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UCF vs Oklahoma St.: First Team to Score a TD
kalshi

What is the result of UCF vs Oklahoma St.?

Volume:
$11,422

UCF

 - Kalshi

UCF - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 12:17 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

UCF

View
100%
69%
Yes 100¢No 0¢
—
N/A
$3,042
N/A
N/A
$2,720
Settled
Yes
kalshi

Oklahoma St.

View
0%
64%
Yes 0¢No 100¢
—
N/A
$7,768
N/A
N/A
$7,491
Settled
No
kalshi

No team

View
0%
1%
Yes 0¢No 100¢
—
N/A
$611
N/A
N/A
$611
Settled
No
Total markets: 3

Description

This event tracks which team will score the first touchdown in an upcoming college football game. It includes scenarios where either team scores first or if no team manages to score a touchdown at all during the game, including any overtime periods. The outcome depends purely on the game's live progression and scoring events.

Kalshi

The event determines whether UCF, Oklahoma State, or neither team scores the first touchdown in their college football game scheduled for October 10, 2026. All touchdowns—including offensive, defensive, and special teams plays—are counted, even if they occur in overtime. If the game is postponed but starts within 48 hours of the original time, the result still applies. If the game does not start within that window, the market resolves to a fair price. Kalshi clarifies it has no official connection with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the UCF vs Oklahoma State first TD market displays the current prices for each team to score the first touchdown. It also provides a price history chart, allowing you to see how the odds have shifted over time. You’ll find the total volume traded in this market, currently at $11,422, and the 24-hour volume, which is $8,919. This information helps traders understand market sentiment and potential trading opportunities related to which team will reach the endzone first.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on team rankings and expert analysis, but may be influenced by factors like public betting biases. This market, driven by traders actively buying and selling contracts, tends to incorporate a wider range of information and can often be more accurate in predicting the outcome. Discrepancies can arise due to differing risk assessments and the incentives of participants in each venue.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each team scoring the first touchdown. The price of a contract reflects the market's collective belief about that outcome. 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 becomes available, the prices adjust dynamically, providing a real-time assessment of the likelihood of each team scoring first. The current market depth and order flow are visible on the dashboard, offering insights into trading activity.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team officially scores the first touchdown in the UCF vs Oklahoma State game, as determined by official game statistics. The official game results will serve as the source for determining the winning contract in this market. Traders should monitor official sources for the final game results to understand the resolution process.

Several factors could influence the price movement of this market. News regarding key player injuries for either UCF or Oklahoma State would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to one team's offensive style, could also shift the odds. Late-breaking reports about team strategy or coaching decisions might also cause traders to reassess probabilities. Finally, any significant public betting activity in traditional sportsbooks could influence trading behavior in this market as well.