TOTAL VOLUME:

$154.6b

24H VOL:

$333,432,169

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,971,286,090

419,492

Markets across

40,634

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MATCHED EVENTS:

4,654

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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

Volume:
$1,017

Texas A&M vs. Alabama

 - Predict

Texas A&M vs. Alabama - Predict

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Resolved Oct 24, 2026

Closed: Oct 24, 6:30 PM EST

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Texas A&M vs. Alabama

View
0%
Yes 0¢No 100¢
—
$2,248
$1,017
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

In the upcoming college football game between Texas A&M and Alabama, scheduled for October 24 at 3:30PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "Alabama" if Alabama 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.

Predict

In the upcoming college football game between Texas A&M and Alabama, scheduled for October 24 at 3:30PM ET: This market will resolve to "Texas A&M" if Texas A&M win the game. This market will resolve to "Alabama" if Alabama 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 Predict, the dashboard for the Alabama vs. Texas A&M game tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probability of different outcomes shifts over time as traders buy and sell shares. Currently, the total volume for this market is $1,017, with $1,017 traded in the last 24 hours. This allows you to gauge market sentiment and identify potential opportunities based on how others are predicting the game's result. The dashboard provides a real-time view of the collective forecast.

Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring a profit margin for themselves, which can slightly distort the true probabilities. This market, however, is driven by the collective wisdom of traders who are incentivized to accurately assess the likelihood of each outcome. While sportsbook odds often reflect public perception and biases, prediction markets can sometimes provide a more refined forecast, especially as more information becomes available and trading volume increases. It's a valuable comparison point for informed decision-making.

On Predict, this market is priced using a continuous double auction, meaning traders can buy and sell shares representing their belief in the probability of a specific outcome. The price of each share fluctuates based on supply and demand. As more people buy shares in a particular outcome, its price increases, and the implied probability rises. Conversely, selling pressure lowers the price and decreases the probability. On Predict, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing mechanism allows the market to quickly incorporate new information and reflect the evolving expectations of participants regarding the Alabama vs. Texas A&M game.

This market resolves around Oct 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Alabama vs. Texas A&M game, as reported by a widely recognized sports news source. The platform will verify the result against these sources to determine which outcome wins. Traders holding shares in the winning outcome will receive a payout based on the final market price at resolution, while those holding shares in losing outcomes may forfeit their investment.

Several factors could significantly influence this market before Oct 24, 2026. Key injuries to star players on either the Alabama or Texas A&M teams would likely cause shifts in the odds. Unexpected coaching changes, significant weather forecasts impacting game conditions, or even breaking news regarding team morale or internal conflicts could also move the market. Public sentiment, as reflected in media coverage and expert analysis, can play a role, though prediction markets often weigh information more rationally than general public opinion. Any development that alters the perceived probability of either team winning has the potential to impact trading activity.