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%

BETA
Dashboards
Tour
All
Sports
TCU vs Baylor: 2nd Quarter Winner
kalshi

What is the result of TCU vs Baylor?

Volume:
$3,033

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 8:43 PM EST

kalshi

Kalshi

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

Baylor

View
100%
Yes 100¢No 0¢
—
N/A
$1,214
N/A
N/A
$1,175
Settled
Yes
kalshi

TCU

0%
Yes 0¢No 100¢
—
N/A
$975
N/A
N/A
$880
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$843
N/A
N/A
$836
Settled
No
Total markets: 3

Description

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.

Kalshi

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.

Frequently asked questions

On Kalshi, the dashboard for the TCU vs Baylor 2nd quarter market displays the current price of each possible outcome – which team will win the second quarter. You’ll also find a price history chart showing how the probabilities have shifted over time, along with the 24-hour trading volume, currently at $1,898. The total volume traded on this market is $3,033. This allows you to see how much activity there is and how traders are positioning themselves before the game.

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.