| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Tie | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota wins 1st half | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston wins 1st half | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which team—Minnesota or Boston—will be leading at the official halftime (with a third outcome for an exact tie). It matters for short-term traders and fans who want to express a view on in-game momentum rather than full-game outcomes.
This is a first-half settlement market tied to the halftime score of a scheduled Minnesota vs Boston matchup; the market currently lists three possible outcomes (Minnesota, Boston, or tie) and the close time is listed as TBD. First-half markets focus on early-game dynamics—starting lineups, opening strategies, and tempo—so they can diverge from full-game expectations and can be influenced by matchup-specific variables such as coaching tendencies and rotation patterns.
Market odds/prices represent the crowd’s aggregated expectation for which side will lead at halftime; treat them as a real-time signal that updates as new information (injuries, starting lineups, tip time) arrives. Use prices to compare implied consensus to your own read of first-half factors rather than as fixed forecasts.
The first half is the game time from the opening tip through the official halftime buzzer; the outcome is decided by which team is leading at the official halftime score, with a separate outcome if the score is exactly tied at halftime.
The close time is listed as TBD for this market; typically first-half markets close at or shortly before the scheduled game start to prevent new positions after tipoff. Check the market page on KALSHI for the finalized close time and any last-minute updates.
Starting lineup announcements and late injury updates are high-impact for first-half markets because they directly change early rotations and matchup dynamics; update your assessment once official lineups are posted and monitor injury designations that could limit a player’s minutes.
Head-to-head first-half history can offer context—showing tendencies in matchups or coaching patterns—but sample sizes are often small and situational (home/away, roster changes, rest). Use recent season-level first-half splits and current roster context for stronger signals.
Overtime does not affect the halftime outcome because settlement is based on the official halftime score. If the game is postponed or canceled, settlement will follow the platform’s event rules; check KALSHI’s market terms for provisions on postponements, cancellations, and voided markets.