| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Boston over 109.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 108.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 115.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 117.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 93.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 102.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 111.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 106.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 112.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 103.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 114.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 99.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 105.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 127.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Minnesota over 96.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 124.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 121.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Boston over 118.5 points scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market lets traders express views on how many points/goals each team will score in the Minnesota at Boston game by buying outcomes tied to team-total ranges. It matters because team totals isolate offensive and defensive performance and can react quickly to news that shifts scoring expectations.
Minnesota is the visiting team and Boston the home team; historical head-to-head trends, recent form, and schedule context (rest, travel, back-to-backs) shape scoring expectations. Team totals markets are commonly used around single games to trade on offense/defense matchups rather than full-game winners, and they remain sensitive to lineup news, officiating style, and pace-of-play differences.
Prices in this market reflect the market consensus about which scoring-range outcomes are most plausible for each team; as new information arrives (injuries, rotations, weather, travel), prices can move to incorporate that information. Since outcomes are discrete ranges, traders should confirm exact labels and settlement rules on the market page before trading.
The 18 outcomes are discrete, mutually exclusive scoring-range options tied to one or both teams’ final totals; each outcome corresponds to a specific range or bucket displayed on the market page. Consult the market interface for the exact numeric labels and which ranges apply to Minnesota versus Boston.
The event listing shows the close time as TBD; typically markets like this close at or shortly before the official game start and settle after the game concludes, but you should check the KALSHI market page for the confirmed closing timestamp.
Late injury reports or unexpected scratches can meaningfully change which scoring-range outcomes are attractive; traders and market makers often update prices quickly when such news breaks, so monitoring real-time updates is important if you plan to trade around game time.
Settlement conventions vary by market; some markets include overtime while others do not. The definitive answer is on the KALSHI event details and settlement rules for this specific listing, so check those rules before trading.
Watch which primary scorers are guarded by the opponent’s best defenders, whether bench scoring is expected to be used, and any tactical matchup changes (e.g., zone defense, matchup-line changes, or defensive matchups that force turnovers) — those factors tend to move expectations for a team’s total.