TOTAL VOLUME:
$147.6b
24H VOL:
$156,130,290
24H TRANSACTIONS:
2,799,919,006
OPEN INTEREST:
$1,782,923,786
501,315
Markets across
37,757
events
MATCHED EVENTS:
2,847
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 3, 4:35 PM EST
Polymarket
This market tracks the outcome of the UCF versus Houston college football game on Polymarket. Currently, the market assigns a 100.0% probability to Houston covering the -8.5 spread. Resolution will be based on the official results reported on https://www.ncaa.com/. Keep a close watch on the game itself, scheduled for October 3 at 12:00PM ET, as the final score will determine the market’s outcome.
In the upcoming college football game between UCF and Houston, scheduled for October 3 at 12:00PM ET: This market will resolve to "UCF" if UCF win the game. This market will resolve to "Houston" if Houston win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, 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 price of shares will fluctuate, reflecting the evolving consensus. Currently, the market indicates a strong expectation for Spread: UCF (-5.5) to occur, as evidenced by the high probability assigned to it.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the final result of the UCF vs. Houston game, as reported by official sources. The platform will verify the result against these sources to determine which outcome wins. Traders who correctly predicted the outcome will be paid out according to their share holdings, while those who bet on the losing outcome will forfeit their shares.
Several factors could influence this market before resolution. Any news regarding injuries to key players on either team, changes in coaching strategies, or significant weather forecasts could all impact trader sentiment and shift the odds. Unexpected announcements about team dynamics or player availability could also lead to substantial price movements. Furthermore, large trading volume from informed participants could signal new information entering the market, causing a rapid adjustment in probabilities.