| 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 → |
| 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 → |
| Oneil Cruz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oneil Cruz: 3+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oneil Cruz: 4+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Oneil Cruz: 5+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how many total bases will be recorded in the Pittsburgh vs New York M game; total bases counts all hits weighted by type (single=1, double=2, triple=3, home run=4). It matters because total bases aggregates offensive output into a single measurable outcome that reflects both power and contact in the matchup.
The market is hosted on KALSHI and lists 25 distinct outcomes representing ranges or exact totals for combined team offensive production. Market details such as listed outcomes, settlement rules, and closing time are set by the event page; at listing the market shows Total Volume Traded: $0 and Closes: TBD, both of which can change before the market closes. Historical context to consider includes each team's recent offensive form, head-to-head tendencies, and ballpark effects, all of which influence typical total-base totals in similar matchups.
Prediction market prices represent the crowd's current consensus expectation for which total-bases outcome will occur, and prices move as new information arrives (lineups, pitchers, weather). Use prices as a real-time summary of market belief rather than fixed forecasts, and check contract definitions and settlement criteria on the market page before trading.
Each outcome corresponds to a specific total-bases range or exact total for the combined teams in that game; consult the market's outcome list and contract rules on KALSHI to see how ranges are defined and how settlement will be determined.
Announcement of a starter typically causes rapid price movement because starters bring pitch repertoire, recent form, and matchup data that change expectations for hits and extra-base hits; expect market adjustments when official rotations are posted.
With many discrete outcomes, the market gives finer-grained forecasts; prices reflect the probability mass across narrow ranges, so small news can reallocate expectation among adjacent outcomes and liquidity may be spread thin across many contracts.
Settlement follows the event rules posted on the market page and KALSHI's terms—outcomes may be voided, frozen, or settled based on a minimum innings requirement or official game completion; check the market's settlement criteria for this specific scenario.
Useful data include recent team and opponent-specific batted-ball profiles (isolated power, extra-base-hit rates), park-adjusted hitting metrics, starting-pitcher home/away splits, and recent lineup news—combine these with up-to-date injury and weather information for the most relevant view.