TOTAL VOLUME:

$154.6b

24H VOL:

$323,326,361

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,969,435,260

419,363

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40,411

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MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

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Kalshi:

63%

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Texas State vs. San Diego State
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What is the result of Texas State vs. San Diego State?

Volume:
$7,106

Texas State vs. San Diego State

 - Predict

Texas State vs. San Diego State - Predict

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 1:30 AM EST

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Predict

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Outcome
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Chance %
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Liquidity
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24h
7d
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predict

Texas State vs. San Diego State

View
2%
74%
Yes 2¢No 98¢
—
$140
$7,106
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Texas State and San Diego State, scheduled for October 3 at 10:30PM ET: This market will resolve to "Texas State" if Texas State win the game. This market will resolve to "San Diego State" if San Diego State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Predict

In the upcoming college football game between Texas State and San Diego State, scheduled for October 3 at 10:30PM ET: This market will resolve to "Texas State" if Texas State win the game. This market will resolve to "San Diego State" if San Diego State win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.

Frequently asked questions

On Predict, the dashboard for the college football matchup tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities of different outcomes shift over time, giving insight into where the crowd currently believes the most value lies. The total volume traded on this market is $7,106, with $6,745 traded in the last 24 hours. This information helps you understand market sentiment and potential trading opportunities related to the game.

Often, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while this market allows traders to express their own independent assessments. If a significant discrepancy exists, it might indicate that prediction market participants believe the sportsbook is mispricing the likelihood of a particular outcome. Keep in mind that both represent probabilities, but are derived through different mechanisms and may respond to different information.

On Predict, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract fluctuates based on supply and demand, ultimately reflecting the collective prediction of the crowd. On Predict, 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 incorporate this knowledge. This dynamic pricing mechanism aims to provide a real-time assessment of the event's probability, distinct from static odds offered elsewhere.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will reflect the final result of the Texas State versus San Diego State college football game. Any official results released by the governing body of college football will serve as the basis for determining the winning outcome in this market. The platform will verify the result against these sources to ensure an accurate and transparent resolution process.

Several factors could influence this market before the game takes place. News regarding key player injuries, changes in coaching strategies, or even significant shifts in weather forecasts could all impact trader sentiment and move the odds. Unexpected announcements about team morale or internal conflicts could also play a role. As the game approaches, any updates that alter the perceived probabilities of either team winning are likely to cause fluctuations in this market's pricing.