TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

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40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Utah State vs. Texas State
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What is the result of Utah State vs. Texas State?

Volume:
$2,460

Utah State vs. Texas State

 - Predict

Utah State vs. Texas State - Predict

1W

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Resolved Oct 24, 2026

Closed: Oct 24, 10:30 PM EST

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Utah State vs. Texas State

View
0%
Yes 0¢No 100¢
—
$81
$2,460
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Utah State and Texas State, scheduled for October 24 at 7:30PM ET: This market will resolve to "Utah State" if Utah State win the game. This market will resolve to "Texas State" if Texas 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 Utah State and Texas State, scheduled for October 24 at 7:30PM ET: This market will resolve to "Utah State" if Utah State win the game. This market will resolve to "Texas State" if Texas 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 Utah State vs. Texas State game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes changes over time, and monitor the total volume traded in this market, which currently stands at $2,460. The 24-hour volume is $2,456, indicating recent trading activity. This provides a real-time view of what traders think about the likely result of the game.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from those offered by sportsbooks. Sportsbooks set initial lines to balance their risk, while this market’s odds are driven by individuals willing to put their money behind their beliefs. Often, prediction markets are more accurate than traditional polls or expert opinions, as they incentivize participants to be well-informed. However, sportsbook odds can sometimes offer value, particularly if they diverge significantly from the prediction market price.

On Predict, this market is priced through a continuous process where traders buy and sell contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more people trade, the price adjusts to reflect new information and changing sentiment. The current price is determined by the forces of supply and demand, with buyers driving the price up and sellers driving it down. This dynamic pricing mechanism aims to provide a real-time assessment of the game's likely outcome.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Utah State vs. Texas State game, as reported by official sources, will determine the winning outcome in this market. The resolution process relies on publicly available information to ensure a fair and transparent outcome for all participants. The platform will verify the result against established sports data feeds and reporting.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries, changes in coaching strategies, or significant weather forecasts could shift trader sentiment. Unexpected announcements about team morale or internal conflicts could also play a role. Furthermore, large volume trades from informed participants could indicate new information or a change in market perception. Monitoring these signals can provide insights into potential price movements.