| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Rudy Gobert | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Jaden McDaniels | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Julius Randle | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Donte DiVincenzo | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks which outcome related to 'double doubles' will occur in the Utah at Minnesota game and matters because double-doubles are a common player-level milestone that reflect how the game is being played and who is getting touches and rebounds.
This is a matchup between Utah and Minnesota where individual player performance (points+rebounds or points+assists) and team style determine how many double-doubles might occur. Historical matchup patterns, current rotations, and coaching strategies shape who is likely to accumulate the counting stats tracked by the market.
Market prices reflect traders' aggregated expectations about which outcome will happen; interpret changes as shifts in collective assessment driven by new information such as lineups, injuries, or in-season form.
The close time is listed as TBD; markets like this typically close before tip-off. Check the KALSHI market page for the announced close time and any updates.
There are four outcome options shown on the market page; each corresponds to a specific resolution condition (for example, a named player or team achieving a double-double or alternative outcomes). Each outcome resolves against the official box score and the market's stated resolution rules.
Focus on Utah's primary frontcourt players and any high-usage guards who regularly accumulate assists; check the probable starting lineup, recent minutes, and last several box scores to see who has been producing double-doubles lately.
Watch Minnesota's leading rebounders and primary ball-handlers—usually the starters who log heavy minutes. Recent form, matchup advantages on the glass, and playmaking roles are the best indicators.
Head-to-head history can provide context but is often a small sample; prioritize recent season trends, current-season per-game rebound and assist rates, and matchup-specific factors like pace and matchup defense when forming an assessment.