TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 2:10 PM EST
Kalshi
This market tracks which team will lead at the end of the first half in an upcoming college football game between Rutgers and Maryland. It focuses solely on the scoring during the first half, ignoring the final game result. The outcome depends on whether Maryland, Rutgers, or neither team (in case of a tie) holds the advantage after 30 minutes of play.
If Maryland wins the 1st half of the Rutgers vs Maryland college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If Rutgers wins the 1st half of the Rutgers vs Maryland college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Rutgers vs Maryland college football game originally scheduled for Oct 16, 2026, then the market resolves to Yes.
Generally, prediction market odds reflect the wisdom of the crowd, and can differ from those offered by sportsbooks. Sportsbooks set lines to balance action and ensure profit, often incorporating a margin for themselves. This market, however, is driven by individuals trading based on their own analysis and information. If a significant number of traders believe a sportsbook’s odds are inaccurate, they can influence the price here, potentially creating discrepancies. It's common to see prediction markets more accurately forecast outcomes, especially when there's substantial trading volume.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Rutgers vs Maryland game will determine the winning contract. The official result, as reported by a trusted sports data source, will be used to settle the market. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not. The exact payout amount is determined by the final market price at resolution.
Several factors could influence the price of this market. Any news regarding player injuries or suspensions for either Rutgers or Maryland would likely cause significant movement. Changes in team performance, such as a surprising win or loss in a recent game, could also shift market sentiment. Even external factors like weather conditions on game day might play a role. Unexpected announcements about starting lineups or coaching decisions could also lead to price fluctuations in this market, as traders react to the new information.