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410,833

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UCF vs Oklahoma St.: 2nd Half Spread
kalshi

What is the result of UCF vs Oklahoma St.?

Volume:
$77,033

Oklahoma St. wins by over 6.5 points

 - Kalshi

Oklahoma St. wins by over 6.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:37 PM EST

kalshi

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

Oklahoma St. wins by over 6.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$12,829
N/A
N/A
$12,023
Settled
Yes
kalshi

Oklahoma St. wins by over 4.5 points

100%
50%
Yes 100¢No 0¢
—
N/A
$10,773
N/A
N/A
$8,141
Settled
Yes
kalshi

Oklahoma St. wins by over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$5,203
N/A
N/A
$4,452
Settled
Yes
kalshi

Oklahoma St. wins by over 2.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,916
N/A
N/A
$2,431
Settled
Yes
kalshi

Oklahoma St. wins by over 3.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,834
N/A
N/A
$2,687
Settled
Yes
kalshi

Oklahoma St. wins by over 10.5 points

100%
Yes 100¢No 0¢
—
N/A
$2,366
N/A
N/A
$1,936
Settled
Yes
kalshi

Oklahoma St. wins by over 7.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,940
N/A
N/A
$1,899
Settled
Yes
kalshi

Oklahoma St. wins by over 9.5 points

100%
Yes 100¢No 0¢
—
N/A
$1,513
N/A
N/A
$1,497
Settled
Yes
kalshi

Oklahoma St. wins by over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$8,130
N/A
N/A
$7,410
Settled
No
kalshi

Oklahoma St. wins by over 17.5 points

0%
Yes 0¢No 100¢
—
N/A
$7,221
N/A
N/A
$7,141
Settled
No
kalshi

Oklahoma St. wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$4,216
N/A
N/A
$3,143
Settled
No
kalshi

Oklahoma St. wins by over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$3,822
N/A
N/A
$2,909
Settled
No
kalshi

UCF wins by over 6.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,585
N/A
N/A
$2,585
Settled
No
kalshi

UCF wins by over 2.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,478
N/A
N/A
$1,412
Settled
No
kalshi

UCF wins by over 13.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,701
N/A
N/A
$1,137
Settled
No
kalshi

UCF wins by over 14.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,222
N/A
N/A
$748
Settled
No
kalshi

UCF wins by over 7.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,195
N/A
N/A
$942
Settled
No
kalshi

UCF wins by over 10.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,152
N/A
N/A
$1,140
Settled
No
kalshi

UCF wins by over 3.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,085
N/A
N/A
$937
Settled
No
kalshi

UCF wins by over 4.5 points

0%
Yes 0¢No 100¢
—
N/A
$987
N/A
N/A
$673
Settled
No
kalshi

UCF wins by over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$864
N/A
N/A
$863
Settled
No
Total markets: 21

Description

These markets focus on predicting the outcome of a college football game between UCF and Oklahoma State, specifically analyzing how much one team might win by in the second half of play. Each market represents a different point margin threshold that must be exceeded for the outcome to be considered valid.

Kalshi

All markets resolve based on the point differential in the second half (including overtime) of the UCF vs Oklahoma State college football game scheduled for October 10, 2026. Markets are structured with varying thresholds for Oklahoma State or UCF to win by more than a specified number of points. If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve based on the final result. If the game does not start within 48 hours, markets resolve to a fair price. Only points scored in the second half count toward resolution, and Kalshi disclaims any affiliation with the NCAA.

Frequently asked questions

On Kalshi, this dashboard tracks the odds for the UCF vs Oklahoma State spread, displaying the price history and 24-hour trading volume. Currently, the total volume for this market is $77,033, with $56,872 traded in the last 24 hours. You can see how the market is moving and gauge the collective prediction of traders on Kalshi regarding the final point differential in the second half of the game. This allows you to assess the perceived probability of different outcomes.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals buying and selling contracts based on their own predictions. It’s common to see discrepancies, especially as new information emerges or public sentiment shifts. Examining these differences can reveal insights into where the crowd believes the value lies compared to professional oddsmakers, and how that impacts this market.

On Kalshi, the price of contracts for the UCF vs Oklahoma State spread is determined by the forces of supply and demand. Traders actively bid and ask on contracts representing different outcomes, and the resulting price reflects the market’s collective assessment of the probability of each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Essentially, if many traders believe Oklahoma State will cover the spread, the price of contracts predicting that outcome will rise, indicating a higher perceived likelihood. This creates a dynamic and responsive market for forecasting the game's result.

This market resolves around Oct 10, 2026, and the outcome will be determined by the official point spread of the second half of the UCF vs Oklahoma State football game. The final score difference, as reported by official sources, will dictate whether contracts predicting Oklahoma State winning by over 13.5 points settle positively or negatively. The resolution will be based on publicly available and verifiable game data, ensuring a clear and objective outcome for this market.

Several factors could influence trading activity in this market before Oct 10, 2026. Key injuries to star players on either the UCF or Oklahoma State teams would likely cause significant movement. Changes in weather conditions, especially if they favor one team's playing style, could also impact the spread. Unexpected news regarding team morale or coaching decisions could also shift trader sentiment. Finally, any significant line movements in traditional sportsbooks might prompt traders to reassess their positions in this market.