Kyle West
1B Hudson Valley Renegades| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 22 | ANYY | 40 | .250/.325/.306 | 0 | 1 | 17 | — | .162/.225/.189 |
| 2026 | 23 | A+/INTL2 orgs | 586 | .230/.310/.405 | 23 | 23 | 49 | — | .169/.221/.297 |
| 2027PROJMLE | 24 | MLBNYY | 1 | .197/.248/.334 | 0 | 0 | 59 | -0.0 | |
| 2028PROJ30% MLB | 25 | MLBNYY | 79 | .200/.252/.340 | 2 | 2 | 62 | -0.3 |
Tools · ContractCON 20 / POW 48
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) | |||||||||||||||||||||||||||||||
| 2025 | 22 | A | Tampa Tarpons | — | 40 | 36 | 9 | 2 | 0 | 0 | 3 | 14 | 1 | 1 | 0 | 250 | 325 | 306 | 631 | 56 | 409 | 35 | 8 | 293 | 17 | — | — | — | — | — | — |
| 2026 | 23 | A+ | Hudson Valley Renegades | — | 537 | 482 | 109 | 17 | 2 | 20 | 46 | 160 | 6 | 20 | 2 | 226 | 301 | 394 | 695 | 168 | 293 | 30 | 9 | 310 | 38 | — | — | — | — | — | — |
| 2026 | 23 | INTL | Salt River Rafters | — | 49 | 39 | 11 | 1 | 0 | 3 | 7 | 10 | 2 | 3 | 2 | 282 | 417 | 538 | 955 | 256 | 296 | 20 | 14 | 413 | 165 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2025 | 22 | A MLE | Tampa Tarpons | — | 40 | 37 | 6 | 1 | 0 | 0 | 2 | 19 | 1 | 1 | 0 | 162 | 225 | 189 | 414 | 27 | 330 | 48 | 5 | 193 | 17 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | Hudson Valley Renegades | — | 537 | 502 | 85 | 12 | 2 | 16 | 27 | 209 | 6 | 20 | 2 | 169 | 221 | 297 | 517 | 127 | 243 | 39 | 5 | 224 | 38 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Tampa Tarpons | — | 40 | 37 | 6 | 1 | 0 | 0 | 2 | 19 | 1 | 1 | 0 | 162 | 225 | 189 | 414 | 27 | 333 | 48 | 5 | 193 | 17 | — | — | — | — | — | — |
| 2025 | 22 | A RAW | Tampa Tarpons | — | 40 | 36 | 9 | 2 | 0 | 0 | 3 | 14 | 1 | 1 | 0 | 250 | 325 | 306 | 631 | 56 | 409 | 35 | 8 | 293 | 17 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | 2 teams | — | 586 | 545 | 92 | 13 | 2 | 17 | 30 | 229 | 8 | 23 | 4 | 169 | 223 | 294 | 517 | 125 | 248 | 39 | 5 | 224 | 38 | — | — | — | — | — | — |
| 2026 | 23 | A+ RAW | 2 teams | — | 586 | 521 | 120 | 18 | 2 | 23 | 53 | 170 | 8 | 23 | 4 | 230 | 310 | 405 | 715 | 175 | 293 | 29 | 9 | 319 | 38 | — | — | — | — | — | — |
| 2025 | 22 | A MLE | Tampa Tarpons | — | 40 | 37 | 6 | 1 | 0 | 0 | 2 | 19 | 1 | 1 | 0 | 162 | 225 | 189 | 414 | 27 | 330 | 48 | 5 | 193 | 17 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | 2 teams | — | 586 | 543 | 92 | 13 | 2 | 17 | 30 | 229 | 8 | 23 | 4 | 169 | 223 | 295 | 518 | 125 | 243 | 39 | 5 | 224 | 38 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2025 | 22 | A MLE | Tampa Tarpons | — | 40 | 37 | 6 | 1 | 0 | 0 | 2 | 19 | 1 | 1 | 0 | 162 | 225 | 189 | 414 | 27 | 330 | 48 | 5 | 193 | 17 | — | — | — | — | — | — |
| 2026 | 23 | A+ MLE | 2 teams | — | 586 | 543 | 92 | 13 | 2 | 17 | 30 | 229 | 8 | 23 | 4 | 169 | 223 | 295 | 518 | 125 | 243 | 39 | 5 | 224 | 38 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB MLE | NYY | 0% | 380 | 353 | 69 | 12 | 2 | 10 | 20 | 119 | 4 | 8 | 1 | 195 | 246 | 327 | 573 | 131 | 258 | 31 | 5 | 256 | 59 | -18 | +1 | +0 | -7 | +8 | -0.8 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 24 | MLB CTX | NYY | 0% | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 197 | 248 | 334 | 582 | 137 | 258 | 0 | 0 | 259 | 59 | -0 | +0 | +0 | -0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 25 | MLB MLE | NYY | 30% | 260 | 241 | 47 | 8 | 1 | 7 | 14 | 80 | 3 | 5 | 1 | 198 | 251 | 332 | 583 | 134 | 260 | 31 | 5 | 260 | 62 | -12 | +1 | +0 | -5 | +6 | -1.0 |
| 2028 | 25 | MLB CTX | NYY | 30% | 79 | 74 | 14 | 3 | 0 | 2 | 4 | 24 | 1 | 2 | 0 | 200 | 252 | 340 | 592 | 140 | 260 | 30 | 5 | 263 | 62 | -4 | +0 | +0 | -1 | +2 | -0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 79 | 74 | 14 | 3 | 0 | 2 | 4 | 24 | 1 | 2 | 0 | 189 | 241 | 311 | 551 | 122 | 250 | 30 | 5 | 263 | 47 | -4 | +0 | +0 | -1 | +2 | -0.3 | |
| / 162G | — | A+C | — | 650 | 609 | 115 | 25 | 0 | 16 | 33 | 197 | 8 | 16 | 0 | 189 | 240 | 309 | 549 | 120 | 250 | 30 | 5 | 263 | 47 | -29 | +3 | +0 | -12 | +14 | -2.4 | |
| Career | — | MLE | — | 1096 | 1018 | 184 | 29 | 4 | 30 | 57 | 394 | 14 | 33 | 6 | 181 | 234 | 306 | 540 | 125 | 257 | 36 | 5 | 237 | 47 | -22 | +1 | +0 | -8 | +10 | -2.0 | |
| / 162G | — | MLE | — | 650 | 604 | 109 | 17 | 2 | 18 | 34 | 234 | 8 | 20 | 4 | 180 | 234 | 305 | 538 | 124 | 256 | 36 | 5 | 237 | 47 | -30 | +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.
2026 A+Hudson Valley Renegades · 537 PAwOBA .303 → .224 (−79)K% 29.8% → 39.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.80% | ÷1.000 | ×1.310 | — | — | 39.03% |
| BB% (unintentional) /PA | 8.57% | ÷1.000 | ×0.600 | — | ×0.988 | 5.08% |
| HBP% /PA | 1.12% | — | ×0.770 | — | ×0.988 | 0.85% |
| Singles /BIP | 21.74% | ÷1.000 | ×0.870 | ×0.994 | ×0.988 | 18.57% |
| Doubles /BIP | 5.28% | ÷1.000 | ×0.780 | ×0.994 | ×0.988 | 4.04% |
| Triples /BIP | 0.62% | ÷1.000 | ×0.850 | ×0.994 | ×0.988 | 0.52% |
| Home runs /BIP | 6.21% | ÷1.000 | ×0.880 | — | ×0.988 | 5.40% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.994.
Result: wOBA .303 → .224; ISO .168 → .130; BABIP .293 → .243. 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).
2025 ATampa Tarpons · 40 PAwOBA .286 → .193 (−93)K% 35.0% → 47.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.00% | ÷1.000 | ×1.360 | — | — | 47.62% |
| BB% (unintentional) /PA | 7.50% | ÷0.971 | ×0.690 | — | ×0.990 | 5.28% |
| HBP% /PA | 2.50% | — | ×0.780 | — | ×0.990 | 1.93% |
| Singles /BIP | 31.82% | ÷1.119 | ×0.920 | — | ×0.990 | 25.90% |
| Doubles /BIP | 9.09% | ÷1.046 | ×0.830 | — | ×0.990 | 7.14% |
| Triples /BIP | 0.00% | ÷0.913 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.842 | ×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 68, 1B 124, 2B 109, 3B 83, K 100, BB 94 — 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 .286 → .193; ISO .056 → .036; BABIP .409 → .330. 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 — .