TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Insights
Indices
API
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Elections
Crypto
Companies
Financials
Economics
Other
Entertainment
Science and Technology
Dartmouth vs. Yale
predict

What is the result of Dartmouth vs. Yale?

Volume:
$422

Dartmouth vs. Yale

 - Predict

Dartmouth vs. Yale - Predict

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:00 PM EST

predict

Predict

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

Dartmouth vs. Yale

View
1%
Yes 1¢No 99¢
—
$4,203
$422
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Dartmouth and Yale, scheduled for October 10 at 12:00PM ET: This market will resolve to "Dartmouth" if Dartmouth win the game. This market will resolve to "Yale" if Yale 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 Dartmouth and Yale, scheduled for October 10 at 12:00PM ET: This market will resolve to "Dartmouth" if Dartmouth win the game. This market will resolve to "Yale" if Yale 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 Dartmouth vs. Yale game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell shares. Currently, the total volume for this market is $422, with $422 traded in the last 24 hours. This provides a real-time view of where the crowd stands on the likely result of the game, offering insight beyond traditional polls or analyses.

Prediction market odds often differ from those found at sportsbooks, reflecting the wisdom of the crowd rather than a bookmaker’s assessment. Sportsbooks set lines to balance their risk and ensure profit, while this market aggregates the beliefs of many individuals. If a significant number of people believe an outcome is more likely than sportsbooks suggest, the price will move accordingly. Discrepancies can arise due to differing information, biases, or simply a larger and more diverse pool of participants contributing to this market.

On Predict, this market is priced through a continuous order book where traders buy and sell shares representing different outcomes. The price of each share reflects the probability of that outcome occurring, as determined by supply and demand. As more people buy shares in a particular outcome, its price increases, and vice versa. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust its predictions in real-time, offering a unique perspective on the event's potential results.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Dartmouth vs. Yale game, as reported by a trusted source. The market will then determine the winning shares and distribute payouts accordingly. Traders will have until the resolution time to adjust their positions based on any late-breaking news or developments related to the game.

Several signals could significantly move this market before resolution. Any news regarding key player injuries, changes in coaching strategies, or unexpected weather conditions could influence trader sentiment. Major upsets in other games involving these teams, or even significant shifts in public perception based on media coverage, could also lead to price fluctuations. Furthermore, large-volume trades by influential participants on Predict can quickly shift the odds, reflecting a change in collective belief about the game’s likely outcome.