| 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 → |
| Oneil Cruz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oneil Cruz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total home runs will be hit in the Pittsburgh vs New York M game; it matters because home-run totals capture the game’s offensive environment and drive trading interest from bettors who follow matchup and ballpark dynamics.
Pittsburgh and New York M bring distinct offensive and pitching profiles that influence home-run expectations: lineups, recent team power trends, and typical starting pitcher home-run rates all matter. Ballpark characteristics and situational factors (weather, bullpen usage, late scratches) routinely shift expectations between when the market opens and game time.
Market prices represent the crowd’s aggregated view of which home-run total is most likely; traders compare those prices to their own read of the matchup and trade when they see a discrepancy. Prices will move as new information arrives—starting lineups, pitching announcements, weather updates, and in-game events.
Any plate appearance officially scored as a home run by the game’s official scorer counts for this market, whether over-the-fence or inside-the-park, and whether hit by a starter, pinch-hitter, or substitute—unless the event description on KALSHI specifies an alternate rule.
Generally yes—home runs recorded during extra innings are included unless the market’s rules explicitly restrict counting to regulation innings. Always check the event rules on the platform to confirm.
Resolution follows KALSHI’s contingency and dispute rules: a market may be voided, resolved based on official statistics at completion, or otherwise adjusted per the platform’s policy. Consult the event terms on the KALSHI page for the authoritative procedure.
It means the market partitions possible home-run totals into 12 distinct outcomes (each outcome corresponds to a specific total or a defined range). Review the outcome labels on the event page to see the exact totals or ranges represented by each outcome before trading.
Announcements that change run-scoring expectations—starting pitcher confirmations or last-minute changes, lineup revelations or scratches, wind and weather updates at the ballpark, and bullpen/injury news—are the fastest movers for a home-run market.