| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 2.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 5.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 9.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 10.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 11.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 12.5 runs scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This Kalshi market asks traders to predict the combined total runs scored in the A's vs Toronto game. Totals markets matter because they concentrate expectations about pitching, hitting, and conditions into a single measurable outcome.
Context for this matchup includes each club's starting rotation, recent lineup decisions, and roster health; those elements can shift up to game time and materially change scoring expectations. Historically, Oakland has emphasized pitching and cost-controlled roster construction while Toronto has leaned more on middle-of-the-order offensive production in recent seasons, but single-game scoring is driven primarily by that day's pitchers, lineups, and conditions.
Prediction market prices reflect the collective view of traders about which total-run range is most likely for this game; use them as a snapshot of market consensus and compare them with game-specific information (starting pitchers, weather, lineups) before deciding.
The market covers the single game specified in the contract; the exact date and start time are listed on the Kalshi event page—check the contract details there for the scheduled kickoff and any updates.
Whether extra innings count depends on the contract definition provided by the market—some contracts count regulation only while others include all innings; verify the contract rules on the event page.
They represent discrete total-run bins or specific total-run values defined by the contract (for example, ranges or exact totals); the event description on Kalshi shows the precise mapping of outcomes to run totals.
Monitor final confirmed starting pitchers, late scratches to the offensive lineup, injury reports, and bullpen usage from prior days—any change to the projected starters or a key hitter sitting can shift expected scoring materially.
Stadium effects are substantial: if the game is in Toronto, roof status at Rogers Centre controls indoor conditions; if in Oakland, open-air factors like wind direction and deep outfield dimensions matter—check venue and weather forecasts for that game day.