TOTAL VOLUME:

$154.7b

24H VOL:

$279,496,801

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

Markets across

40,107

events

MATCHED EVENTS:

4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Yale vs. Penn
predict

What is the result of Yale vs Penn?

Volume:
$4,780

Yale vs. Penn

 - Predict

Yale vs. Penn - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 23, 2026

Closed: Oct 23, 10:00 PM EST

predict

Predict

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
predict

Yale vs. Penn

View
0%
Yes 0¢No 100¢
—
$2
$4,780
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Yale and Penn, scheduled for October 23 at 7:00PM ET: This market will resolve to "Yale" if Yale win the game. This market will resolve to "Penn" if Penn 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.

Predict

In the upcoming college football game between Yale and Penn, scheduled for October 23 at 7:00PM ET: This market will resolve to "Yale" if Yale win the game. This market will resolve to "Penn" if Penn 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 Predict, the dashboard for the Yale vs. Penn game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the outcome, allowing you to see shifts in sentiment over time. The current volume is $4,766, and the total volume traded to date is $4,780. This information is updated in real-time, providing a dynamic view of where traders stand on the likely result of the game. The dashboard is designed to give you a clear understanding of market activity.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds to balance action and ensure profit, while this market is driven purely by participants’ beliefs about the outcome. If a significant amount of money is wagered on one side, the odds will shift accordingly, potentially revealing information that isn’t yet fully priced into traditional betting markets. It's common to see prediction markets more accurately forecast outcomes, especially when there’s strong public sentiment or inside information influencing trading.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy contracts predicting a specific result, the price increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform’s interface displays these prices as probabilities, making it easy to understand the market’s collective forecast. This dynamic pricing allows the market to quickly incorporate new information and adjust expectations.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Yale vs. Penn game, as officially reported by a recognized sports authority, will determine the winning outcome in this market. The platform will then process the results and distribute payouts to those who correctly predicted the outcome. It’s important to note that the resolution is based on the official game result, not on any individual’s interpretation or subjective assessment.

Several factors could influence trading in this market before the game takes place. News regarding key player injuries, changes in coaching strategies, or even weather forecasts could all shift trader sentiment. Unexpected announcements about team dynamics or player availability are likely to cause significant price movements. Furthermore, large wagers placed by informed traders can also impact the odds, as can any shifts in public perception based on pre-game analysis or expert opinions. Monitoring these signals can provide insights into how the market is evolving.