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: 1st Quarter Winner
kalshi

What is the result of TCU vs Baylor?

Volume:
$14,024

TCU

 - Kalshi

TCU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 7:47 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
$9,226
N/A
N/A
$7,519
Settled
Yes
kalshi

Baylor

0%
Yes 0¢No 100¢
—
N/A
$3,662
N/A
N/A
$3,442
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$1,136
N/A
N/A
$951
Settled
No
Total markets: 3

Description

This market tracks which team will lead after the first quarter of a college football game between TCU and Baylor. It focuses solely on the scoring during the initial 15 minutes of play, ignoring the rest of the game. The outcome depends on whether TCU, Baylor, or neither team (in case of a tie) scores more points in that specific period.

Kalshi

If Baylor wins the 1st 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 1st 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 1st 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 1st quarter market provides a real-time view of how traders are pricing the likelihood of each team winning the first quarter. You can see the current odds, the price history showing how those odds have changed over time, and the 24-hour trading volume, which is currently $13,247. The total volume traded on this market is $14,024. This allows you to gauge market sentiment and track how opinions shift as new information becomes available before 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 willing to put their capital behind their beliefs. If a significant number of traders believe a team is undervalued by sportsbooks, the odds on Kalshi will move accordingly, potentially offering a more accurate assessment of the true probabilities. It's common to see discrepancies, especially as new information emerges.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing each possible outcome—in this case, either TCU or Baylor winning the first quarter. The price of each contract reflects the probability of that outcome as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices converge to reflect a collective assessment of the likelihood of each team winning. The higher the price of a contract, the greater the implied probability of that outcome occurring.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official result of which team won the first quarter of the TCU versus Baylor football game will determine the winning contract. The platform will verify the result against official game statistics and reporting to ensure accuracy. Traders holding the winning contract will receive a payout based on the final price of that contract at resolution.

Several factors could influence the price movement of this market. Any news regarding key player injuries for either TCU or Baylor would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favoring one team's style of play, could also shift the odds. Furthermore, late-breaking news about team morale, coaching decisions, or even public sentiment could all contribute to price fluctuations. As the game approaches, even minor updates can cause traders to reassess their positions and adjust their bids and asks on Kalshi.