TOTAL VOLUME:

$134.2b

24H VOL:

$126,590,312

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,439,516,703

404,175

Markets across

30,277

events

MATCHED EVENTS:

2,685

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Oklahoma St. vs Tulsa: 1st Quarter Winner
kalshi

What is the result of Oklahoma St. vs Tulsa?

Volume:
$2,909

Tulsa wins 1st Quarter

 - Kalshi

Tulsa wins 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 5, 2026

Closed: Sep 5, 4:35 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

Tulsa wins 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,057
N/A
N/A
$1,052
Settled
Yes
kalshi

Oklahoma St. wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,184
N/A
N/A
$910
Settled
No
kalshi

Tie 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$668
N/A
N/A
$668
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between Oklahoma State and Tulsa. It reflects the competitive momentum and scoring efficiency of each team in the early stages of the match, providing insight into how the game might unfold before halftime.

Kalshi

If Tulsa wins the 1st quarter of the Oklahoma St. vs Tulsa college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If Oklahoma St. wins the 1st quarter of the Oklahoma St. vs Tulsa college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the Oklahoma St. vs Tulsa college football game originally scheduled for Sep 5, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Oklahoma St vs Tulsa game tracks the current odds for each possible outcome in 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 $2,909, and the total volume traded to date, which is $2,909. This provides a snapshot of market activity and sentiment surrounding the first quarter winner of this college football matchup. The dashboard is updated continuously as traders buy and sell contracts.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own analysis and aim to balance action on both sides, while this market allows anyone to trade based on their own beliefs. If a significant number of people believe one team will win, the odds will shift accordingly, potentially diverging from initial sportsbook lines. It's common to see prediction markets more accurately forecast probabilities, especially as more information becomes available leading up to the event.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing each possible outcome. The price of a 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. Traders set the odds by placing bids and asks, and the market price fluctuates based on supply and demand. A higher price indicates a lower probability, while a lower price suggests a higher probability. The current market price is a real-time assessment of the likelihood of each team winning the first quarter.

This market resolves around Sep 5, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winner of the first quarter of the Oklahoma St vs Tulsa game will determine the winning contract. The resolution will be based on the official game results as reported by a trusted sports data source. Traders who correctly predicted the first quarter winner will receive a payout based on the contract price at the time of resolution. The market will then close, and all contracts will be settled.

Several factors could influence the price of this market before the game begins. Any news regarding key player injuries or suspensions for either Oklahoma St or Tulsa would likely cause significant movement. Changes in weather forecasts, particularly if they are expected to impact the game, could also shift the odds. Additionally, late-breaking news about team strategies or coaching decisions could affect trader sentiment. Public perception, as reflected in polls or expert analysis, can also play a role, though this market reflects individual trader beliefs rather than relying solely on external opinions.