| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 3.5 goals scored | 34% | 33¢ | 34¢ | — | $2K | Trade → |
| Over 4.5 goals scored | 16% | 16¢ | 17¢ | — | $386 | Trade → |
| Over 2.5 goals scored | 57% | 55¢ | 57¢ | — | $317 | Trade → |
| Over 1.5 goals scored | 78% | 78¢ | 79¢ | — | $81 | Trade → |
This market asks which combined scoring range the Minnesota at Nashville game will finish in (the "totals"). Totals markets matter because they aggregate market participants' expectations about game pace, scoring, and key matchups.
Context for a totals market includes both teams' recent scoring and defensive patterns, their matchup history, and any roster or coaching developments that affect tempo. Home/away status, travel and rest, and the specific competition format (e.g., regulation-only vs. including overtime) also shape expectations.
Prices in a totals market reflect the collective assessment of traders about which scoring range is most likely; they move as new information (lineups, injuries, weather, coaching changes) comes in. Use prices as a real-time signal of market sentiment rather than fixed predictions.
The winning outcome is determined by the final combined score falling into the range specified by that outcome as defined in the market contract. Consult the market description on the trading platform to see the exact score ranges and resolution rules.
Whether overtime or shootouts count depends on the contract terms for this specific market; check the market's resolution rules on KALSHI. Some totals markets use the official final score including overtime/shootouts, while others use regulation-only results.
This market's close time is listed as TBD; typically totals markets close before the game starts or at a specified pre-game deadline. Market liquidity and prices can change rapidly as starting lineups and late-breaking news are posted close to game time.
Late roster changes that remove or insert key offensive players or change the starter on defense (goalie/pitcher) can materially shift expected scoring, prompting fast market repricing. Traders often react to confirmed official announcements from teams.
Head-to-head history can provide context on matchup tendencies (pace, scoring patterns) but should be combined with current-season form, roster statuses, venue, and situational factors. Use historical data as one input among many rather than a sole predictor.