| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Old Dominion wins by over 10.5 Points | 50% | 49¢ | 50¢ | — | $5K | Trade → |
| Old Dominion wins by over 13.5 Points | 0% | 38¢ | 41¢ | — | $0 | Trade → |
| Old Dominion wins by over 1.5 Points | 0% | 79¢ | 86¢ | — | $0 | Trade → |
| Louisiana-Monroe wins by over 2.5 Points | 0% | 9¢ | 14¢ | — | $0 | Trade → |
| Old Dominion wins by over 25.5 Points | 0% | 6¢ | 13¢ | — | $0 | Trade → |
| Old Dominion wins by over 4.5 Points | 0% | 70¢ | 76¢ | — | $0 | Trade → |
| Old Dominion wins by over 19.5 Points | 0% | 18¢ | 24¢ | — | $0 | Trade → |
| Old Dominion wins by over 22.5 Points | 0% | 11¢ | 16¢ | — | $0 | Trade → |
| Louisiana-Monroe wins by over 5.5 Points | 0% | 3¢ | 9¢ | — | $0 | Trade → |
| Old Dominion wins by over 16.5 Points | 0% | 27¢ | 32¢ | — | $0 | Trade → |
| Old Dominion wins by over 7.5 Points | 0% | 60¢ | 64¢ | — | $0 | Trade → |
This market lets traders take positions on the point-spread outcome for the college football game Louisiana–Monroe at Old Dominion; it matters because spread markets aggregate public and professional views about margin of victory and can move as new information appears. Active markets give bettors, hedgers, and analysts a real-time gauge of expectations for this specific matchup.
Louisiana–Monroe (ULM) and Old Dominion are FBS programs with differing styles and conference affiliations; they meet on the field with typical college-football variables such as roster turnover, coaching strategy, and travel affecting the contest. Historical head-to-head results and recent program trajectories can inform expectations, but each game also depends on week-to-week health, matchup quirks, and situational factors like home-field advantage. Because this market is a spread market, small changes in available information can produce meaningful price movement across the listed spread outcomes.
In a spread market, prices reflect the market's aggregated view of which margins are most likely; when traders buy or sell outcomes the market updates to reflect new information. Treat prices as a live consensus that can change with injury reports, weather, starting-lineup announcements, and other game-day developments.
The event page currently shows the market closing as TBD; many platform spread markets close at kickoff or are assigned a specific settlement time by the exchange, so check the KALSHI market page or official rules for the announced close time.
The 11 listed outcomes correspond to discrete margin buckets (ranges of final-point differentials) that cover all possible spread results for this game; each outcome pays out if the final margin falls in that outcome’s defined range—consult the market description for the exact boundaries of each bucket.
Quarterbacks and their pass protection, the offensive line’s ability to run and hold up pass rush, the opposing pass rush and secondary, and key special teams contributors are the primary drivers—news about starters, injuries, or suspensions at those spots typically prompts market movement.
Reported volume gives a sense of liquidity and participation: higher volume generally means prices incorporate more money and information, while lower volume can make prices more sensitive to individual trades; use volume alongside price movement and news flow to judge how robust market signals are.
Settlement in the event of postponement or cancellation follows the exchange’s contingency rules; some contracts are voided and funds returned, others settle on a rescheduled date—confirm KALSHI’s official settlement policy for this specific contract before trading.