🏆
Sports OPEN

Oklahoma St. at UCF

📊 $20K traded 🏦 Source: Kalshi
Total Volume
$20K
Open Interest
19,920
Active Markets
2
Markets
2

Trade This Market

Yes Bid
Yes Ask
Last Price
Prev Close
Buy YES → Buy NO

Prices in cents (1¢ = 1%). Trade on Kalshi.

All Outcomes (2)
Outcome Probability Yes Bid Yes Ask 24h Change Volume
UCF 80%
79¢ 80¢ $14K Trade →
Oklahoma St. 21%
20¢ 21¢ $6K Trade →

About This Market

This market asks which team will win the college football game Oklahoma St. at UCF and aggregates trader views into a continuously updated price. It matters because market prices provide a single, real‑time summary of how many traders favor one side over the other.

Oklahoma State and UCF are Division I FBS programs whose matchup outcomes depend on season form, coaching matchups, and roster availability. Traders typically consider recent results, injury reports, and situational factors (home field, travel) rather than distant historical results when valuing this game.

Market prices represent the consensus expectation of traders and shift as new information arrives; interpret them as a snapshot of collective belief rather than a fixed forecast. Prices can move quickly on roster news, weather, or other game‑specific developments.

Key Factors

Frequently Asked Questions

When will the Oklahoma St. at UCF market resolve?

The market resolves after the official game result is posted by the relevant sports authority; the market's close time is listed as TBD and may be updated before the game.

What are the two outcomes traders can buy or sell in the Oklahoma St. at UCF market?

There are two outcomes: a contract that pays if Oklahoma State wins the game and a contract that pays if UCF wins the game; college football uses overtime rules so a tie is not expected to be a settlement outcome.

How does the reported $20,009 total volume traded affect the Oklahoma St. at UCF market?

Total volume indicates how much money has changed hands and is a rough proxy for liquidity and the number of active traders; higher volume generally improves price robustness but does not guarantee an accurate prediction.

How should I treat game‑day injury or lineup news for Oklahoma St. at UCF when reading market prices?

Treat game‑day news as high‑impact information—markets typically react quickly to verified injury updates or major lineup changes, so expect prices to shift as that information is incorporated.

Do historical head‑to‑head results between Oklahoma St. and UCF carry a lot of weight for this market?

Head‑to‑head history can provide context but usually carries less weight than current season form, coaching changes, and player availability; markets tend to prioritize recent, directly relevant information.

Related Markets