| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Dallas over 110.5 points scored | 51% | 13¢ | 53¢ | — | $268 | Trade → |
| Dallas over 98.5 points scored | 99% | 49¢ | 99¢ | — | $30 | Trade → |
| Dallas over 107.5 points scored | 60% | 23¢ | 64¢ | — | $7 | Trade → |
| Toronto over 108.5 points scored | 0% | 80¢ | 99¢ | — | $0 | Trade → |
| Toronto over 114.5 points scored | 0% | 24¢ | 76¢ | — | $0 | Trade → |
| Dallas over 119.5 points scored | 0% | 0¢ | 26¢ | — | $0 | Trade → |
| Toronto over 132.5 points scored | 0% | 1¢ | 20¢ | — | $0 | Trade → |
| Toronto over 126.5 points scored | 0% | 0¢ | 37¢ | — | $0 | Trade → |
| Dallas over 122.5 points scored | 0% | 1¢ | 20¢ | — | $0 | Trade → |
| Dallas over 113.5 points scored | 0% | 4¢ | 44¢ | — | $0 | Trade → |
| Dallas over 101.5 points scored | 0% | 44¢ | 100¢ | — | $0 | Trade → |
| Toronto over 123.5 points scored | 0% | 1¢ | 46¢ | — | $0 | Trade → |
| Toronto over 111.5 points scored | 0% | 32¢ | 84¢ | — | $0 | Trade → |
| Dallas over 116.5 points scored | 0% | 0¢ | 35¢ | — | $0 | Trade → |
| Toronto over 129.5 points scored | 0% | 0¢ | 28¢ | — | $0 | Trade → |
| Dallas over 104.5 points scored | 0% | 29¢ | 74¢ | — | $0 | Trade → |
| Toronto over 117.5 points scored | 0% | 16¢ | 67¢ | — | $0 | Trade → |
| Toronto over 120.5 points scored | 0% | 6¢ | 58¢ | — | $0 | Trade → |
This market lets traders express expectations for the team scoring totals in the Dallas at Toronto matchup, with multiple discrete outcomes covering different team-total ranges. It matters because collective trading reveals how participants price factors like lineups, pace, and game context that drive team scoring.
Dallas and Toronto are established franchises whose head-to-head games are shaped by matchup history, travel and venue effects, and season-long offensive and defensive trends. Team totals markets focus on how many points each team will score rather than which team wins, so historical scoring patterns, recent form, and roster availability are especially relevant. Market liquidity and late news (injuries, rest decisions) often drive rapid re-evaluation of expectations.
Market prices reflect the aggregated expectations of traders for each team’s scoring outcome and will move as new information arrives. For a multi-outcome team totals market, each listed option corresponds to a specific scoring range or threshold that will determine settlement.
They represent a set of discrete scoring thresholds or ranges for one or both teams; each outcome corresponds to a particular team-total bucket that will be used for settlement.
This specific market’s close time is listed as TBD; typically, team-total markets close at or shortly before official game start, but the exchange will post the definitive close time on the market page.
Whether overtime is included depends on the market’s settlement rules; check the event description on the exchange to see if totals are regulation-only or include overtime.
Price movement reflects traders incorporating the new information; a confirmed absence or lineup change for a key scorer typically shifts expectations for that team’s total, and low-liquidity markets can move more sharply.
Settlement procedures are governed by the exchange’s rules: a postponed game may result in delayed settlement until rescheduled, while a cancellation often leads to voiding or other predefined outcomes—refer to KALSHI’s official settlement policy for specifics.