| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Philadelphia wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Philadelphia wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 1.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 2.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Texas wins by over 3.5 runs | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers discrete outcomes on the point spread between Texas and Philadelphia on KALSHI, letting traders express views on the game's margin. It matters because spread markets aggregate information about team strength, injuries, and other game-day factors into tradable prices.
The Texas vs Philadelphia spread reflects the expected scoring margin between the two clubs based on season form, recent results, and matchup specifics. Historical head-to-head results, venue (home/away), and each team’s performance over the current season all feed into market expectations. KALSHI has divided this event into six spread outcomes so traders can take positions across different margin ranges.
Market quotes represent the collective view of traders about which spread outcome will occur; movement in quotes signals changing expectations as new information arrives. Use those moves together with independent game analysis rather than as definitive predictions.
Each outcome corresponds to a specific range or bucket of the game’s final point margin relative to the posted spread; the market resolves to the outcome that matches the official final margin as determined by the game’s official score.
The market close time is listed as TBD for this event; KALSHI typically announces or updates closing windows on the platform, and markets commonly close at or shortly before official game start—check the event page for updates.
Resolution follows the exchange’s published rules: outcomes are determined by the official final score reported by the league, including overtime if applicable, subject to any post-game score corrections described in KALSHI’s resolution policy.
Watch injury reports for starters, surprise lineup changes, suspension news, pre-game quarterback status, and last-minute travel or illness reports—these items tend to shift expectations for margin and can move the market sharply.
Use market movement as a signal of how other participants are interpreting new information, then compare that to your own assessment of injuries, matchup analytics, situational context, and any weather or venue factors to decide whether the market has over- or under-reacted.