TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:40 PM EST
Kalshi
These markets track various point-spread outcomes for an upcoming college football game, allowing participants to speculate on the margin of victory for either team. Each market corresponds to a different threshold of points by which either Dartmouth or Yale could win the game.
All markets resolve based on the official point differential from the Dartmouth vs Yale college football game scheduled for October 10, 2026. If Yale wins by exceeding the specified point threshold—ranging from 1.5 to 29.5 points—the corresponding 'Yes' outcome is triggered. Conversely, if Dartmouth wins by exceeding thresholds from 2.5 to 18.5 points, the respective 'Yes' outcome applies. For any game postponement, if play commences within 48 hours of the original kickoff time, the markets remain active and resolve per the final score. Should the game fail to start within this window, all markets settle at a fair price, reflecting the uncertainty introduced by the delay. Kalshi explicitly disclaims any formal association with the NCAA, and all team-related trademarks remain the property of their respective owners.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. If a significant discrepancy exists between this market and sportsbook odds, it may indicate differing opinions on the likely result of the Dartmouth vs Yale game, or potentially opportunities for arbitrage. It’s important to remember that both represent probabilities, but are derived through different mechanisms.
This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the final point spread of the Dartmouth vs Yale game, as reported by a major sports data provider, will be used to determine which contracts pay out. The market will settle to 100 for the contract corresponding to the correct spread, and 0 for all other contracts. Traders should monitor official sources for the final result to understand the resolution of this market.
Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either Dartmouth or Yale would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team's style of play, could also impact trading activity. Furthermore, public perception shifts based on expert analysis or updated team statistics could drive changes in the spread. Unexpected announcements related to coaching strategies or team morale could also contribute to volatility in this market.