TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 8:43 PM EST
Kalshi
This market focuses on determining which team will score more points in a specific quarter of a college football game between TCU and Baylor. It provides a way to speculate on short-term performance during the second quarter of the match, rather than the overall game outcome.
If Baylor wins the 2nd quarter 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 quarter 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 quarter of the TCU vs Baylor college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often proving more accurate than initial sportsbook lines. Sportsbooks set their odds to attract balanced betting and build in a profit margin, while this market allows traders to directly express their beliefs about the probability of each outcome. If there’s significant disagreement between the two, it could indicate that the market perceives information differently than sportsbooks, or that one is reacting more quickly to new developments. It's common to see the odds converge as the event approaches.
On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing each possible outcome. The price of a contract reflects the market’s implied probability of that outcome occurring. As more people buy contracts for a particular team, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current top outcome, as indicated by the highest implied probability, is Baylor wins the 2nd quarter, though this can change rapidly based on trading activity.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading at the end of the second quarter of the TCU vs Baylor football game. The official game results will be used to determine the winning team for the purposes of this market. Any adjustments or corrections to the official results will be considered in the resolution process.
Several factors could influence the price movement of this market. Any news regarding player injuries, changes in coaching strategies, or even weather forecasts could impact trader sentiment. Unexpected announcements about team lineups or performance updates will likely cause shifts in the odds. Public perception, as reflected in polls or expert analysis, could also play a role, though this market is driven by individual trading decisions rather than external opinions. Major in-game events during the first quarter could also heavily influence the second quarter market.