TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

Markets across

40,411

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Lehigh vs. Cornell
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What is the result of Lehigh vs. Cornell?

Volume:
$39,899

Lehigh vs. Cornell

 - Polymarket

Lehigh vs. Cornell - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 5:44 PM EST

polymarket

Polymarket

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

Lehigh vs. Cornell

View
0%
80%
Yes 0¢No 100¢
—
N/A
$39,888
N/A
N/A
N/A
Settled
No
polymarket

Spread -10.5

0%
99%
Yes 0¢No 100¢
—
N/A
$11
N/A
N/A
N/A
Settled
No
polymarket

Spread -14.5

0%
98%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -7.5

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -5.5

0%
77%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -3.5

0%
98%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -1.5

0%
83%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -1.5

100%
2%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -3.5

100%
2%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

100%
2%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

100%
2%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

0%
4%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -14.5

0%
98%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

O/U 49.5

100%
24%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 51.5

100%
26%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 53.5

100%
26%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 55.5

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 57.5

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 59.5

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 61.5

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

2H Moneyline

100%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
Total markets: 21

Description

In the upcoming college football game between Lehigh and Cornell, scheduled for October 17 at 2:00PM ET: This market will resolve to "Lehigh" if Lehigh 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.

Polymarket

In the upcoming college football game between Lehigh and Cornell, scheduled for October 17 at 2:00PM ET: This market will resolve to "Lehigh" if Lehigh 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 Polymarket, the dashboard for the Lehigh-Cornell matchup tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how traders are pricing the likelihood of different outcomes in this contest. The current volume is $37,362, and the total volume traded to date is $39,899. This allows you to quickly assess market sentiment and identify potential trading opportunities related to this specific college basketball game. The dashboard updates in real-time, reflecting the latest activity on Polymarket.

Typically, prediction market odds reflect the wisdom of the crowd, often incorporating information and analysis beyond what's readily available to traditional sportsbooks. While sportsbooks set initial lines based on team statistics and expert opinions, this market allows anyone to trade on their own assessment of the Lehigh-Cornell matchup. As a result, you may observe differences between the implied probabilities on Polymarket and those offered by sportsbooks, particularly as new information emerges or public sentiment shifts. These differences can present opportunities for arbitrage or informed betting.

On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing different outcomes of the Lehigh-Cornell matchup, and the price of each share reflects the market's collective belief about the probability of that outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders who believe an outcome is likely, the higher the price of its corresponding shares will rise. This dynamic pricing ensures that the market odds are constantly adjusting to reflect the latest information and sentiment. The current price movements indicate how traders are interpreting available data regarding team performance and potential game dynamics.

This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final result of the Lehigh-Cornell matchup, as officially reported by a recognized sports authority. The platform will verify the results against these sources to determine which outcome corresponds to the actual game result. Traders who held shares in the winning outcome will be entitled to a payout, while those holding shares in losing outcomes will forfeit their investment. The exact payout amount will depend on the final market prices at the time of resolution.

Several signals or events could significantly move this market before Oct 17, 2026. Any news regarding key player injuries or suspensions for either Lehigh or Cornell would likely cause a shift in the odds. Major changes in team performance, such as a surprising win or loss in a preceding game, could also influence trader sentiment. Publicly released statistical analysis highlighting a significant advantage for one team over the other could also impact trading activity. Furthermore, any significant media coverage or expert predictions regarding the Lehigh-Cornell matchup could contribute to price fluctuations.