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Yale vs Cornell
predict
kalshi

What is the result of Yale vs Cornell?

Volume:
$102,811

Cornell

 - Kalshi

Cornell - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 26, 2026

Closed: Sep 26, 5:00 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Cornell

View
100%
85%
Yes 100¢No 0¢
100¢
N/A
$46,741
N/A
N/A
$30,884
Settled
Yes
predict

Yale vs. Cornell

View
1%
Yes 1¢No 99¢
—
$883
$7
N/A
N/A
N/A
Settled
No
kalshi

Yale

View
0%
84%
Yes 0¢No 100¢
100¢
N/A
$56,063
N/A
N/A
$40,830
Settled
No
Total markets: 3

Description

This group resolves based on the outcome of the Yale vs. Cornell college football game scheduled for September 26, 2026. The markets determine whether Yale or Cornell wins the game, with tie and cancellation scenarios addressed.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's market resolves to 'Yes' if either team wins, while Predict resolves to the specific winning team ('Yale' or 'Cornell').Hero tip: Focus on the Predict market for directional trading. Avoid the Kalshi market as it doesn't provide meaningful information about which team will win.

Critical divergence points:

  • kalshi: Resolves to 'Yes' if either Yale or Cornell wins the game. Key Quote: "If Cornell wins...the market resolves to Yes. If Yale wins...the market resolves to Yes."
  • predict: Resolves to 'Yale' if Yale wins, and 'Cornell' if Cornell wins. Includes tie and cancellation rules. Key Quote: "This market will resolve to "Yale" if Yale win the game. This market will resolve to "Cornell" if Cornell win the game."
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Kalshi

The market resolves to Yes for the specified team if they win the designated college football game. If the game is postponed but commences within 48 hours of the original schedule, the market stays open and resolves based on the final result. Should the game be cancelled or fail to start within this window, the market resolves to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain property of their respective owners.

Predict

In the upcoming college football game between Yale and Cornell, scheduled for September 26 at 1:00PM ET: This market will resolve to "Yale" if Yale win the game. This market will resolve to "Cornell" if Cornell win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Kalshi and Predict, this dashboard tracks the consensus view on the outcome of the Yale vs Cornell game. Currently, volume across both platforms totals $102,811, with $100,299 traded in the last 24 hours. Kalshi currently favors Yale winning at approximately 80 percent, while Predict also shows significant support for Yale, though specific probabilities aren't available. This allows traders to see how predictions are evolving and compare market sentiment across different venues, providing a comprehensive look at expectations for the game.

Prediction market odds, like those found on Kalshi and Predict, often reflect a 'wisdom of the crowd' that can differ from traditional sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while prediction markets allow anyone to trade on their beliefs, potentially leading to more accurate probabilities. This market’s implied probabilities may diverge from sportsbooks due to differing information sources, risk assessments, or simply the collective insight of market participants. It's common to see discrepancies, especially before significant events or when new information emerges.

Kalshi and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Kalshi and Predict can differ for several reasons. Kalshi has a more established user base and different trading dynamics, which can influence price discovery. Additionally, the volume traded on each platform—currently $102,811 overall—isn't evenly distributed, leading to potential price discrepancies. Different market makers and traders on each platform may also have varying opinions on the likely outcome of the Yale vs Cornell game, contributing to the observed differences in pricing. These factors combine to create distinct, yet related, markets for the same event.