TOTAL VOLUME:

$134b

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$103,397,351

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2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

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30,097

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MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

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39%

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Kalshi:

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Villanova vs LIU: 1st Half Winner
kalshi

What is the result of Villanova vs LIU?

Volume:
$7,922

Tie 1st Half

 - Kalshi

Tie 1st Half - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 19, 2026

Closed: Sep 19, 1:21 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

Tie 1st Half

View
100%
Yes 100¢No 0¢
100¢
N/A
$4,864
N/A
N/A
$4,852
Settled
Yes
kalshi

LIU wins 1st Half

0%
15%
Yes 0¢No 100¢
100¢
N/A
$2,357
N/A
N/A
$1,354
Settled
No
kalshi

Villanova wins 1st Half

0%
25%
Yes 0¢No 100¢
100¢
N/A
$701
N/A
N/A
$689
Settled
No
Total markets: 3

Description

This market tracks the outcome of the first half of a college football game between Villanova and LIU, scheduled for September 19, 2026. It focuses solely on which team leads at halftime, or if the half ends in a tie, without considering the full-game result.

Kalshi

If LIU wins the 1st half of the Villanova vs LIU college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If Villanova wins the 1st half of the Villanova vs LIU college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Villanova vs LIU college football game originally scheduled for Sep 19, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Villanova vs LIU first half market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $6,915 and the total volume traded is $7,922. You can see how the price of a 'yes' outcome has fluctuated over time, providing insight into how traders are assessing the likelihood of Villanova winning the first half. This allows you to monitor market sentiment and potentially identify trading opportunities related to this specific matchup.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks often set initial lines to balance action, while this market’s price is driven purely by individuals willing to buy or sell based on their own analysis. If a significant discrepancy exists, arbitrage opportunities may arise, where traders can profit by simultaneously betting on both the prediction market and a sportsbook. However, it’s important to remember that these represent different types of forecasts and have different associated costs.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing the probability of Villanova winning the first half. The price of a contract ranges from 0 to 100, representing a 0% to 100% probability. As more people buy contracts, the price increases, indicating greater confidence in that outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price reflects the collective belief of all participants, and changes in volume and trading activity can significantly impact the price.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will reflect which team—Villanova or LIU—has the higher score at the end of the first half of the game. The result will be determined by the official game statistics, readily available from sports news outlets and official league sources. The platform will then verify the result and settle all outstanding contracts accordingly.

Several factors could influence the price of this market. Any news regarding player injuries, changes in team lineups, or even weather conditions could shift trader sentiment. Unexpected announcements about coaching strategies or team performance during warm-ups might also cause price fluctuations. Furthermore, large volume trades from influential traders can create short-term price movements. Monitoring these signals and staying informed about the teams involved is crucial for understanding potential shifts in this market.