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%

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TCU vs Baylor: 2nd Half Winner
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What is the result of TCU vs Baylor?

Volume:
$26,736

TCU

 - Kalshi

TCU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 17, 10:56 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

TCU

View
100%
Yes 100¢No 0¢
—
N/A
$4,901
N/A
N/A
$2,646
Settled
Yes
kalshi

Baylor

0%
Yes 0¢No 100¢
—
N/A
$20,246
N/A
N/A
$19,749
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,590
N/A
N/A
$1,589
Settled
No
Total markets: 3

Description

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.

Kalshi

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.

Frequently asked questions

On Kalshi, the dashboard for the TCU vs Baylor 2nd half market tracks the current price, price history, and 24-hour trading volume. You’ll find a visual representation of how the market has moved over time, allowing you to assess trader sentiment. The current 24-hour volume is $25,850, and the total volume traded to date is $26,736. This information helps you understand the level of interest and activity surrounding predictions for which team will win the second half of the game.

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.