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

What is the result of Texas A&M vs LSU?

Volume:
$10,668

LSU scores first TD

 - Kalshi

LSU scores first TD - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 27, 2026

Closed: Sep 26, 8:03 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

LSU scores first TD

View
100%
33%
Yes 100¢No 0¢
100¢
N/A
$3,116
N/A
N/A
$2,564
Settled
Yes
kalshi

Texas A&M scores first TD

View
0%
32%
Yes 0¢No 100¢
100¢
N/A
$4,794
N/A
N/A
$4,205
Settled
No
kalshi

No team scores a TD

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,758
N/A
N/A
$2,758
Settled
No
Total markets: 3

Description

This event tracks which team will score the first touchdown in an upcoming college football game between Texas A&M and LSU. 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 Texas A&M vs LSU college football game scheduled for September 26, 2026, with three possible outcomes: LSU scores first, Texas A&M scores first, or no team scores a touchdown. All types of touchdowns—offensive, defensive, and special teams—are counted, including those scored in overtime. If the game is postponed but starts within 48 hours of the original time, the market remains open and resolves based on the final result. If the game does not start within 48 hours, the market resolves to a fair price. Kalshi clarifies that 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 Texas A&M vs LSU game tracks the current odds for which team will score the first touchdown. You’ll find a price history showing how those odds have changed over time, giving insight into where the crowd thinks the advantage lies. The dashboard also displays the 24-hour trading volume, currently at $8,344, and the total volume traded to date, which is $10,668. This allows you to gauge market activity and how much money is backing each potential outcome.

Typically, prediction market odds reflect the wisdom of the crowd and can sometimes differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and need to account for profit margins, while this market is driven purely by traders predicting the outcome. If a significant discrepancy exists, it might suggest the market believes a sportsbook has mispriced the probability of a particular event occurring in the Texas A&M vs LSU game. It's worth comparing to see if you can find an edge.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of each team scoring the first touchdown. As more people buy contracts for a specific outcome, the price of those contracts increases, reflecting a higher perceived probability. Conversely, selling contracts lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price of a contract indicates what a trader would need to pay to own one unit of that outcome, and therefore reflects the market's collective belief about its likelihood.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the market will determine which team scores the first touchdown in the Texas A&M vs LSU game. The result will be based on official game statistics and play-by-play data, ensuring an objective and verifiable outcome. The resolution will reflect the consensus of available information following the completion of the game.

Several factors could influence the trading activity in this market. Any news regarding key player injuries for either the Texas A&M or LSU teams would likely cause significant movement. Changes in weather forecasts, particularly if they favor one team's style of play, could also shift the odds. Finally, even general sentiment and public perception, influenced by pre-game analysis and expert opinions, can impact trading volume and prices as traders adjust their predictions.