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

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MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

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Ole Miss vs Texas: 2nd Quarter Winner
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What is the result of Ole Miss vs Texas?

Volume:
$15,255

Texas

 - Kalshi

Texas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 9:31 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

Texas

View
100%
Yes 100¢No 0¢
—
N/A
$8,366
N/A
N/A
$7,648
Settled
Yes
kalshi

Ole Miss

0%
43%
Yes 0¢No 100¢
—
N/A
$3,570
N/A
N/A
$3,336
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$3,319
N/A
N/A
$3,212
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of an upcoming college football game between Ole Miss and Texas. It provides a way to speculate on short-term in-game performance rather than the overall result. The outcome depends solely on the scoring during that specific 15-minute segment of play.

Kalshi

If Texas wins the 2nd quarter of the Ole Miss vs Texas college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Ole Miss wins the 2nd quarter of the Ole Miss vs Texas college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Ole Miss vs Texas college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Ole Miss vs Texas game tracks the current odds for each possible outcome in the 2nd quarter, along with a price history chart showing how those odds have changed over time. You’ll also find the 24-hour trading volume, currently at $13,243, and the total volume traded to date, which is $15,255. This allows you to see how much activity there is and gauge market sentiment regarding who will win the second quarter of the game. The dashboard provides a real-time view of where traders are placing their bets.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set their odds based on statistical models and expert analysis, while this market incorporates the collective predictions of many individuals. As more information becomes available – such as injury reports or weather forecasts – and as the event draws nearer, the odds on Kalshi may converge with or diverge from sportsbook odds. It’s common to see prediction markets outperform traditional bookmakers in accuracy, especially when a significant amount of volume is traded.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, which team will win the second quarter. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices adjust dynamically, creating a real-time assessment of the likely winner. The more a particular outcome is bought, the higher its price becomes, indicating increased confidence in that result.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the second quarter of the Ole Miss vs Texas game will determine the outcome. The official game results, as reported by a trusted sports data source, will be used to determine the winning contract. Traders who held contracts for the winning team will receive a payout, while those holding contracts for the losing team will forfeit their investment. The resolution process is designed to be transparent and based on objectively verifiable data.

Several factors could significantly influence this market. Any news regarding key player injuries for either Ole Miss or Texas would likely cause shifts in the odds. Unexpected changes in weather conditions, such as heavy rain or strong winds, could also impact the perceived likelihood of each team winning. Major coaching decisions or strategic adjustments announced before the game could also move the market. Finally, significant betting activity – a large influx of volume on one particular outcome – could also drive price changes as traders react to the collective sentiment.