TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Georgetown vs William & Mary: 1st Half Winner
kalshi

What is the result of Georgetown vs William & Mary?

Volume:
$5,576

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 7:45 PM EST

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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

View
100%
Yes 100¢No 0¢
—
N/A
$3,283
N/A
N/A
$3,026
Settled
Yes
kalshi

Georgetown

0%
Yes 0¢No 100¢
—
N/A
$1,836
N/A
N/A
$1,835
Settled
No
kalshi

William & Mary

0%
Yes 0¢No 100¢
—
N/A
$457
N/A
N/A
$454
Settled
No
Total markets: 3

Description

An early game segment in a college football contest will have both teams focused on scoring and setting a strong pace for the first half.

Kalshi

The market resolves based on which team leads at halftime of the specified college football game. If the game is postponed but starts within 48 hours of the original time, it remains active; otherwise, it settles at a fair price. Points scored only in the first half count toward the outcome.

Frequently asked questions

On Kalshi, the dashboard for the Georgetown vs William & Mary 1st half market provides a real-time view of how traders are pricing the probability of each team winning the first half. You’ll find the current odds, a price history chart showing how those odds have changed over time, and the 24-hour trading volume, which is currently $5,576. The total volume traded on this market is $5,576. This allows you to gauge market sentiment and see how it evolves as new information becomes available before the game.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, and can sometimes differ from those offered by traditional sportsbooks. Sportsbooks set their lines based on models and risk assessment, while this market is driven by individuals willing to put their capital behind their beliefs. It’s common to see prediction markets move faster to incorporate new information, such as injury reports or weather conditions, than sportsbook odds. This can lead to discrepancies, but also opportunities for informed traders to find value.

On Kalshi, this market is priced through a continuous double auction, meaning traders can buy and sell contracts representing their belief about the outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. As more people buy contracts for a particular team, the price increases, reflecting a higher perceived chance of victory. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth, or the number of buy and sell orders at different price points, indicates how much conviction traders have in their predictions. This dynamic pricing mechanism allows the market to efficiently aggregate information and provide a real-time assessment of the likely winner.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the first half winner of the Georgetown vs William & Mary game will determine the result. The official result, as reported by a trusted sports data source, will be used to settle the market. Traders who held contracts for the winning team will receive a payout, while those who bet against them will forfeit their stake. The resolution process is designed to be transparent and objective.

Several factors could influence the price movement of this market. Any news regarding player injuries, particularly to key players for either Georgetown or William & Mary, would likely have a significant impact. Changes in weather conditions, such as heavy rain or strong winds, could also shift expectations. Unexpected announcements about coaching strategies or team lineups could also cause the market to react. Finally, even public sentiment and betting patterns observed elsewhere can influence trading activity on Kalshi, leading to price adjustments.