| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Over 5.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 4.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 7.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 2.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 6.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 9.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 3.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Over 8.5 goals scored | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market lets traders take positions on the total number of points scored in the Chicago at Minnesota game; it aggregates market views about how high- or low-scoring the game will be. It matters because total-points markets provide a concise way to express expectations about game tempo, offensive efficiency, and environmental factors.
Chicago at Minnesota is a single-game total that reflects the matchup between the visiting Chicago team and the home Minnesota team; past meetings, roster construction, and current-season scoring environments set the historical backdrop for expectations. Venue characteristics (indoor vs. outdoor), calendar timing, and recent trends in both teams’ offense and defense commonly shape how traders think about expected scoring.
Market prices (odds) summarize the crowd’s aggregated view of likely total points and change as new information arrives. Interpret price movement as the market updating its consensus in response to roster news, weather forecasts, injury reports, and other game-specific developments rather than as fixed forecasts.
The market currently shows a closing time of TBD; check the market page for an updated close time. Settlement will be based on the official final score recorded by the recognized league or stat provider specified in the contract terms, and the market will settle into the outcome that corresponds to that official total.
The eight outcomes partition possible final-game totals into distinct buckets or ranges (or specific thresholds) defined by the market creator; consult the event page for the exact mapping of each outcome to a points range or breakpoint before trading.
Quarterback availability and style strongly affect scoring expectations—an accurate, mobile, or high-volume passer typically pushes expectations higher, while a backup or conservative passer can lower them. Monitor official injury reports, team announcements, and late practice designations; market prices often move quickly on confirmed QB news.
Outdoor cold, wind, or heavy precipitation tends to favor lower passing efficiency and fewer explosive plays, reducing expected totals, while mild, calm conditions favor higher-scoring outcomes. Verify whether the game is indoors or outdoors and check updated weather forecasts as kickoff approaches.
A low or zero reported volume indicates limited trading activity so far; prices may be thin and can move sharply on small orders or on new information. Expect wider spreads and greater sensitivity to late-breaking roster or weather news until liquidity increases as the event approaches.