| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Brent Rooker: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Brent Rooker: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jacob Wilson: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jacob Wilson: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Kurtz: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Nick Kurtz: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shea Langeliers: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Shea Langeliers: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Addison Barger: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Addison Barger: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daulton Varsho: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Daulton Varsho: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ernie Clement: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Ernie Clement: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| George Springer: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| George Springer: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Vladimir Guerrero Jr.: 1+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Vladimir Guerrero Jr.: 2+ | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This Kalshi market covers the number of home runs in the A's vs Toronto game; it matters because home-run outcomes capture the game’s power dynamics and are a common way for traders to express expectations about scoring.
Oakland and Toronto bring different park environments, lineups, and pitching matchups that historically influence home-run frequency; those factors can vary significantly from game to game depending on starting pitchers, roster construction, and venue. Because the market lists multiple discrete outcomes (18 in this instance), traders are effectively choosing among specific home-run totals or ranges rather than a simple yes/no proposition.
Market prices reflect the collective view of traders about which home-run outcome is most likely given available information; they update as lineup, weather, and pitching information changes and should be interpreted as a real-time consensus rather than a fixed forecast.
Each outcome corresponds to a specific labeled home‑run total or range as presented on the Kalshi market page; the winning outcome will be the one that matches the official postgame home‑run count used for settlement.
The market’s official close time is set by Kalshi and will be posted on the event page when determined; trades cease at that announced close time, so check the Kalshi listing or notifications for the confirmed cutoff before placing orders.
Settlement relies on the official MLB game statistics and box score as recognized by the exchange; any official scoring changes made by MLB (including replay reviews) are used to determine the final home‑run total.
Handling of delayed or incomplete games depends on Kalshi’s event rules and any platform notices; markets may be voided, held open until the game is completed, or settled per the platform’s stated policy, so monitor official Kalshi communications if the game is disrupted.
Key movers include confirmed starting pitchers and their recent home‑run tendencies, final batting orders and any late scratches, weather and wind updates for the ballpark, and in‑game events such as early scoring or unexpected pitching changes that alter home‑run expectations.