TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 5:00 PM EST
Kalshi
This set of markets tracks the margin of victory in an upcoming college football game, allowing participants to speculate on how decisively either team might win. Each market corresponds to a different point spread threshold, reflecting various levels of Yale's or Cornell's dominance in the contest.
All markets resolve based on the official point differential from the Yale vs Cornell college football game scheduled for September 26, 2026. If Yale wins by exceeding the specified point spread for any given market, that market resolves to Yes; otherwise, it resolves to No. Conversely, if Cornell wins by more than the stated margins in their respective markets, those resolve to Yes. Postponements are handled leniently—if the game commences within 48 hours of its original time, all markets remain active and resolve according to the final result. Should the game fail to start within this window, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of timing changes.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market aggregates the insights of individuals with varying levels of knowledge. It’s common to see discrepancies between the two, especially before significant events or when new information emerges. Comparing the two can be a useful exercise in understanding differing viewpoints on the likely outcome of the Yale vs Cornell game.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes for the Yale vs Cornell spread. The price of each contract reflects the market’s current expectation of that outcome’s probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are incentivized to provide accurate predictions, as profitable traders are rewarded and those who misjudge the market face losses. This dynamic pricing mechanism aims to quickly incorporate new information and reflect the evolving consensus of participants.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread of the Yale vs Cornell game, as reported by a recognized sports data source, will determine the winning contracts. The resolution will be based on the official result of the game, ensuring a transparent and objective outcome. Traders will then be able to claim their winnings or adjust their strategies for future markets based on the verified result.
Several factors could significantly influence this market before the game takes place. Any news regarding key player injuries for either Yale or Cornell would likely cause a shift in the odds. Unexpected coaching changes, significant changes in team performance leading up to the game, or even weather forecasts could all impact trader sentiment. Major media coverage or public statements from analysts discussing the game could also contribute to price movements in this market, as traders react to new information and adjust their predictions.