TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Colorado St. vs Texas St.: 2nd Quarter Winner
kalshi

What is the result of Colorado St. vs Texas St.?

Volume:
$19,630

Texas St.

 - Kalshi

Texas St. - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 15, 2026

Closed: Oct 15, 9:52 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

Texas St.

View
100%
Yes 100¢No 0¢
—
N/A
$9,015
N/A
N/A
$7,318
Settled
Yes
kalshi

Tie

0%
Yes 0¢No 100¢
—
N/A
$8,078
N/A
N/A
$4,326
Settled
No
kalshi

Colorado St.

0%
Yes 0¢No 100¢
—
N/A
$2,538
N/A
N/A
$2,156
Settled
No
Total markets: 3

Description

This market focuses on determining which team will score more points in the second quarter of an upcoming college football game between Colorado State and Texas State. The outcome depends solely on the performance during that specific 15-minute segment, not the overall game result.

Kalshi

If Texas St. wins the 2nd quarter of the Colorado St. vs Texas St. college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes. If Colorado St. wins the 2nd quarter of the Colorado St. vs Texas St. college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes. If neither team wins the 2nd quarter of the Colorado St. vs Texas St. college football game originally scheduled for Oct 15, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Colorado St. vs Texas St. 2nd quarter market displays the current price, a historical price chart, and 24-hour trading volume. You can see how the market is valuing each possible outcome – which team will win the second quarter – and track changes in sentiment over time. Currently, the 24-hour volume is $9,544 and the total volume traded is $19,630. This allows you to gauge the level of interest and activity in this particular market.

Often, prediction market odds reflect a different perspective than those found at sportsbooks. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the collective wisdom of traders who are incentivized to accurately forecast the outcome. Discrepancies can arise due to differing information, biases, or simply varying interpretations of the teams’ strengths. If significant differences exist, it may suggest an opportunity for value betting, where one venue offers more favorable odds than the other based on your assessment.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing each possible outcome. The price of a contract reflects 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 becomes available, the prices adjust to reflect the evolving consensus. The market's price movements are driven by supply and demand; if more people believe Colorado St. will win the second quarter, the price of that outcome will increase.

This market resolves around Oct 16, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The winning team of the second quarter in the Colorado St. vs Texas St. game will determine the outcome. The resolution will be based on the official game results as reported by a trusted sports data provider. Traders holding contracts for the winning team will receive a payout, while those holding contracts for the losing team will not.

Several factors could influence the price of this market. Any news regarding key player injuries for either Colorado St. or Texas St. would likely cause significant movement. Changes in team performance during the first quarter of the game, or even pre-game reports on team strategy, could also impact trader sentiment. Unexpected weather conditions or referee announcements could also introduce volatility. Ultimately, any information that alters perceptions of each team’s chances of winning the second quarter has the potential to shift the market.