Cole Fontenelle
3B Rocket City Trash Pandas| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | AA/INTL2 orgs | 172 | .226/.380/.336 | 3 | 14 | 90 | — | .227/.341/.347 |
| 2025 | 23 | AA/A+LAA | 428 | .186/.292/.300 | 9 | 16 | 22 | — | .134/.221/.212 |
| 2026 | 24 | AALAA | 291 | .202/.277/.344 | 6 | 12 | 33 | — | .167/.225/.286 |
| 2027PROJMLE | 25 | MLBLAA | 3 | .164/.233/.260 | 0 | 0 | 40 | -0.0 | |
| 2028PROJ31% MLB | 26 | MLBLAA | 64 | .168/.238/.270 | 1 | 2 | 44 | -0.2 |
Tools · ContractCON 30 / POW 35
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) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A | Inland Empire 66ers | — | 162 | 143 | 38 | 6 | 2 | 4 | 13 | 38 | 3 | 7 | 3 | 266 | 340 | 420 | 759 | 154 | 327 | 23 | 8 | 334 | 70 | — | — | — | — | — | — |
| 2024 | 22 | AA | Rocket City Trash Pandas | — | 89 | 72 | 20 | 4 | 0 | 2 | 11 | 23 | 5 | 12 | 1 | 278 | 409 | 417 | 826 | 139 | 375 | 26 | 12 | 374 | 93 | — | — | — | — | — | — |
| 2024 | 22 | INTL | Mesa Solar Sox | — | 83 | 65 | 11 | 0 | 1 | 1 | 13 | 30 | 5 | 2 | 1 | 169 | 349 | 246 | 596 | 77 | 294 | 36 | 16 | 296 | 87 | — | — | — | — | — | — |
| 2025 | 23 | AA | Rocket City Trash Pandas | — | 188 | 163 | 24 | 2 | 1 | 4 | 15 | 99 | 10 | 6 | 3 | 147 | 261 | 245 | 506 | 98 | 333 | 53 | 8 | 243 | -2 | — | — | — | — | — | — |
| 2025 | 23 | A+ | Tri-City Dust Devils | — | 240 | 207 | 45 | 7 | 2 | 5 | 24 | 73 | 6 | 10 | 6 | 217 | 316 | 343 | 659 | 126 | 303 | 30 | 10 | 299 | 41 | — | — | — | — | — | — |
| 2026 | 24 | AA | Rocket City Trash Pandas | — | 291 | 262 | 53 | 15 | 2 | 6 | 23 | 97 | 4 | 12 | 1 | 202 | 277 | 344 | 620 | 141 | 292 | 33 | 8 | 279 | 33 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 21 | A MLE | Inland Empire 66ers | — | 162 | 147 | 32 | 5 | 2 | 3 | 9 | 52 | 3 | 7 | 3 | 218 | 277 | 340 | 617 | 122 | 292 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | Rocket City Trash Pandas | — | 89 | 75 | 17 | 3 | 0 | 2 | 8 | 29 | 5 | 12 | 1 | 227 | 341 | 347 | 688 | 120 | 329 | 33 | 9 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 23 | AA MLE | Rocket City Trash Pandas | — | 188 | 168 | 15 | 1 | 1 | 2 | 10 | 119 | 10 | 6 | 3 | 89 | 186 | 143 | 329 | 54 | 285 | 63 | 5 | 165 | -2 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | Tri-City Dust Devils | — | 240 | 214 | 36 | 5 | 2 | 4 | 17 | 97 | 6 | 10 | 6 | 168 | 249 | 266 | 515 | 98 | 265 | 40 | 7 | 229 | 41 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Rocket City Trash Pandas | — | 291 | 269 | 45 | 13 | 2 | 5 | 16 | 118 | 4 | 12 | 1 | 167 | 225 | 286 | 511 | 119 | 261 | 41 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Inland Empire 66ers | — | 162 | 147 | 32 | 5 | 2 | 3 | 9 | 52 | 3 | 7 | 3 | 218 | 277 | 340 | 617 | 122 | 305 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | Inland Empire 66ers | — | 162 | 143 | 38 | 6 | 2 | 4 | 13 | 38 | 3 | 7 | 3 | 266 | 340 | 420 | 759 | 154 | 327 | 23 | 8 | 334 | 70 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | 2 teams | — | 172 | 145 | 33 | 6 | 0 | 3 | 16 | 56 | 10 | 14 | 2 | 228 | 345 | 331 | 676 | 103 | 345 | 33 | 9 | 306 | 93 | — | — | — | — | — | — |
| 2024 | 22 | AA RAW | 2 teams | — | 172 | 137 | 31 | 4 | 1 | 3 | 24 | 53 | 10 | 14 | 2 | 226 | 380 | 336 | 716 | 109 | 341 | 31 | 14 | 337 | 93 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 428 | 382 | 51 | 7 | 2 | 6 | 27 | 216 | 16 | 16 | 9 | 134 | 221 | 209 | 431 | 76 | 276 | 50 | 6 | 201 | 22 | — | — | — | — | — | — |
| 2025 | 23 | A+ RAW | 2 teams | — | 428 | 370 | 69 | 9 | 3 | 9 | 39 | 172 | 16 | 16 | 9 | 186 | 292 | 300 | 592 | 114 | 312 | 40 | 9 | 275 | 22 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Rocket City Trash Pandas | — | 291 | 269 | 45 | 13 | 2 | 5 | 16 | 118 | 4 | 12 | 1 | 167 | 225 | 286 | 511 | 119 | 270 | 41 | 5 | 217 | 33 | — | — | — | — | — | — |
| 2026 | 24 | AA RAW | Rocket City Trash Pandas | — | 291 | 262 | 53 | 15 | 2 | 6 | 23 | 97 | 4 | 12 | 1 | 202 | 277 | 344 | 620 | 141 | 292 | 33 | 8 | 279 | 33 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Inland Empire 66ers | — | 162 | 149 | 32 | 5 | 2 | 3 | 9 | 52 | 3 | 7 | 3 | 215 | 277 | 336 | 612 | 121 | 292 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | 2 teams | — | 172 | 144 | 33 | 6 | 0 | 3 | 16 | 56 | 10 | 14 | 2 | 229 | 345 | 333 | 678 | 104 | 329 | 33 | 9 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 428 | 382 | 51 | 7 | 2 | 6 | 27 | 216 | 16 | 16 | 9 | 134 | 221 | 209 | 431 | 76 | 274 | 50 | 6 | 201 | 22 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Rocket City Trash Pandas | — | 291 | 269 | 45 | 13 | 2 | 5 | 16 | 118 | 4 | 12 | 1 | 167 | 225 | 286 | 511 | 119 | 261 | 41 | 5 | 217 | 33 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | AA MLE | 2 teams | — | 172 | 144 | 33 | 6 | 0 | 3 | 16 | 56 | 10 | 14 | 2 | 229 | 345 | 333 | 678 | 104 | 329 | 33 | 9 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 23 | A+ MLE | 2 teams | — | 428 | 382 | 51 | 7 | 2 | 6 | 27 | 216 | 16 | 16 | 9 | 134 | 221 | 209 | 431 | 76 | 274 | 50 | 6 | 201 | 22 | — | — | — | — | — | — |
| 2026 | 24 | AA MLE | Rocket City Trash Pandas | — | 291 | 269 | 45 | 13 | 2 | 5 | 16 | 118 | 4 | 12 | 1 | 167 | 225 | 286 | 511 | 119 | 261 | 41 | 5 | 217 | 33 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | LAA | 2% | 341 | 310 | 51 | 11 | 2 | 5 | 21 | 139 | 7 | 9 | 2 | 165 | 234 | 261 | 496 | 96 | 273 | 41 | 6 | 228 | 40 | -24 | +1 | +0 | +1 | +7 | -0.6 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | LAA | 2% | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 164 | 233 | 260 | 493 | 96 | 271 | 33 | 0 | 227 | 40 | -0 | +0 | +0 | +0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | LAA | 31% | 207 | 188 | 32 | 7 | 1 | 3 | 13 | 83 | 4 | 5 | 1 | 169 | 239 | 271 | 511 | 102 | 274 | 40 | 6 | 234 | 44 | -14 | +1 | +0 | +1 | +4 | -0.8 |
| 2028 | 26 | MLB CTX | LAA | 31% | 64 | 59 | 9 | 2 | 0 | 1 | 4 | 26 | 1 | 2 | 0 | 168 | 238 | 270 | 508 | 101 | 272 | 41 | 6 | 233 | 44 | -4 | +0 | +0 | +0 | +1 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 64 | 59 | 9 | 2 | 0 | 1 | 4 | 26 | 1 | 2 | 0 | 153 | 219 | 237 | 456 | 85 | 250 | 41 | 6 | 233 | 44 | -4 | +0 | +0 | +0 | +1 | -0.2 | |
| / 162G | — | A+C | — | 650 | 599 | 91 | 20 | 0 | 10 | 41 | 264 | 10 | 20 | 0 | 152 | 218 | 235 | 454 | 83 | 249 | 41 | 6 | 233 | 44 | -43 | +4 | +0 | +2 | +14 | -2.3 | |
| Career | — | MLE | — | 1431 | 1286 | 219 | 43 | 8 | 23 | 91 | 595 | 41 | 59 | 17 | 170 | 248 | 270 | 517 | 100 | 289 | 42 | 6 | 233 | 44 | -26 | +1 | +0 | +1 | +8 | -1.5 | |
| / 162G | — | MLE | — | 650 | 584 | 100 | 20 | 4 | 10 | 41 | 270 | 19 | 27 | 8 | 171 | 248 | 271 | 519 | 99 | 291 | 42 | 6 | 233 | 44 | -44 | +2 | +0 | +2 | +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 AARocket City Trash Pandas · 291 PAwOBA .273 → .217 (−56)K% 33.3% → 40.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.33% | ÷1.000 | ×1.220 | — | — | 40.67% |
| BB% (unintentional) /PA | 7.90% | ÷1.000 | ×0.680 | — | ×1.012 | 5.44% |
| HBP% /PA | 1.37% | — | ×0.840 | — | ×1.012 | 1.17% |
| Singles /BIP | 18.18% | ÷1.000 | ×0.920 | ×0.975 | ×1.012 | 16.50% |
| Doubles /BIP | 9.09% | ÷1.000 | ×0.910 | ×0.975 | ×1.012 | 8.16% |
| Triples /BIP | 1.21% | ÷1.000 | ×0.880 | ×0.975 | ×1.012 | 1.05% |
| Home runs /BIP | 3.64% | ÷1.000 | ×0.800 | — | ×1.012 | 2.94% |
Factors used: league row SL. 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 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 ×0.975.
Result: wOBA .273 → .217; ISO .141 → .112; BABIP .292 → .261. 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 A+Tri-City Dust Devils · 240 PAwOBA .294 → .229 (−65)K% 30.4% → 40.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.42% | ÷1.019 | ×1.350 | — | — | 40.29% |
| BB% (unintentional) /PA | 9.58% | ÷0.975 | ×0.710 | — | ×0.998 | 6.97% |
| HBP% /PA | 2.50% | — | ×0.810 | — | ×0.998 | 2.02% |
| Singles /BIP | 23.13% | ÷1.019 | ×0.910 | ×0.999 | ×0.998 | 20.59% |
| Doubles /BIP | 5.22% | ÷0.975 | ×0.830 | ×0.999 | ×0.998 | 4.43% |
| Triples /BIP | 1.49% | ÷0.900 | ×0.820 | ×0.999 | ×0.998 | 1.36% |
| Home runs /BIP | 3.73% | ÷1.000 | ×0.830 | — | ×0.998 | 3.09% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 104, 2B 95, 3B 80, K 104, BB 95 — 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 ×0.999.
Result: wOBA .294 → .229; ISO .126 → .097; BABIP .303 → .265. 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 AARocket City Trash Pandas · 188 PAwOBA .237 → .165 (−72)K% 52.7% → 63.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 52.66% | ÷1.011 | ×1.220 | — | — | 63.55% |
| BB% (unintentional) /PA | 7.98% | ÷1.020 | ×0.680 | — | ×1.027 | 5.47% |
| HBP% /PA | 5.32% | — | ×0.840 | — | ×1.027 | 4.59% |
| Singles /BIP | 26.56% | ÷1.048 | ×0.920 | ×0.950 | ×1.027 | 22.74% |
| Doubles /BIP | 3.12% | ÷0.929 | ×0.910 | ×0.950 | ×1.027 | 2.99% |
| Triples /BIP | 1.56% | ÷1.028 | ×0.880 | ×0.950 | ×1.027 | 1.31% |
| Home runs /BIP | 6.25% | ÷1.028 | ×0.800 | — | ×1.027 | 5.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 106, 1B 110, 2B 86, 3B 106, K 102, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .237 → .165; ISO .098 → .063; BABIP .333 → .285. 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).
2024 AARocket City Trash Pandas · 89 PAwOBA .369 → .306 (−64)K% 25.8% → 32.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.84% | ÷0.974 | ×1.220 | — | — | 32.38% |
| BB% (unintentional) /PA | 12.36% | ÷0.966 | ×0.680 | — | ×1.042 | 9.07% |
| HBP% /PA | 5.62% | — | ×0.840 | — | ×1.042 | 4.92% |
| Singles /BIP | 28.57% | ÷1.016 | ×0.920 | ×0.950 | ×1.042 | 25.62% |
| Doubles /BIP | 8.16% | ÷1.072 | ×0.910 | ×0.950 | ×1.042 | 6.86% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.880 | ×0.950 | ×1.042 | 0.00% |
| Home runs /BIP | 4.08% | ÷0.976 | ×0.800 | — | ×1.042 | 3.49% |
Factors used: league row SL. Park (home-season share, regressed): HR 95, 1B 103, 2B 114, 3B 109, K 95, BB 93 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .369 → .306; ISO .139 → .115; BABIP .375 → .329. 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).
2023 AInland Empire 66ers · 162 PAwOBA .331 → .271 (−60)K% 23.5% → 31.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.46% | ÷1.000 | ×1.360 | — | — | 31.89% |
| BB% (unintentional) /PA | 8.02% | ÷0.970 | ×0.690 | — | ×1.015 | 5.79% |
| HBP% /PA | 1.85% | — | ×0.780 | — | ×1.015 | 1.47% |
| Singles /BIP | 24.76% | ÷1.026 | ×0.920 | ×1.005 | ×1.015 | 22.64% |
| Doubles /BIP | 5.71% | ÷1.016 | ×0.830 | ×1.005 | ×1.015 | 4.76% |
| Triples /BIP | 1.90% | ÷1.049 | ×0.910 | ×1.005 | ×1.015 | 1.69% |
| Home runs /BIP | 3.81% | ÷0.897 | ×0.800 | — | ×1.015 | 3.45% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 103, 3B 110, K 100, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.
Result: wOBA .331 → .271; ISO .154 → .127; BABIP .327 → .292. 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 — .