TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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TCU vs. UCF
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What is the result of TCU vs UCF?

Volume:
$864

TCU vs. UCF

 - Predict

TCU vs. UCF - Predict

1W

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Resolved Sep 26, 2026

Closed: Sep 26, 6:30 PM EST

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TCU vs. UCF

View
1%
Yes 1¢No 99¢
—
$128
$864
N/A
N/A
N/A
Settled
Yes
Total markets: 1

Description

In the upcoming college football game between TCU and UCF, scheduled for September 26 at 3:30PM ET: This market will resolve to "TCU" if TCU win the game. This market will resolve to "UCF" if UCF 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 TCU and UCF, scheduled for September 26 at 3:30PM ET: This market will resolve to "TCU" if TCU win the game. This market will resolve to "UCF" if UCF 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 TCU vs. UCF game tracks the current odds, price history, and 24-hour trading volume. You’ll find a visual representation of how the market is pricing the outcome, allowing you to see shifts in sentiment over time. The current volume is $861, and the total volume traded to date is $864. This provides insight into how actively traders are participating in this market and what they believe the likelihood of each outcome to be. The dashboard is updated in real-time to reflect the latest trading activity.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on power rankings and expert analysis, while this market aggregates the opinions of many individual traders. This can lead to prediction markets being more accurate, particularly as the event approaches and more information becomes available. However, sportsbook odds may sometimes offer more favorable value depending on their specific lines and the market’s current pricing. It's always wise to compare both to make informed decisions.

On Predict, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's collective belief about the probability of that outcome occurring. As more traders participate and new information emerges, the prices adjust accordingly. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more a particular outcome is purchased, the higher its price rises, indicating increased confidence in its likelihood. This dynamic pricing ensures the market reflects the most up-to-date information available.

This market resolves around Sep 26, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the TCU vs. UCF game, as officially reported by a recognized sports authority, will determine the winning outcome in this market. Traders who correctly predicted the result will be eligible for payout based on the final market prices at resolution. It’s important to note that the resolution process relies on objective, publicly available data to ensure a fair and transparent outcome for all participants.

Several factors could influence the price movement of this market before Sep 26, 2026. Key injuries to star players on either team, significant changes in weather forecasts, or unexpected news regarding team dynamics could all impact trader sentiment. Major upsets in other relevant games, or even breaking news related to coaching strategies, could also shift the probabilities. Public opinion, as reflected in media coverage and social media trends, can also play a role, though the market tends to be more driven by informed trading activity than general hype.