TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 4:05 PM EST
Kalshi
This market tracks whether Rutgers will win its college football game against Maryland. Currently, Kalshi gives Rutgers a win probability of 84.0%, while Maryland is at 15.0%. The market resolves based on the outcome of the Rutgers vs Maryland college football game originally scheduled for October 16, 2026, as reported by the game’s official result. Keep a close eye on the game itself on October 16, 2026, as the result of that contest will determine the market’s resolution.
The market resolves to Yes for the respective team if they win the college football game originally scheduled for October 16, 2026. If the game is postponed but begins within 48 hours of the originally scheduled start time, the market stays open and resolves based on the official final result. If the game is cancelled or not started within 48 hours of the original schedule, the market resolves to a fair price. Kalshi is not associated with the NCAA, and all trademarks are the property of their respective owners.
Prediction market odds often reflect a different kind of wisdom than sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market aggregates the beliefs of a diverse group of traders. Typically, prediction markets are considered more accurate forecasters of event outcomes than traditional betting markets, especially when a significant amount of volume is traded. However, sportsbook odds can still be a useful point of comparison, offering insight into public perception and potential biases. It’s common to see some initial divergence before the market approaches the event date.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Rutgers vs Maryland game, as reported by a trusted sports data source. Traders who correctly predicted the outcome will receive a payout based on the final market price at resolution. This allows for a clear and objective determination of the winning outcome, ensuring fairness and transparency for all participants in this market.
Several factors could influence the price movement of this market. Any significant news regarding team injuries, coaching changes, or unexpected player performance could shift trader sentiment. Major upsets in other games involving these teams, or changes in weather forecasts impacting game conditions, could also play a role. Public opinion, as reflected in polls and expert analysis, can also indirectly affect trading activity. Monitoring these signals and understanding their potential impact is key to successful trading in this market.