| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Bo Bichette: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Bichette: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Bichette: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bo Bichette: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brandon Lowe: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Bryan Reynolds: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Lindor: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Juan Soto: 6+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brett Baty: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Francisco Alvarez: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Mangum: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Mangum: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jake Mangum: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jared Triolo: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jared Triolo: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jared Triolo: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joey Bart: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joey Bart: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Joey Bart: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jorge Polanco: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Luis Robert: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcell Ozuna: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Marcus Semien: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Gonzales: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Gonzales: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Gonzales: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Yorke: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Yorke: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Yorke: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ryan O'Hearn: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Benge: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Benge: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Carson Benge: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which total bases range the combined Pittsburgh and New York M offense will produce in the specified game, a common way to trade on aggregate offensive output. It matters because total bases capture extra-base hits and singles together, offering a single metric for overall team hitting performance.
Context includes the two teams' recent offensive form, the scheduled starting pitchers and bullpen depth, and the game location, all of which shape the expected run and hit environment for this matchup. Historical head-to-head results and season-long park factors can provide additional perspective on whether this game typically produces many or few bases. Because the market has 22 discrete outcomes, it slices the full range of possible totals into narrow settlement bands.
Market prices represent the collective market view about which total bases band will occur and will move as new information arrives (lineups, injuries, weather, pitching changes). Traders use price movement to infer how the market is updating expectations, but settlement ultimately depends on the official game box score used by the platform.
The event page lists the close as TBD; check the KALSHI market page for the official close time. Many sports markets on the platform close at first pitch or at a platform-specified settlement checkpoint, so monitor updates before game start.
The 22 outcomes divide the full range of possible combined total bases into discrete bands (e.g., low, mid, high ranges). Each outcome corresponds to a specific band and the market settles to the band that contains the official combined total bases from the game.
Settlement is based on the official game box score as designated by the platform’s rulebook—typically the official league scorer’s box score or a named official data provider; consult the KALSHI rules for the exact source used for this event.
Lineup and pitching news are material and often move the market; traders commonly wait for official confirmations of lineups and probable pitchers before placing large bets. If a key hitter or a big strikeout pitcher is scratched, expect market prices to adjust to reflect the new expected total bases.
Relevant trends include recent head-to-head scoring levels, each team’s splits versus hand of the opposing starter, and whether the venue tends to suppress or boost extra-base hits. Also consider any seasonal shifts (early-season cold vs late-season warm conditions) that historically affect hitting at that ballpark.