| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Pittsburgh wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Pittsburgh wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colorado wins by over 1.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Colorado wins by over 2.5 goals | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market offers tradable outcomes tied to the point-spread result of the Colorado at Pittsburgh matchup, letting participants express views on the game's margin of victory. Spread markets matter because they synthesize public information about expected competitiveness and can move as new information arrives.
Colorado at Pittsburgh is decided by on-field matchups, coaching strategies, and situational factors like venue and travel; recent roster turnover and schedule context can materially change expectations from week to week. Historical head-to-head results provide context but are often less predictive than current-season form, injuries, and matchup-specific strengths such as run/pass balance and defensive styles.
In a spread market each listed outcome represents a range of possible final-margin results; market prices reflect collective judgment about which range is most likely. Use prices as a real-time indicator of market sentiment rather than a fixed forecast of the final score.
Settlement is based on the official final score margin as defined by the market rules; the outcome that corresponds to the margin at final whistle will be declared the winner according to KALSHI's settlement procedures.
The market's close time is listed as TBD; KALSHI will publish an exact close time prior to trading, and markets of this type commonly close at or shortly before game kickoff per the platform's rules.
Each of the four outcomes corresponds to a discrete range of final-score margins (for example, distinct bands favoring one team or the other); consult the market's posted outcome descriptions for the exact margin thresholds that define each bucket.
Watch official injury and starter reports, travel or practice-day issues, announced game plans or rotation changes, and any weather or venue notices—these items often drive the largest pre-game price adjustments.
Head-to-head history can provide color—especially recent matchups between coaching staffs or similar rosters—but markets typically weight current-season form, matchup specifics, and present availability more heavily than distant historical results.