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Kentucky vs Texas A&M: First Team to Score a TD
kalshi

What team scores first in Kentucky vs Texas A&M?

Volume:
$14,822

Texas A&M scores first TD

 - Kalshi

Texas A&M scores first TD - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 19, 2026

Closed: Sep 19, 4:46 PM EST

kalshi

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

Texas A&M scores first TD

View
100%
16%
Yes 100¢No 0¢
100¢
N/A
$1,416
N/A
N/A
$1,134
Settled
Yes
kalshi

No team scores a TD

View
0%
Yes 0¢No 100¢
100¢
N/A
$12,604
N/A
N/A
$12,604
Settled
No
kalshi

Kentucky scores first TD

View
0%
27%
Yes 0¢No 100¢
100¢
N/A
$802
N/A
N/A
$723
Settled
No
Total markets: 3

Description

This event tracks which team will score the first touchdown in an upcoming college football game between Kentucky and Texas A&M. It includes scenarios where either team scores first or if no touchdown is scored at all during the game, including any overtime periods. The outcome depends purely on the game's live progression and scoring events.

Kalshi

The event determines which team scores the first touchdown in the Kentucky vs Texas A&M college football game scheduled for September 19, 2026, with three possible outcomes: Texas A&M scores first, Kentucky scores first, or neither team scores a touchdown. All touchdowns—offensive, defensive, or special teams—count towards the result, 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 at a fair price. The markets are independent of any official NCAA affiliation, and all trademarks remain property of their respective owners.

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their money behind their beliefs. As more information becomes available – such as injury reports or weather forecasts – and as the event nears, you may see the odds on Kalshi converge with, or diverge from, those offered by sportsbooks, depending on how the public perceives the new information. It’s a good way to gauge public sentiment.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s collective belief about the likelihood of that outcome occurring. 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 new information and changing opinions. Currently, the market indicates that Texas A&M scoring first is the most probable outcome. The price is determined solely by supply and demand from traders on Kalshi.

This market resolves around Sep 19, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on which team scores the first touchdown in the Kentucky vs Texas A&M game, as determined by official game statistics. The official game log will serve as the source for verifying the outcome. Traders will be able to see the final result reflected in their account balances shortly after the game concludes and the outcome is officially reported.

Several factors could influence the odds in this market. Any news regarding key player injuries on either Kentucky or Texas A&M would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favorable to one team’s offensive style, could also shift the market. Additionally, any late-breaking news about coaching strategies or team morale could impact trader sentiment. Even public perception shifts, driven by media coverage or social media buzz, can influence trading activity and therefore the price of contracts.