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, 10:56 PM EST
Kalshi
This market focuses on determining which team will score more points in the second half of a college football game between TCU and Baylor. It specifically evaluates performance from halftime onward, including any overtime periods, to decide the outcome.
If Baylor wins the 2nd half (including overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If TCU wins the 2nd half (including overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If neither team wins the 2nd half (including overtime) of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals trading based on their own information and analysis. As more people trade, the price tends to converge towards what traders collectively believe is the true probability of each outcome, potentially offering a different perspective than sportsbook lines. It’s common to see discrepancies, especially before significant events or breaking news.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s assessment of that outcome’s likelihood. As more traders buy contracts for a particular team, the price increases, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism means the market constantly adjusts to new information and changing sentiment, providing a real-time view of expectations for the TCU vs Baylor 2nd half.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The team leading at the end of the second half of the TCU vs Baylor game will be declared the winner of this market. The official game results, as reported by a trusted sports data source, will serve as the basis for determining the winning outcome. Traders holding contracts for the winning team will be paid out according to the final market price at resolution.
Several factors could influence the price of this market before resolution. Any news regarding injuries to key players on either the TCU or Baylor teams would likely have a significant impact. Changes in team performance during the first half of the game, or even pre-game reports about coaching strategies, could also shift trader sentiment. Unexpected weather conditions or referee announcements could also play a role. Overall, any information that alters perceptions of each team’s chances of winning the second half has the potential to move this market.