | ×0.830 | — | ×1.015 | 1.99% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 2.50% | ÷1.037 | ×0.800 | — | ×1.015 | 1.96% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 101, 2B 111, 3B 80, K 100, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).
Result: wOBA .278 → .227; ISO .071 → .054; BABIP .300 → .274. 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 Rays · 55 PAwOBA .320 → .231 (−89)K% 23.6% → 34.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.64% | ÷1.000 | ×1.440 | — | — | 34.04% |
| BB% (unintentional) /PA | 18.18% | ÷1.000 | ×0.620 | — | ×1.008 | 11.36% |
| HBP% /PA | 1.82% | — | ×0.720 | — | ×1.008 | 1.32% |
| Singles /BIP | 20.69% | ÷1.000 | ×0.820 | — | ×1.008 | 17.09% |
| Doubles /BIP | 6.90% | ÷1.000 | ×0.720 | — | ×1.008 | 5.00% |
| Triples /BIP | 3.45% | ÷1.000 | ×0.720 | — | ×1.008 | 2.50% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): 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).
Result: wOBA .320 → .231; ISO .095 → .070; BABIP .290 → .230. 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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .