TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 3:47 PM EST
Kalshi
Two college football teams will face off in an early game segment, with each squad aiming to establish dominance in the opening minutes. The contest will test both teams' initial strategies and execution under pressure.
The market resolves based on which team leads at halftime of the Yale vs Columbia college football game scheduled for October 31, 2026. A tie results in resolution to Yes for the tie outcome. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the official result. If the game does not start within 48 hours, it resolves to a fair price. Only points scored in the first half count toward resolution.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from sportsbook odds, which are often set by analysts. Sportsbooks may incorporate factors like public perception or team biases, while this market aggregates the beliefs of many individuals trading contracts. If a significant discrepancy exists between this market and sportsbook lines, it could indicate that traders believe the sportsbook is mispricing the probability of a particular outcome. It’s important to remember that both represent probabilities, but are derived through different mechanisms.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the Yale vs Columbia game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders holding contracts for the winning team will be paid out according to the final market price at resolution, while those holding contracts for the losing team will forfeit their investment.
Several factors could influence the price movement of this market. News regarding key player injuries or suspensions for either Yale or Columbia would likely have a significant impact. Unexpected changes in weather conditions could also shift expectations, especially if they favor one team’s playing style. Additionally, any significant shifts in public sentiment, perhaps driven by pre-game analysis or expert predictions, could cause traders to adjust their positions and move the market. Overall team performance in recent games could also be a catalyst.