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24H VOL:

$279,496,801

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2,984,640,614

OPEN INTEREST:

$1,923,931,766

416,910

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40,107

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4,571

PLATFORM COVERAGE:

5

Polymarket:

37%

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Texas vs Oklahoma: 1st Quarter Winner
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What is the result of Texas vs Oklahoma?

Volume:
$48,612

Texas

 - Kalshi

Texas - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 4:34 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

Texas

View
100%
51%
Yes 100¢No 0¢
—
N/A
$31,839
N/A
N/A
$24,987
Settled
Yes
kalshi

Oklahoma

0%
Yes 0¢No 100¢
—
N/A
$11,520
N/A
N/A
$8,081
Settled
No
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Tie

0%
23%
Yes 0¢No 100¢
—
N/A
$5,254
N/A
N/A
$4,595
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Texas and Oklahoma. It focuses solely on the scoring dynamics of the opening 15 minutes, ignoring the rest of the game's outcome. Bettors can speculate on early-game performance and momentum.

Kalshi

If Oklahoma wins the 1st quarter of the Texas vs Oklahoma college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If Texas wins the 1st quarter of the Texas vs Oklahoma college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Texas vs Oklahoma college football game originally scheduled for Oct 10, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Red River Rivalry 1st Quarter tracks the current odds for each team to win the first quarter, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $44,143, and the total volume traded to date, which is $48,612. This allows you to gauge market sentiment and activity surrounding this exciting college football matchup. The dashboard provides a real-time view of where traders are placing their bets.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows traders to freely adjust probabilities based on their own analysis and information. You may find that this market’s implied probabilities align with expert analysis and polling data, or diverge based on unique insights held by traders. It's common to see differences emerge as new information becomes available, especially leading up to the game.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of each outcome – in this case, either team winning the first quarter. The price of each contract fluctuates based on supply and demand, effectively creating a real-time probability assessment. 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 surfaces, the prices adjust to reflect the collective belief about which team is most likely to emerge victorious in the opening period of the Red River Rivalry.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team wins the first quarter of the Texas vs. Oklahoma game will determine the winning contract. The resolution will be based on the official game statistics and scorekeeping, ensuring a transparent and accurate outcome. Traders will then be able to claim their winnings or fulfill their obligations based on the final result.

Several factors could significantly influence this market. Any news regarding key player injuries for either Texas or Oklahoma would likely cause price movement. Changes in weather forecasts, particularly if they suggest adverse conditions affecting the passing or running game, could also shift probabilities. Furthermore, late-breaking news about team strategies or coaching decisions, as well as public sentiment shifts reflected in polls or expert analysis, could all contribute to volatility in this market leading up to the game. Unexpected developments could quickly alter trader perceptions.