| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Bo Bichette: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Bichette: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Mangum: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jared Triolo: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jared Triolo: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joey Bart: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joey Bart: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Gonzales: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Gonzales: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Yorke: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Yorke: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Benge: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Benge: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many home runs will be hit in the Pittsburgh vs New York M game and matters because home-run totals capture the game’s run environment and are sensitive to pitching, ballpark, and lineup changes.
The outcome is shaped by both teams' recent offensive and pitching profiles, historical home-run rates in their matchups, and the specific venue where the game will be played. Pre-game factors such as the scheduled starting pitchers, lineup construction, and any injury or roster moves can shift expectations quickly. Weather and park characteristics also provide important context that can persist across seasons.
Market prices represent traders’ aggregated expectations for the discrete home-run totals the market covers; interpret them as a real-time signal that should be combined with your own game-level analysis rather than a definitive forecast.
Each outcome corresponds to a specific discrete count of home runs recorded in the listed game as defined on the contract page; the market’s outcome labels map to those specific home-run totals.
The event shows a close time of 'TBD'; platforms typically set the final close at or near the game’s first pitch or allow live trading until a specified in-game cutoff, so check the contract page for the official close time once it’s posted.
The scheduled starters and the teams’ primary power hitters in the projected lineups are the biggest drivers — a marquee slugger or a homer-prone pitcher in the lineup or rotation can materially change expected totals.
Confirm which team is home and review that ballpark’s homer friendliness, then check wind speed/direction and temperature for the scheduled start time because those conditions materially affect ball carry and thus home-run propensity.
A late scratch or a different starter can meaningfully change the market’s expected home-run profile; reassess by comparing the replacement pitcher’s home-run metrics and the altered lineup before trading or holding positions.