TOTAL VOLUME:

$134b

24H VOL:

$107,351,958

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,416,970,024

400,720

Markets across

30,097

events

MATCHED EVENTS:

2,633

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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UCF vs Pittsburgh: 1st Quarter Winner
kalshi

What is the result of UCF vs Pittsburgh?

Volume:
$4,419

Pittsburgh wins 1st Quarter

 - Kalshi

Pittsburgh wins 1st Quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 12, 2026

Closed: Sep 12, 5:14 PM EST

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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

Pittsburgh wins 1st Quarter

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,737
N/A
N/A
$2,715
Settled
Yes
kalshi

Tie 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$1,204
N/A
N/A
$1,198
Settled
No
kalshi

UCF wins 1st Quarter

0%
Yes 0¢No 100¢
100¢
N/A
$478
N/A
N/A
$470
Settled
No
Total markets: 3

Description

This market tracks which team will lead at the end of the first quarter in an upcoming college football game between UCF and Pittsburgh. It focuses solely on the scoring dynamics of the opening quarter, ignoring the rest of the game. The outcome depends on whether Pittsburgh, UCF, or neither team (in case of a tie) scores more points in that initial segment.

Kalshi

If Pittsburgh wins the 1st quarter of the UCF vs Pittsburgh college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If UCF wins the 1st quarter of the UCF vs Pittsburgh college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes. If neither team wins the 1st quarter of the UCF vs Pittsburgh college football game originally scheduled for Sep 12, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the UCF vs Pittsburgh game tracks the current odds for each team to win the first quarter, the 24-hour trading volume, and a price history chart showing how those odds have changed over time. Currently, the total volume for this market is $4,419, with $2,931 traded in the last 24 hours. You can see how traders are positioning themselves ahead of the game and get a sense of the implied probability of each outcome based on the prices offered.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own information and beliefs. This can lead to prediction markets being more accurate, especially as the event approaches and more information becomes available. However, sportsbook odds are readily accessible and often provide a useful benchmark for comparison.

On Kalshi, this market is priced through a continuous order book, meaning traders are constantly buying and selling 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 people trade, the prices adjust to reflect the collective view. The current top market on Kalshi is for UCF winning the first quarter, though the chance percentage fluctuates with trading activity.

This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the first quarter winner of the UCF vs Pittsburgh game will be used to determine the winning contract. The resolution will be based on official game results and any subsequent verification processes to ensure accuracy. This market will close prior to the end of the first quarter to prevent any ambiguity regarding the outcome.

Several signals could significantly impact this market. Any news regarding key player injuries or suspensions for either UCF or Pittsburgh would likely cause shifts in the odds. Unexpected weather forecasts impacting game conditions could also be a factor. Furthermore, major announcements about coaching strategies or team morale could influence trader sentiment. As the game draws closer, even minor updates from reliable sources will likely contribute to price movements in this market.