TOTAL VOLUME:

$154.2b

24H VOL:

$203,036,808

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,857,846,526

408,774

Markets across

40,345

events

MATCHED EVENTS:

4,373

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Fordham vs. Lehigh
polymarket

What is the result of Fordham vs. Lehigh?

Volume:
$18,263

Spread -1.5

 - Polymarket

Spread -1.5 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 3, 2026

Closed: Oct 3, 3:19 PM EST

polymarket

Polymarket

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

Spread -1.5

View
100%
7%
Yes 100¢No 0.1¢
—
N/A
$16,495
N/A
N/A
N/A
Settled
Yes
polymarket

Fordham vs. Lehigh

0%
6%
Yes 0.1¢No 100¢
—
N/A
$1,387
N/A
N/A
N/A
Settled
No
polymarket

O/U 57.5

0%
38%
Yes 0.1¢No 100¢
—
N/A
$205
N/A
N/A
N/A
Settled
No
polymarket

O/U 49.5

0%
48%
Yes 0.1¢No 100¢
—
N/A
$153
N/A
N/A
N/A
Settled
No
polymarket

Spread -14.5

0%
99%
Yes 0.1¢No 100¢
—
N/A
$8
N/A
N/A
N/A
Settled
No
polymarket

O/U 51.5

0%
97%
Yes 0.1¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
No
polymarket

O/U 55.5

0%
97%
Yes 0.1¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
No
polymarket

O/U 59.5

0%
97%
Yes 0.1¢No 100¢
—
N/A
$5
N/A
N/A
N/A
Settled
No
polymarket

Spread -10.5

0%
99%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -7.5

0%
99%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -5.5

0%
98%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -3.5

0%
98%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -1.5

0%
25%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Spread -3.5

100%
6%
Yes 100¢No 1¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -5.5

100%
13%
Yes 100¢No 0.1¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -7.5

100%
2%
Yes 100¢No 1¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -10.5

100%
Yes 100¢No 1¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -14.5

100%
Yes 100¢No 1¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 53.5

95%
2%
Yes 94.9¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

O/U 61.5

0%
97%
Yes 0.1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

2H Moneyline

0%
99%
Yes 1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

1H Moneyline

0%
Yes 0.1¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 22

Description

In the upcoming college football game between Fordham and Lehigh, scheduled for October 3 at 12:00PM ET: This market will resolve to "Fordham" if Fordham win the game. This market will resolve to "Lehigh" if Lehigh 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 Fordham and Lehigh, scheduled for October 3 at 12:00PM ET: This market will resolve to "Fordham" if Fordham win the game. This market will resolve to "Lehigh" if Lehigh 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 Fordham vs. Lehigh game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, as well as the total volume traded in this market. Currently, the 24-hour volume is $17,537 and the total volume is $18,263. This provides a clear view of market activity and sentiment regarding the outcome of the game. The dashboard is updated in real-time to reflect the latest trading activity.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on statistical models and expert analysis, while this market's odds are driven by actual money being wagered. It’s common to see discrepancies between the two, particularly before a significant amount of trading occurs. These differences can arise from varying levels of information, biases, or simply differing interpretations of the same data. Examining both can provide a more comprehensive view of the expected outcome.

On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing different outcomes of the Fordham vs. Lehigh game, and the price of each share reflects the market's current expectation of that outcome's probability. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price fluctuates based on supply and demand; if more people buy shares of a particular outcome, its price increases, and vice versa. This dynamic pricing ensures that the market odds are constantly updated to reflect the latest information and sentiment.

This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official result of the Fordham vs. Lehigh game, as reported by a recognized sports authority. The platform will then verify the outcome against these sources to determine which shares will pay out. Traders will be able to claim their winnings once the resolution is finalized and the outcome is officially confirmed. This ensures a transparent and reliable resolution process.

Several factors could influence the price of shares in this market before the game is played. Any significant news regarding team injuries, changes in coaching staff, or unexpected weather conditions could all impact the perceived likelihood of either team winning. Public sentiment, as reflected in media coverage and social media, can also play a role. Furthermore, large trades by influential market participants could create short-term price movements. Monitoring these signals can help traders assess potential opportunities and adjust their positions accordingly.