| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Minnesota wins by over 3.5 Points | 52% | 50¢ | 52¢ | — | $2K | Trade → |
| Northwestern wins by over 18.5 Points | 6% | 1¢ | 2¢ | — | $51 | Trade → |
| Minnesota wins by over 12.5 Points | 23% | 19¢ | 24¢ | — | $4 | Trade → |
| Minnesota wins by over 9.5 Points | 30% | 27¢ | 31¢ | — | $3 | Trade → |
| Minnesota wins by over 6.5 Points | 40% | 38¢ | 41¢ | — | $2 | Trade → |
| Northwestern wins by over 3.5 Points | 27% | 26¢ | 30¢ | — | $1 | Trade → |
| Northwestern wins by over 15.5 Points | 0% | 3¢ | 4¢ | — | $0 | Trade → |
| Northwestern wins by over 6.5 Points | 0% | 17¢ | 21¢ | — | $0 | Trade → |
| Northwestern wins by over 12.5 Points | 0% | 5¢ | 8¢ | — | $0 | Trade → |
| Northwestern wins by over 9.5 Points | 0% | 11¢ | 15¢ | — | $0 | Trade → |
| Minnesota wins by over 15.5 Points | 0% | 12¢ | 16¢ | — | $0 | Trade → |
| Minnesota wins by over 18.5 Points | 0% | 6¢ | 9¢ | — | $0 | Trade → |
This market lets traders express expectations about the point-spread outcome for the Northwestern at Minnesota game; it matters because spreads summarize how the market anticipates the margin of victory and can move as new information arrives. The market currently shows 10 distinct outcomes and has seen $71 of volume traded, indicating modest liquidity.
Northwestern and Minnesota are Big Ten programs with differing recent performance trends, roster strengths, and coaching styles; matchups between them typically hinge on each team's offensive identity and turnover margins. Historical results, home-field effects, and midweek injury reports often shape how bettors and traders price the spread as kickoff approaches.
Prediction market prices for a spread correspond to the market’s consensus about which margin-range is most likely and will update with new information such as injuries, weather, or lineup changes. Treat prices as dynamic signals rather than fixed predictions: they change as participants incorporate real-time developments.
Resolution is based on the official final score as reported by the market’s designated official sources after the game ends; the market will settle to the outcome corresponding to the final margin of victory or a push rule if applicable. Because the listed close time is TBD, traders should watch for the announced market close relative to kickoff and final official confirmation for settlement.
The 10 outcomes partition possible margins into discrete ranges or specific point-differential bins for settlement (for example, separate outcomes for different winning margin brackets for either team). Each outcome corresponds to one mutually exclusive margin-range; only the bin that contains the final game margin will settle as the winner.
Late injuries to high-impact players (starting quarterback, lead rusher/receiver, or key defenders) typically warrant re-evaluating the market because they change expected offensive or defensive production and can move the spread materially. If liquidity is low, consider that prices may overreact to single reports, so weigh multiple sources and expected replacement performance.
Yes — home-field effects (familiarity with the venue, crowd influence, travel fatigue for the visitor) are a standard component of spread-setting and are reflected in market pricing. The magnitude depends on team travel distance, crowd size expectations, and historical home/away splits for both programs.
Low volume typically means lower liquidity, which can lead to wider bid-ask spreads, larger price moves from individual trades, and greater sensitivity to single news items. Traders should size positions conservatively, be prepared for price volatility, and monitor for additional order flow that increases market depth before relying on prices as definitive information.