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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East Carolina vs UAB: 1st Half Winner
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What is the result of East Carolina vs UAB?

Volume:
$86,992

East Carolina

 - Kalshi

East Carolina - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 15, 2026

Closed: Oct 15, 9:08 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

East Carolina

View
100%
Yes 100¢No 0¢
—
N/A
$56,287
N/A
N/A
$40,589
Settled
Yes
kalshi

UAB

0%
Yes 0¢No 100¢
—
N/A
$18,024
N/A
N/A
$13,138
Settled
No
kalshi

Tie

0%
8%
Yes 0¢No 100¢
—
N/A
$12,681
N/A
N/A
$11,732
Settled
No
Total markets: 3

Description

This market tracks which team will lead at halftime in an upcoming college football game between East Carolina and UAB. It focuses solely on the first half performance, ignoring the final outcome of the full game. The result depends on which team scores more points in the first two quarters of play.

Kalshi

If UAB wins the 1st half of the East Carolina vs UAB college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes. If East Carolina wins the 1st half of the East Carolina vs UAB college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes. If neither team wins the 1st half of the East Carolina vs UAB college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the East Carolina vs UAB game tracks the current odds for each possible outcome in the first half, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, currently at $86,969, and the total volume traded to date, which is $86,992. This allows you to gauge market sentiment and see how much activity there is surrounding this particular contest. The dashboard provides a real-time view of where traders are placing their bets on who will win the first half.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and information aggregation. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own analysis. As more information becomes available – such as injury reports or weather forecasts – the odds in this market can shift more rapidly than those offered by traditional sportsbooks. It’s common to see convergence as the event approaches, but discrepancies can still exist.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market's collective belief about the likelihood of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more traders believe an outcome is likely, the higher the price of its corresponding contract will be. Traders aim to profit by accurately predicting the outcome and trading contracts at favorable prices, creating a dynamic and efficient pricing mechanism. This process allows the market to reflect new information quickly.

This market resolves around Oct 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team in the first half of the East Carolina vs UAB game will determine the winning contract. The resolution will be based on the official result declared by the governing body of the game, ensuring a transparent and verifiable outcome. Traders will be able to see the final result reflected in their account balances shortly after the official announcement.

Several factors could significantly impact this market. Any news regarding key player injuries or suspensions for either East Carolina or UAB would likely cause shifts in the odds. Unexpected changes in weather conditions, particularly if they favor one team’s playing style, could also influence trading activity. Major coaching decisions or strategic adjustments announced before the game could also move the market. Finally, any significant public sentiment shifts – perhaps driven by expert analysis or social media trends – could impact the volume and pricing within this market.