TOTAL VOLUME:

$154.1b

24H VOL:

$172,394,893

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,821,572,886

404,136

Markets across

40,075

events

MATCHED EVENTS:

4,369

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Cornell vs Georgetown
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What is the result of Cornell vs Georgetown?

Volume:
$58,911

Cornell

 - Kalshi

Cornell - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 5:32 PM EST

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Kalshi

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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%
27%
Yes 100¢No 0¢
—
N/A
$31,637
N/A
N/A
$19,260
Settled
Yes
kalshi

Georgetown

0%
29%
Yes 0¢No 100¢
—
N/A
$27,274
N/A
N/A
$18,122
Settled
No
Total markets: 2

Description

This market tracks the outcome of a college football game between Cornell and Georgetown scheduled for October 3, 2026. The market resolves based on which team wins the game. If the game is postponed but starts within 48 hours of the original time, the result still counts.

Kalshi

The market resolves to Yes for the respective team if that team wins the Cornell vs Georgetown college football game originally scheduled for October 3, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market remains open and resolves based on the official final result. If the game is cancelled or does not start within 48 hours of its originally scheduled start time, the market resolves to a fair price. Kalshi is not affiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Cornell vs Georgetown game tracks the current odds, price history, and 24-hour trading volume. Currently, the volume is $56,662 with a total volume of $58,911. The dashboard provides a visual representation of how traders are pricing the likelihood of different outcomes in this market. It’s a dynamic view of sentiment, reflecting the collective predictions of participants as they buy and sell contracts related to the game’s result. This allows you to see how opinions shift over time and identify potential trading opportunities.

Prediction market odds often differ from traditional sportsbook odds due to the nature of how each is determined. Sportsbooks set lines based on statistical models and attempt to balance action on both sides, while this market reflects the collective wisdom of traders who are incentivized to accurately predict the outcome. This can lead to prediction markets being more accurate, especially as the event approaches and more information becomes available. Discrepancies can also arise from differing levels of expertise and information available to participants in each venue. It’s common to see this market adjust more rapidly to new information than traditional betting lines.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final official result of the Cornell vs Georgetown game. The platform will verify the result against widely available and trusted sources to determine the winning outcome. Traders who correctly predicted the result will receive a payout based on the final market price at resolution. It’s important to monitor the event closely as the resolution date approaches to understand how the outcome will be determined.

Several signals or events could significantly move this market before it resolves. Any news regarding key player injuries, changes in coaching strategies, or unexpected team performance in preceding games could influence trader sentiment. Major shifts in public opinion, as reflected in sports news and analysis, can also impact the market. Unexpected weather conditions that might affect gameplay are another potential catalyst. Furthermore, large trading volume from informed participants could indicate new information or a change in expectations, causing the market to react quickly. Monitoring these factors will be crucial for understanding potential price movements.