TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 5:26 PM EST
Kalshi
Two college football teams will face off in a competitive match where only the first half's performance matters. The outcome depends entirely on which team leads at halftime, with a tie also being a possible result.
The market resolves based on which team leads at the end of the first half of the designated college football game. If UCF, BYU, or neither team (tie) leads at halftime, the respective market resolves to Yes. Should the game be postponed but commence within 48 hours of the original start time, the market remains open and resolves according to the official result. If the game does not start within 48 hours, the market resolves to a fair price. Only points scored during the first half count toward the resolution.
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 to balance betting action, while this market is driven by individuals trading based on their own information and beliefs. If the public heavily favors one team, the price of that outcome in this market may move differently than at a sportsbook, potentially offering value to informed traders. It's common to see discrepancies, especially as new information emerges closer to the event.
On Kalshi, this market is priced through a continuous auction mechanism. Traders buy and sell contracts representing each possible outcome – a BYU win, a UCF win, or a tie. As more people buy a contract, its price increases, reflecting a higher probability of that outcome. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract effectively represents the market's forecast for the likelihood of that outcome occurring. This dynamic pricing allows the market to quickly incorporate new information and adjust probabilities in real time.
This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by which team is leading at the end of the first half of the BYU vs UCF football game. A tie is also a possible outcome. The official game results will be used to verify the winner, ensuring a transparent and accurate resolution process. Traders will be able to claim their winnings based on the final, verified result.
Several factors could influence the price movement of this market. Any news regarding injuries to key players on either the BYU or UCF teams would likely have a significant impact. Changes in weather forecasts, particularly if they suggest adverse conditions, could also shift the odds. Unexpected announcements about coaching strategies or team morale might also move the market. Finally, large volume trades from informed traders can quickly alter the price, reflecting new insights or shifts in sentiment regarding the first half winner.