TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 9:28 PM EST
Kalshi
Two college football teams will face off in a competitive match, and participants are interested in predicting which team will lead at halftime. The outcome depends solely on the scoring during the first two quarters of play.
The market resolves based on which team leads after the first half of the designated college football game. If either team holds a points advantage at the end of the first half, the corresponding market resolves to Yes. If the game is tied at halftime, the Tie market resolves to Yes. Postponements are accounted for: if the game starts within 48 hours of the original time, trading continues; otherwise, the market resolves to a fair price. Only points scored in the first half count toward resolution.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by individuals trading based on their own information and beliefs. Often, you’ll find that this market incorporates information more quickly than sportsbooks, especially regarding factors not immediately apparent to the public. However, discrepancies can occur, and it’s always wise to compare both to inform your decisions.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the first half of the Notre Dame vs BYU game will determine the outcome. The platform will verify the result against official game statistics and reporting to ensure an accurate and transparent resolution. Traders who correctly predicted the first-half winner will receive a payout based on the final market prices at resolution.
Several factors could influence this market before the game concludes. Any news regarding injuries to key players on either the Notre Dame or BYU teams would likely cause significant movement. Changes in weather forecasts, particularly if they impact the playing conditions, could also shift expectations. Furthermore, late-breaking news about team strategies or coaching decisions could impact trading activity. Public sentiment, as reflected in polls or expert analyses, can also play a role, though this market is driven by individual trading decisions.