Broedy Poppell
C San Jose Giants| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2026 | 24 | A/ROKSF | 343 | .244/.352/.426 | 11 | 15 | 56 | — | .181/.267/.308 |
| 2027PROJMLE | 25 | MLBSF | 380 | .192/.268/.303 | 7 | 8 | 62 | 0.1 | |
| 2028PROJ30% MLB | 26 | MLBSF | 62 | .191/.268/.300 | 1 | 1 | 64 | 0.0 | |
| 2029PROJ42% MLB | 27 | MLBSF | 101 | .192/.269/.302 | 2 | 2 | 65 | 0.0 |
Tools · ContractCON 20 / POW 40
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) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A | San Jose Giants | — | 310 | 260 | 64 | 14 | 2 | 8 | 38 | 86 | 9 | 15 | 1 | 246 | 360 | 408 | 768 | 162 | 333 | 28 | 12 | 346 | 58 | — | — | — | — | — | — |
| 2026 | 24 | ROK | ACL Giants | — | 33 | 31 | 7 | 2 | 0 | 3 | 2 | 8 | 0 | 0 | 0 | 226 | 273 | 581 | 853 | 355 | 200 | 24 | 6 | 364 | 40 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A MLE | San Jose Giants | — | 310 | 273 | 51 | 10 | 2 | 6 | 26 | 117 | 9 | 15 | 1 | 187 | 279 | 304 | 583 | 117 | 284 | 38 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2026 | 24 | ROK MLE | ACL Giants | — | 33 | 32 | 4 | 1 | 0 | 2 | 1 | 12 | 0 | 0 | 0 | 125 | 152 | 344 | 495 | 219 | 142 | 36 | 3 | 227 | 40 | — | — | — | — | — | — |
| 2026 | 24 | A MLE | 2 teams | — | 343 | 305 | 56 | 12 | 2 | 8 | 27 | 128 | 9 | 15 | 1 | 184 | 270 | 315 | 585 | 131 | 281 | 37 | 8 | 251 | 56 | — | — | — | — | — | — |
| 2026 | 24 | A RAW | 2 teams | — | 343 | 291 | 71 | 16 | 2 | 11 | 40 | 94 | 9 | 15 | 1 | 244 | 352 | 426 | 778 | 182 | 319 | 27 | 12 | 348 | 56 | — | — | — | — | — | — |
| 2026 | 24 | A MLE | 2 teams | — | 343 | 304 | 56 | 12 | 2 | 8 | 27 | 128 | 9 | 15 | 1 | 184 | 270 | 316 | 586 | 132 | 270 | 37 | 8 | 251 | 56 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2026 | 24 | A MLE | 2 teams | — | 343 | 304 | 56 | 12 | 2 | 8 | 27 | 128 | 9 | 15 | 1 | 184 | 270 | 316 | 586 | 132 | 270 | 37 | 8 | 251 | 56 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | SF | 0% | 380 | 341 | 65 | 12 | 2 | 7 | 31 | 114 | 5 | 8 | 2 | 192 | 268 | 303 | 571 | 111 | 261 | 30 | 8 | 260 | 62 | -17 | +1 | +0 | +7 | +8 | 0.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | SF | 30% | 206 | 184 | 36 | 7 | 1 | 4 | 17 | 61 | 3 | 4 | 1 | 194 | 271 | 308 | 579 | 114 | 263 | 30 | 8 | 263 | 64 | -9 | +0 | +0 | +4 | +4 | -0.0 |
| 2029 | 27 | MLB MLE | SF | 42% | 244 | 219 | 43 | 8 | 1 | 5 | 20 | 72 | 3 | 5 | 1 | 196 | 272 | 310 | 583 | 114 | 264 | 30 | 8 | 265 | 65 | -10 | +1 | +0 | +4 | +5 | 0.0 |
| 2030 | 28 | MLB MLE | SF | 48% | 271 | 244 | 47 | 9 | 1 | 5 | 22 | 79 | 3 | 5 | 1 | 197 | 273 | 311 | 583 | 114 | 264 | 29 | 8 | 265 | 66 | -11 | +1 | -1 | +5 | +6 | -0.1 |
| 2031 | 29 | MLB MLE | SF | 49% | 280 | 252 | 48 | 9 | 1 | 5 | 23 | 82 | 3 | 5 | 1 | 197 | 272 | 309 | 581 | 113 | 264 | 29 | 8 | 264 | 65 | -12 | +1 | -1 | +5 | +6 | -0.1 |
| 2028 | 26 | MLB CTX | SF | 30% | 62 | 56 | 10 | 2 | 0 | 1 | 5 | 18 | 1 | 1 | 0 | 191 | 268 | 300 | 567 | 109 | 259 | 29 | 8 | 259 | 64 | -3 | +0 | +0 | +1 | +1 | 0.0 |
| 2029 | 27 | MLB CTX | SF | 42% | 101 | 91 | 18 | 3 | 1 | 2 | 8 | 30 | 1 | 2 | 0 | 192 | 269 | 302 | 571 | 110 | 260 | 30 | 8 | 260 | 65 | -4 | +0 | +0 | +2 | +2 | 0.0 |
| 2030 | 28 | MLB CTX | SF | 48% | 129 | 116 | 22 | 4 | 1 | 2 | 10 | 38 | 2 | 2 | 1 | 193 | 269 | 302 | 572 | 109 | 261 | 29 | 8 | 261 | 66 | -5 | +0 | -0 | +2 | +3 | -0.1 |
| 2031 | 29 | MLB CTX | SF | 49% | 138 | 124 | 24 | 5 | 1 | 2 | 11 | 40 | 2 | 2 | 1 | 193 | 269 | 301 | 570 | 108 | 261 | 29 | 8 | 260 | 65 | -6 | +0 | -1 | +2 | +3 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 430 | 387 | 74 | 14 | 3 | 7 | 34 | 126 | 6 | 7 | 2 | 191 | 267 | 297 | 564 | 106 | 261 | 29 | 8 | 260 | 63 | -18 | +1 | -1 | +8 | +9 | -0.1 | |
| / 162G | — | A+C | — | 650 | 585 | 113 | 21 | 5 | 11 | 51 | 190 | 9 | 11 | 3 | 193 | 268 | 303 | 571 | 109 | 262 | 29 | 8 | 260 | 63 | -27 | +1 | -2 | +12 | +14 | -0.2 | |
| Career | — | MLE | — | 1525 | 1366 | 261 | 51 | 7 | 30 | 124 | 476 | 23 | 38 | 6 | 191 | 270 | 305 | 574 | 113 | 266 | 31 | 8 | 261 | 63 | -50 | +3 | -2 | +21 | +26 | -0.3 | |
| / 162G | — | MLE | — | 650 | 582 | 112 | 22 | 3 | 13 | 53 | 203 | 10 | 16 | 3 | 192 | 271 | 308 | 579 | 115 | 268 | 31 | 8 | 261 | 63 | -27 | +1 | -1 | +12 | +14 | -0.1 | |
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 ASan Jose Giants · 310 PAwOBA .339 → .254 (−85)K% 27.7% → 37.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.74% | ÷1.000 | ×1.360 | — | — | 37.73% |
| BB% (unintentional) /PA | 12.26% | ÷1.000 | ×0.690 | — | ×0.980 | 8.29% |
| HBP% /PA | 2.90% | — | ×0.780 | — | ×0.980 | 2.22% |
| Singles /BIP | 22.99% | ÷1.000 | ×0.920 | ×0.981 | ×0.980 | 20.33% |
| Doubles /BIP | 8.05% | ÷1.000 | ×0.830 | ×0.981 | ×0.980 | 6.42% |
| Triples /BIP | 1.15% | ÷1.000 | ×0.910 | ×0.981 | ×0.980 | 1.01% |
| Home runs /BIP | 4.60% | ÷1.000 | ×0.800 | — | ×0.980 | 3.60% |
Factors used: level-wide A 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 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.
Result: wOBA .339 → .254; ISO .162 → .119; BABIP .333 → .284. 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).
2026 ROKACL Giants · 33 PAwOBA .353 → .227 (−126)K% 24.2% → 34.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.24% | ÷1.000 | ×1.440 | — | — | 34.91% |
| BB% (unintentional) /PA | 6.06% | ÷1.000 | ×0.620 | — | ×0.955 | 3.59% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.955 | 0.00% |
| Singles /BIP | 8.70% | ÷1.000 | ×0.820 | — | ×0.955 | 6.81% |
| Doubles /BIP | 8.70% | ÷1.000 | ×0.720 | — | ×0.955 | 5.98% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 13.04% | ÷1.000 | ×0.780 | — | ×0.955 | 9.72% |
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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .353 → .227; ISO .355 → .230; BABIP .200 → .142. 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).