| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 133.5 points scored | 48% | 46¢ | 48¢ | — | $2K | Trade → |
| Over 130.5 points scored | 56% | 54¢ | 56¢ | — | $414 | Trade → |
| Over 145.5 points scored | 16% | 16¢ | 20¢ | — | $117 | Trade → |
| Over 127.5 points scored | 0% | 60¢ | 64¢ | — | $0 | Trade → |
| Over 142.5 points scored | 0% | 22¢ | 27¢ | — | $0 | Trade → |
| Over 121.5 points scored | 0% | 73¢ | 78¢ | — | $0 | Trade → |
| Over 124.5 points scored | 0% | 66¢ | 71¢ | — | $0 | Trade → |
| Over 118.5 points scored | 0% | 78¢ | 85¢ | — | $0 | Trade → |
| Over 148.5 points scored | 0% | 12¢ | 15¢ | — | $0 | Trade → |
| Over 136.5 points scored | 0% | 36¢ | 40¢ | — | $0 | Trade → |
| Over 116.5 points scored | 0% | 83¢ | 88¢ | — | $0 | Trade → |
| Over 139.5 points scored | 0% | 29¢ | 34¢ | — | $0 | Trade → |
This market asks traders to predict the combined points scored by Northwestern and Minnesota in their upcoming game; it aggregates expectations about offense, defense, and game conditions into tradable outcomes.
Northwestern and Minnesota are Big Ten programs whose matchups can vary from low-scoring defensive battles to higher-scoring affairs depending on personnel and game plan. Team injuries, recent form, and coaching tendencies all shape scoring expectations; public information (depth charts, weather, and in-season trends) typically drives large updates to market prices.
Market prices reflect the crowd’s current expectation for the game’s total points and update as new information arrives; treat them as dynamic signals, not guarantees, and check the event page for exact outcome definitions and resolution rules.
The 12 outcomes break the possible final combined scores into discrete buckets or point ranges (or specific totals) defined on the market page; check the market details to see the exact mapping used for settlement.
The close time is listed as TBD on the event header; many platforms close trading at kickoff or a short time before, so monitor the KALSHI event page for the official cutoff and any last-minute updates.
Treat confirmed injuries or starter changes as high-impact information: adjust expectations for scoring based on the replacement’s track record, offensive line play, and schematic changes; the market typically incorporates these updates quickly.
Whether overtime counts depends on KALSHI’s resolution rules for this specific event—some total-points markets include overtime while others explicitly exclude it—so consult the event’s resolution terms before trading.
Head-to-head history and recent scoring trends provide context, but they should be adjusted for roster turnover, coaching changes, schedule strength, and sample size; use them alongside current-season metrics and situational factors rather than as sole drivers of your view.