TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs UCF: First Team to Score a TD
kalshi

What is the result of Baylor vs UCF?

Volume:
$10,333

Baylor

 - Kalshi

Baylor - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 30, 2026

Closed: Oct 30, 8:05 PM EST

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Kalshi

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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

Baylor

View
100%
55%
Yes 100¢No 0¢
—
N/A
$8,014
N/A
N/A
$5,992
Settled
Yes
kalshi

UCF

0%
50%
Yes 0¢No 100¢
—
N/A
$2,319
N/A
N/A
$2,110
Settled
No
kalshi

No team

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score the first touchdown in an upcoming college football game. It includes scenarios where either team scores first or neither team scores a touchdown during the entire match, including overtime periods. The outcome depends purely on the game's live progression and scoring events.

Kalshi

The market determines which team scores the first touchdown in the Baylor vs. UCF college football game scheduled for October 30, 2026, with three possible outcomes: UCF scores first, Baylor scores first, or neither team scores a touchdown at all. All types of touchdowns—offensive, defensive, and special teams—are counted toward the outcome, including those scored in overtime. If the game is postponed but starts within 48 hours of its original time, the market remains active and resolves based on the final result. If the game does not start within 48 hours of the scheduled time, the market resolves to a fair price. Kalshi explicitly states it is not affiliated with the NCAA, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs UCF first TD market displays the current price of each possible outcome – which team scores first, or if neither team scores a touchdown at all. You’ll also find a price history chart showing how the odds have changed over time, as well as the 24-hour trading volume, currently at $9,667. The total volume traded on this market is $10,323. This allows traders to see how much activity there is and how sentiment is shifting regarding who will score the first touchdown in the game.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and specialized knowledge. Sportsbooks set their initial odds to balance betting action, while this market’s prices are driven purely by individuals willing to buy or sell based on their beliefs about the outcome. Over time, the prices in this market tend to become more accurate as more information becomes available and more traders participate, potentially offering a more refined probability assessment than traditional odds.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which team, if any, scores the first touchdown in the Baylor vs UCF game. The resolution will be based on official game statistics and play-by-play data. Any disputes regarding the outcome will be assessed against established game rules and verified against credible public sources, ensuring a fair and accurate settlement of this market.

Several factors could influence the price movement in this market. News regarding key player injuries for either Baylor or UCF would likely have a significant impact. Changes in weather forecasts, particularly if severe weather is predicted, could also shift the odds. Late-breaking news about team strategies or coaching decisions could also move the market. Additionally, any significant betting activity – a large volume of trades in one direction – could cause the price to adjust rapidly as traders react to the perceived information or sentiment.