Orioles at Mets
BAL––
NYM–Us vs the market
book · exchangeShown for reference only. Our side model measures at a coin flip (Brier 0.253 vs 0.250), so a gap here is not an edge — it is three independent guesses, and the two market numbers are the better-informed ones. Before first pitch the first column is the league-average home win rate, not a projection for this matchup — the per-game simulation runs once the game starts.
Exchange prices are public market data from Kalshi; book lines are from the sportsbook via ESPN. Prices only — Gridpex does not accept, place, or route wagers.
- Albert Suárez7d rest
- Grant Wolfram4d rest
- Cam Sanders4d rest
- Anthony Nunez4d rest
- Luis De León4d rest
- Andrew Kittredge1d rest · 9p/3d
- Yennier Cano1d rest · 22p/3d
rested pitched yesterday likely unavailable
- Dylan Ross11d rest
- Robert Stock8d rest
- Jefry Yan7d rest
- Justin Hagenman7d rest
- Dedniel Núñez4d rest
- Kodai Senga4d rest
- Tobias Myers3d rest · 11p/3d
rested pitched yesterday likely unavailable
Velocity & spin from the MLB Stats API live feed. The fatigue read compares each pitcher's live fastball velocity to their fresh baseline and our fatigue-curve model (−0.61 mph / 100 pitches). Win probability is from our own base-out/inning/score table built on 2024–25 games.