TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Texas Tech vs Cincinnati: 3rd Quarter Winner
kalshi

What is the result of Texas Tech vs Cincinnati?

Volume:
$4,489

Texas Tech

 - Kalshi

Texas Tech - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 2:51 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

Texas Tech

View
100%
Yes 100¢No 0¢
—
N/A
$1,078
N/A
N/A
$1,027
Settled
Yes
kalshi

Cincinnati

0%
Yes 0¢No 100¢
—
N/A
$2,789
N/A
N/A
$2,147
Settled
No
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$622
N/A
N/A
$620
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in a specific quarter of an upcoming college football game between Texas Tech and Cincinnati. It provides a way to speculate on short-term performance during the contest. The outcome depends solely on the scoring during the third quarter of play.

Kalshi

If Cincinnati wins the 3rd quarter of the Texas Tech vs Cincinnati college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If Texas Tech wins the 3rd quarter of the Texas Tech vs Cincinnati college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes. If neither team wins the 3rd quarter of the Texas Tech vs Cincinnati college football game originally scheduled for Oct 24, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Texas Tech vs Cincinnati game displays the current price for each possible outcome – which team will win the 3rd quarter. It also shows a price history chart, allowing you to see how the market has moved over time. You can view the total volume traded in this market, currently at $4,489, and the 24-hour volume, which is $3,975. This provides a real-time view of how traders are assessing the probabilities of each team winning the 3rd quarter.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. If a significant number of people believe a certain outcome is more likely than the sportsbook suggests, the price in this market will move accordingly. However, sportsbook odds can influence trading activity, and both may converge closer to the event time as more information becomes available.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each possible outcome – in this case, Texas Tech winning the 3rd quarter or Cincinnati winning the 3rd quarter. The price of each contract represents the probability of that outcome occurring, 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 and new information emerges, these prices fluctuate, reflecting the collective prediction of the group. The current volume traded provides insight into the market’s confidence in each outcome.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on which team is leading after the 3rd quarter of the Texas Tech vs Cincinnati game. Official game results from a trusted sports data source will be used to determine the winner. The platform will then finalize the market, and winning contracts will pay out based on their final price at resolution.

Several factors could influence trading activity in this market. News regarding injuries to key players on either the Texas Tech or Cincinnati teams would likely cause significant price movement. Changes in team performance during the game itself, such as a dominant first half by one team, could also shift the odds. Public sentiment, reflected in polls or expert analysis, can also impact trading decisions. Unexpected weather conditions or referee announcements could also be catalysts, though their impact is generally smaller.