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Louisiana Tech vs LSU: First Team to Score a TD
kalshi
predict

What is the result of Louisiana Tech vs LSU?

Volume:
$2,747

LSU scores first TD

 - Kalshi

LSU scores first TD - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 12, 8:04 PM EST

kalshi

Kalshi

View
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%
Yes 100¢No 0¢
100¢
N/A
$353
N/A
N/A
$327
Settled
Yes
predict

Louisiana Tech vs. LSU

View
96%
Yes 96¢No 4¢
—
N/A
$3
N/A
N/A
N/A
Settled
No
kalshi

No team scores a TD

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$2,117
N/A
N/A
$1,347
Settled
No
kalshi

Louisiana Tech scores first TD

View
0%
63%
Yes 0¢No 100¢
100¢
N/A
$275
N/A
N/A
$249
Settled
No
Total markets: 4

Description

This prediction market asks which team will score the first touchdown in the Louisiana Tech vs. LSU college football game. The market resolves to either Louisiana Tech or LSU, depending on which team reaches the endzone first. Overtime is included in determining the first touchdown scorer.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Predict is resolving to the overall game winner, while Kalshi is resolving to the first team to score a touchdown.Hero tip: Trade on Kalshi for the intended question; avoid Predict as it appears to be resolving to a different outcome.

Critical divergence points:

  • predict: The market resolves based on which team wins the game, including overtime. A tie results in a 50-50 split. "This market will resolve to \"Louisiana Tech\" if Louisiana Tech win the game."
  • kalshi: The market resolves to 'Yes' if either LSU or Louisiana Tech scores the first touchdown. It also resolves to 'Yes' if neither team scores a touchdown. "If LSU scores the first touchdown... then the market resolves to Yes."
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Kalshi

The event determines whether LSU, Louisiana Tech, or neither team scores the first touchdown in their college football game scheduled for September 12, 2026. All touchdowns—including those from offensive, defensive, or special teams plays—are counted, even if they occur in overtime. If the game is postponed but starts within 48 hours of the original kickoff time, the result will be based on the actual game outcome. If the game does not start within 48 hours of its scheduled time, the market will resolve to a fair price. The event encompasses three possible outcomes: LSU scores first, Louisiana Tech scores first, or no team scores a touchdown during the entire game.

Predict

In the upcoming college football game between Louisiana Tech and LSU, scheduled for September 12 at 7:30PM ET: This market will resolve to "Louisiana Tech" if Louisiana Tech win the game. This market will resolve to "LSU" if LSU 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 Kalshi and Predict, this dashboard tracks the probability of either team scoring the first touchdown in the Louisiana Tech vs LSU game. Currently, the aggregated view shows a combined volume of $2,747 across both platforms. While there isn't a clear consensus yet, the dashboard provides a real-time view of where the crowd believes the initial scoring advantage lies. Traders on each platform express their predictions through buy and sell orders, influencing the probabilities displayed. This allows for a dynamic assessment of expectations leading up to the event.