| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Toronto over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 123.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 126.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 135.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 132.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 96.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 129.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Utah over 120.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Toronto over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders take positions on team scoring totals for the Toronto at Utah game on Kalshi; it matters because team totals capture expectations about offensive output and game pace beyond a simple winner/loser bet.
Team totals markets are influenced by matchup history, roster availability, and game context (rest, travel, and schedule). Outcomes can shift quickly as injury news, starting lineups, or coaching decisions become public, and the market aggregates those updates into prices.
Market prices represent the collective view of which scoring-range outcomes are most likely and will update as new information arrives; interpret prices as signals to compare against your own forecast rather than fixed truths.
The 18 listed outcomes correspond to the discrete scoring thresholds or ranges offered on the market for the teams; each outcome label on the event page specifies the exact team and point range or cutoff that will determine settlement.
Closes: TBD; Kalshi typically closes team-total markets at or shortly before the scheduled game start, but the exact close time appears on the event page and may update if the game time changes.
Late news is quickly incorporated into prices as traders react; such changes alter expected team scoring and therefore which outcome bands are more likely, and final settlement is based on the official final box score and Kalshi's resolution rules.
Head-to-head history can be informative but should be weighted alongside current-season form, roster changes, and small-sample variability; prioritize recent matchups and context like roster continuity and coaching strategies.
Settlement or voiding is handled according to Kalshi's event resolution policy; check the platform's rules for contingencies and how they treat postponed, canceled, or shortened games.