| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Binghamton | 27% | 25¢ | 27¢ | — | $1K | Trade → |
| Maine | 76% | 73¢ | 75¢ | — | $1K | Trade → |
This market resolves on the outcome of the Binghamton at Maine game and helps traders express beliefs about which team will win. It matters to bettors and fans because it aggregates available information into a single moving price for each outcome.
Binghamton and Maine are institutions that meet periodically in collegiate athletics (often in conference play), with game outcomes influenced by seasonal form, roster composition, and coaching matchups. Historical results, travel patterns, and timing within the season (e.g., early season vs. conference play) provide useful context for assessing this specific matchup.
Market odds reflect aggregated expectations based on available information and will shift as new data (injuries, lineups, weather/travel disruptions) arrives; when trading volume is low, prices can swing more on individual trades and may not fully reflect consensus information.
This market offers two mutually exclusive outcomes corresponding to which team wins the game: a Binghamton win or a Maine win. The market will resolve to whichever team is declared the winner at the official end of play.
The market will close prior to resolution when the official start time and closing rules are posted; typically markets close shortly before the scheduled tip-off to prevent trades after the game begins. Currently the close time is listed as TBD and will be updated when the game time is confirmed.
Injury updates, suspensions, or late scratches materially affect expectations because they change team strengths; traders often react quickly when official injury news is released, so markets can shift ahead of the start if key players are ruled out.
Head-to-head results provide context but should be weighed alongside current-season form, roster differences, and venue. Past results can indicate matchup tendencies, but roster turnover and coaching changes can reduce their predictive value.
Key external factors include travel disruptions to the visiting team, extreme weather affecting arrival or fan attendance, late coaching announcements, and official game-time confirmations; any of these can alter trader expectations and cause rapid price movement.