TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Hampton vs Towson: 1st Half Winner
kalshi

What is the result of Hampton vs Towson?

Volume:
$3,241

Towson

 - Kalshi

Towson - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 31, 4:38 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

Towson

View
100%
Yes 100¢No 0¢
—
N/A
$2,153
N/A
N/A
$2,153
Settled
Yes
kalshi

Hampton

0%
Yes 0¢No 100¢
—
N/A
$788
N/A
N/A
$687
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$301
N/A
N/A
$301
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the first half in an upcoming college football game between Hampton and Towson. It focuses solely on the performance during the initial 30 minutes of play, ignoring the final outcome of the full game. The result depends on whether Hampton, Towson, or neither team (in case of a tie) holds the advantage at halftime.

Kalshi

If Towson wins the 1st half of the Hampton vs Towson college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If Hampton wins the 1st half of the Hampton vs Towson college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes. If neither team wins the 1st half of the Hampton vs Towson college football game originally scheduled for Oct 31, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Hampton vs Towson 1st half market provides real-time data on the current price, price history, and 24-hour trading volume. You can see how the perceived probability of each outcome is changing as traders buy and sell contracts. Currently, the total volume for this market is $3,241, with $3,241 traded in the last 24 hours. This allows you to gauge market sentiment and track activity related to who will win the first half of the Hampton versus Towson game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from initial sportsbook lines. Sportsbooks often set opening lines to attract action, while this market’s prices are driven by actual trading activity. As more information becomes available – such as injury reports or weather forecasts – and as the event approaches, this market may converge with sportsbook odds, or it may diverge if traders have a different assessment of the likely outcome. It’s common to see discrepancies, especially early in the market’s life, as prediction markets tend to be more efficient at incorporating new information.

On Kalshi, this market is priced through a continuous double auction, meaning traders are constantly posting buy and sell offers for contracts representing each possible outcome. The price of a contract reflects the market’s probability of that outcome occurring; a higher price indicates a greater perceived chance of success. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price movements are driven by supply and demand, with traders adjusting their positions based on their own analysis and expectations for the Hampton versus Towson game. This dynamic pricing mechanism allows the market to quickly adapt to new information.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the first half of the Hampton versus Towson game. Official game statistics will be used to determine the winner, ensuring a transparent and objective outcome. Traders will then be able to claim their winnings or adjust their strategies for future markets based on the verified result.

Several factors could significantly impact this market. Any news regarding key player injuries for either Hampton or Towson would likely cause price fluctuations. Changes in team performance leading up to the game, such as unexpected wins or losses, could also shift market sentiment. Weather conditions on game day, particularly if they favor one team’s playing style, could also be a catalyst. Finally, any major news or events affecting team morale or coaching decisions could influence trading activity and move the price of contracts in this market.