Players · B · Pitcher · 2026
Hunter Bigge
- Age
- 28
- B/T
- R/R
- Height
- 6' 0"
- Weight
- 215 lb
- Number
- #43
- Born
- June 12, 1998 in Los Gatos, CA, United States
- MLB debut
- July 9, 2024
- Drafted
- 2019, round 12
- College
- Harvard
- dbWAR
- .2 3 season(s)
- IP
- 19.1
- ERA
- 6.98
- FIP
- 4.50
- K/9
- 6.5
- FIP−
- 108 100 = avg
Hunter Bigge is a relief pitcher for the Tampa Bay Rays. In 2026 he struck out 14 batters over 19.1 innings across 18 appearances, going 1-1. His ERA of 6.98 is 67.1% higher than the league average of 4.18. Stripping out defence, his 4.50 FIP suggests he pitched better than his ERA shows. He missed bats on 25.9% of swings (11.3% of every pitch he threw), walked 16.5% of the batters he faced and struck out 16.5%. His 0.0 dbWAR is built from that FIP rather than runs allowed, so it credits him for what he controls and not for the defence behind him.
League context
Percentile among qualified pitchers, 2026.
WAR by season
Pitching
Standard and advanced, by season.
Platoon splits
How left- and right-handed hitters fare against him.
| Split | PA | AB | H | HR | BB | SO | AVG | OBP | SLG | wOBA | K% |
|---|---|---|---|---|---|---|---|---|---|---|---|
| vs LHB | 38 | 32 | 5 | 1 | 6 | 8 | .156 | .289 | .281 | .259 | 21.1% |
| vs RHB | 47 | 38 | 9 | 0 | 8 | 6 | .237 | .362 | .368 | .333 | 12.8% |
Pitch sequencing
What Hunter Bigge throws in each count, and what he follows each pitch with. Select any cell for the breakdown.
Select a count to see exactly what Hunter Bigge throws in it.
Pitch arsenal
What he throws, how hard, how often it misses, and what hitters do with it.
| Four-Seam Fastball | 164 | 96.5 | 2,394 | 41.5% | 18.3% | 39 | .179 | .561 | |
| Slider | 131 | 88.7 | 2,329 | 44.3% | 36.2% | 23 | .261 | .878 | |
| Splitter | 17 | 87.7 | 1,315 | 23.5% | 40.0% | 4 | — | — |
Head to head
Put Hunter Bigge beside up to three others.
wOBA uses linear weights measured from this season's own play-by-play rather than published constants, and wRC+ is park-adjusted against that same league. dbWAR is our own open implementation — not fWAR or bWAR — and the full derivation, including its simplifications, is on the methodology page.