TOTAL VOLUME:
$154.2b
24H VOL:
$203,036,808
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,857,846,526
408,774
Markets across
40,345
events
MATCHED EVENTS:
4,373
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 6:10 PM EST
Kalshi
The outcome hinges on which team secures victory in the Penn vs Dartmouth college football matchup scheduled for October 3, 2026.
The market resolves to Yes if either Penn or Dartmouth wins the game as scheduled. If the game is postponed but starts within 48 hours of the original time, the market stays open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, the market resolves to a fair price.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks set lines to balance their risk and incorporate a profit margin, while this market reflects the collective wisdom of traders who have skin in the game. This can lead to discrepancies, especially as new information emerges or public sentiment shifts. While sportsbooks may initially favor one team, the prediction market can adjust more rapidly to incorporate factors that sportsbooks haven't fully priced in, like injuries or changes in team dynamics. It’s a fascinating comparison to observe.
This market resolves around Oct 3, 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 Penn vs Dartmouth game, as reported by a trusted source for college sports results. Traders will be able to see the final outcome reflected in the market's settlement data. The platform will verify the result and distribute payouts to contract holders based on the final result of the game.
Several signals could significantly move this market before Oct 3, 2026. Any news regarding key player injuries on either the Penn or Dartmouth teams would likely cause a shift in probabilities. Unexpected changes in coaching strategies or significant weather forecasts impacting game conditions could also influence trading activity. Furthermore, major upsets in other games involving these teams, or shifts in public perception based on expert analysis, could all contribute to changes in the market’s pricing. Monitoring these factors can help understand potential movements in the market.