TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

Markets across

40,511

events

MATCHED EVENTS:

4,612

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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

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

Volume:
$7,279

Alabama

 - Kalshi

Alabama - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 24, 2026

Closed: Oct 24, 3:57 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

Alabama

View
100%
Yes 100¢No 0¢
—
N/A
$4,439
N/A
N/A
$4,055
Settled
Yes
kalshi

Texas A&M

0%
Yes 0¢No 100¢
—
N/A
$2,404
N/A
N/A
$2,283
Settled
No
kalshi

No team

0%
Yes 0¢No 100¢
—
N/A
$436
N/A
N/A
$436
Settled
No
Total markets: 3

Description

This market focuses on predicting which team will score the first touchdown in an upcoming college football game between Texas A&M and Alabama. It includes scenarios where either team scores first, or neither team scores a touchdown during the entire game, including any overtime periods.

Kalshi

The market determines which team scores the first touchdown in the Texas A&M vs Alabama college football game scheduled for October 24, 2026, with three possible outcomes: Alabama scores first, Texas A&M scores first, or no team scores a touchdown at all. 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 active and resolves based on the actual result. If the game does not start within 48 hours of its scheduled time, the market resolves to a fair price. The markets are independent of any official NCAA affiliation, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the Texas A&M vs Alabama game tracks the current odds for which team will score the first touchdown. You can view the price history, illustrating how the perceived probability of each outcome has changed over time. The dashboard also displays the 24-hour trading volume, currently at $2,016, and the total volume traded to date, which is $7,279. This provides insight into how much activity and interest this particular market is receiving from traders.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on statistical models and expert analysis, aiming to balance action on both sides. This market, however, allows individuals to express their beliefs and hedge against risk, potentially leading to odds that diverge from traditional sportsbooks. It’s common to see prediction markets react more quickly to new information and adjust probabilities based on real-time sentiment, unlike fixed sportsbook lines.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of each outcome. The price of a contract reflects the market’s current assessment of that outcome’s likelihood. As more traders buy contracts for a particular team, the price increases, and the implied probability rises. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity influence price movements, creating a dynamic and responsive pricing mechanism. Traders are incentivized to provide accurate predictions, as profitable trades are rewarded.

This market resolves around Oct 24, 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 Texas A&M vs Alabama game. The official game results, as reported by a widely recognized sports news source, will determine the winning outcome. Any disputes or ambiguities will be resolved based on the official game statistics and rulings. The platform will then distribute payouts to contract holders based on the final result.

Several factors could significantly impact this market before the game concludes. News regarding key player injuries for either Texas A&M or Alabama would likely cause shifts in the odds. Changes in weather forecasts, particularly conditions favoring one team’s offensive style, could also influence trading activity. Unexpected announcements about coaching strategies or team morale might also move the market. Finally, any significant public betting patterns observed in sportsbooks could prompt traders to adjust their positions in this market as well.