TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 26, 5:00 PM EST
Kalshi
This set of markets tracks the total points scored by both Yale and Cornell in their college football game scheduled for September 26, 2026. Each market corresponds to a different point threshold, allowing participants to speculate on whether the combined score will exceed various benchmarks.
The markets resolve based on whether the total points scored by both Yale and Cornell in their college football game exceed specified thresholds ranging from 30.5 to 70.5 points. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve according to the final score. If the game does not start within this window, the markets resolve to a fair price, ensuring equitable treatment for all participants under varying scheduling circumstances.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by professional oddsmakers, while this market is driven by the collective predictions of individual traders. It’s common to see discrepancies between the two, especially before significant events or when public sentiment shifts. These differences can arise from varying information sources, biases, or simply the dynamic nature of a decentralized market like Kalshi compared to a centralized sportsbook.
On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing different outcomes for the Yale vs Cornell points total. The price of each contract reflects the market’s probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective belief of the group. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement is influenced by factors like news, injuries, and overall betting activity, creating a dynamic and real-time assessment of the potential final score.
This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final points total from the Yale vs Cornell game will be used to determine which contracts pay out. Contracts predicting a total equal to or below the actual score will pay $100, while those predicting a higher total will expire worthless. The resolution will be based on the official game statistics, ensuring a transparent and verifiable outcome for all participants in this market.
Several signals could significantly impact this market. Any news regarding key player injuries for either Yale or Cornell would likely cause price fluctuations. Changes in weather forecasts, particularly if they suggest conditions favoring a high- or low-scoring game, could also move the market. Furthermore, significant betting activity – a large influx of volume on a particular point total – could indicate informed traders have a strong conviction, influencing the price. Public perception and analysis from sports commentators could also play a role in shaping the market’s direction.