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%
TCU
- Kalshi
TCU - Kalshi
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 14, 2026
Time left: 12d:01h:41m
$
Two college football teams will engage in a match where the outcome hinges on which team scores more points within the official game timeframe.
If TCU wins the Kansas St. vs TCU college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Kansas St. wins the Kansas St. vs TCU college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.
Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from those offered by sportsbooks. Sportsbooks set their lines based on their own analysis and to balance betting action, while this market is driven by individuals trading on their beliefs about the likely outcome. It's common to see discrepancies, especially as new information emerges or public sentiment shifts. Often, prediction markets are considered more accurate than traditional polls, as traders have 'skin in the game' and are incentivized to make informed decisions.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Kansas State vs TCU game, as reported by a recognized sports authority. The market will determine which outcome – a win for Kansas State or a win for TCU – is the accurate result of the game. Traders will then be paid out based on whether their contracts align with the confirmed outcome.
Several factors could significantly influence this market before resolution. Any news regarding injuries to key players on either team, changes in coaching strategies, or even weather forecasts could shift trader sentiment. Unexpected announcements about team performance or player availability would likely cause price fluctuations. Public opinion, as reflected in sports news and analysis, can also play a role, as can any significant shifts in betting patterns observed on Kalshi. These factors all contribute to the dynamic pricing of the market.