TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:39 PM EST
Kalshi
This market tracks whether TCU will win its college football game against Baylor. Currently, Kalshi gives TCU a win probability of 84.0%, while Baylor winning is priced at 16.0%. The market resolves based on the outcome of the TCU vs Baylor college football game originally scheduled for October 16, 2026, as reported by the game’s official results. Keep a close eye on the game itself, as the final score on October 16, 2026, will ultimately determine the market’s resolution.
The market resolves to Yes for the respective team if they win the college football game originally scheduled for October 16, 2026. Should the game be postponed but commence within 48 hours of its scheduled start time, the market remains active and resolves based on the official result. If the game is cancelled or fails to start within 48 hours of the original time, the market resolves to a fair price. Kalshi holds no affiliation with the NCAA, and all trademarks belong to their respective owners.
Generally, prediction market odds tend to reflect the wisdom of the crowd, often aligning closely with sportsbook odds but sometimes diverging based on unique information or perspectives held by traders. Sportsbooks set lines based on their own models and risk management, while this market allows individuals to express their beliefs directly. If there’s a significant difference, it could indicate that traders believe the sportsbook is mispricing the probability of a particular outcome. It's important to remember that both represent probabilities, but are derived through different mechanisms.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the TCU vs Baylor game, as officially reported by a trusted sports data source. The platform will verify the result against these sources to determine which outcome will be considered the winner and settle the market accordingly. Traders who correctly predicted the outcome will receive a payout based on the final contract price.
Several signals could significantly impact this market. Any news regarding key player injuries, changes in coaching strategies, or even weather forecasts could shift trader sentiment. Unexpected performance in preceding games for either TCU or Baylor would also likely cause movement. Public opinion, as reflected in polls or expert analysis, can also influence trading activity, though this market represents independent predictions. Major upsets in other related games could also indirectly affect how traders view the probabilities in this market.