TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA
Dashboards
Tour
All
Sports
William & Mary vs Lehigh: Spread
kalshi

What is the result of William & Mary vs Lehigh?

Volume:
$22,180

Lehigh wins by over 10.5 points

 - Kalshi

Lehigh wins by over 10.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 8:40 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Lehigh wins by over 10.5 points

View
100%
42%
Yes 100¢No 0¢
100¢
N/A
$10,885
N/A
N/A
$10,604
Settled
Yes
kalshi

Lehigh wins by over 14.5 points

100%
56%
Yes 100¢No 0¢
100¢
N/A
$4,939
N/A
N/A
$4,870
Settled
Yes
kalshi

Lehigh wins by over 6.5 points

100%
35%
Yes 100¢No 0¢
100¢
N/A
$920
N/A
N/A
$920
Settled
Yes
kalshi

Lehigh wins by over 2.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$833
N/A
N/A
$833
Settled
Yes
kalshi

Lehigh wins by over 18.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$666
N/A
N/A
$666
Settled
Yes
kalshi

Lehigh wins by over 22.5 points

100%
Yes 100¢No 0¢
100¢
N/A
$632
N/A
N/A
$632
Settled
Yes
kalshi

Lehigh wins by over 34.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$671
N/A
N/A
$585
Settled
No
kalshi

Lehigh wins by over 26.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$496
N/A
N/A
$457
Settled
No
kalshi

William & Mary wins by over 13.5 points

0%
9%
Yes 0¢No 100¢
100¢
N/A
$485
N/A
N/A
$482
Settled
No
kalshi

William & Mary wins by over 1.5 points

0%
20%
Yes 0¢No 100¢
100¢
N/A
$480
N/A
N/A
$477
Settled
No
kalshi

William & Mary wins by over 5.5 points

0%
20%
Yes 0¢No 100¢
100¢
N/A
$447
N/A
N/A
$445
Settled
No
kalshi

Lehigh wins by over 30.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$411
N/A
N/A
$390
Settled
No
kalshi

William & Mary wins by over 9.5 points

0%
Yes 0¢No 100¢
100¢
N/A
$315
N/A
N/A
$315
Settled
No
Total markets: 13

Description

These markets track various point-spread outcomes for an upcoming college football game, allowing participants to speculate on the margin of victory. Each market corresponds to a different threshold of points by which either team might win. The resolution depends entirely on the official game result, with specific provisions for postponements.

Kalshi

All markets resolve based on the official point differential from the William & Mary vs Lehigh college football game scheduled for September 12, 2026. For markets predicting Lehigh victories, resolution occurs if Lehigh’s winning margin exceeds specified thresholds ranging from 2.5 to 34.5 points. Conversely, markets predicting William & Mary victories resolve if their margin surpasses thresholds from 1.5 to 13.5 points. If the game is postponed but commences within 48 hours of its original time, all markets remain active and resolve according to the final result. Should the game fail to start within this window, all markets settle at a fair price, ensuring equitable treatment for all participants regardless of the specific outcome thresholds.

Frequently asked questions

On Kalshi, the dashboard for the William & Mary vs Lehigh spread tracks the current price of the spread, the 24-hour trading volume of $17,695, and the total volume traded to date, which is currently $22,180. You can also view a price history chart to see how the market has moved over time. This allows you to analyze trader sentiment and potential shifts in expectations regarding the game's outcome. The dashboard provides a real-time view of where traders stand on the likely point differential.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market is driven by individuals willing to put their capital behind their beliefs. If a significant discrepancy exists between this market and sportsbook lines, it could indicate differing opinions on the likely outcome or potential biases in either the market or the sportsbook’s initial assessment. It’s common to see convergence as the event approaches, but divergences can present opportunities for informed traders.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their belief about the William & Mary vs Lehigh spread. The price of a contract reflects the probability of that spread occurring. As more traders participate, the price adjusts to reflect the collective expectation. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing means the market is constantly updating based on new information and changing sentiment, offering a real-time assessment of the game’s potential outcome. The current price indicates what traders are willing to pay for exposure to a specific spread.

This market resolves around Sep 12, 2026, with the outcome confirmed once the final point spread of the William & Mary vs Lehigh game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Traders who correctly predicted the spread will receive a payout based on the final price of their contracts at the time of resolution, while those who predicted incorrectly will forfeit their investment. The market’s outcome is determined solely by the official game result.

Several factors could influence the price of this market before Sep 12, 2026. News regarding key player injuries on either the William & Mary or Lehigh teams would likely cause significant movement. Changes in weather forecasts, particularly if severe weather is expected, could also impact the spread. Significant shifts in public perception, perhaps driven by expert analysis or media coverage, might also affect trader sentiment. Finally, any late-breaking news related to team dynamics or coaching decisions could contribute to price fluctuations in this market.