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$1,923,931,766

416,910

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4,571

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5

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Arkansas-Pine Bluff Golden Lions vs. Texas A&M Aggies (W)
polymarket
kalshi

What is the result of Arkansas-Pine Bluff vs Texas A&M?

Total volume:
$8,687
Volume 24h:
$7,464N/A
Liquidity:
$1,975
30,106%
Open interest:
$8,290
34%

Arkansas-Pine Bluff Golden Lions vs. Texas A&M Aggies (W)

 - Polymarket

Arkansas-Pine Bluff Golden Lions vs. Texas A&M Aggies (W) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Arkansas-Pine Bluff Golden Lions vs. Texas A&M Aggies (W)

100%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 50¢ buys you 200 shares | Odds: 100% Total Payout: $200 | Net Profit: $100 Multiplier: 2.00x | ROI: 100% | APY: N/A Illiquid market
You will be redirected to the platform to complete this trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Arkansas-Pine Bluff Golden Lions vs. Texas A&M Aggies (W)

Trade
100%
50%
Yes 100¢No 50¢
—
$1,975
N/A
N/A
N/A
N/A
0d 0h 0m
Active
kalshi

Texas A&M

View
100%
Yes 100¢No 0¢
—
N/A
$5,365
N/A
N/A
$4,991
Settled
Yes
kalshi

Arkansas-Pine Bluff

View
0%
1%
Yes 0¢No 100¢
—
N/A
$3,322
N/A
N/A
$3,299
Settled
No
Total markets: 3

Description

This prediction market centers around the outcome of a women's college basketball game between Arkansas-Pine Bluff and Texas A&M, scheduled for November 2nd. The market asks whether either team will win the game, with resolution dependent on the official game result.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution criteria guarantee a 'Yes' outcome if the game is played, regardless of which team wins, while Polymarket focuses on the winning team and handles cancellations/postponements.Hero tip: Prioritize Polymarket as its resolution logic aligns with standard sports outcome markets and includes appropriate handling of game disruptions.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game on November 2nd. If the game is postponed, the market remains open until completion. If canceled, it resolves 50-50. "This event is for the WBB game between Arkansas-Pine Bluff Golden Lions and Texas A&M Aggies on November 2 at 8:00PM ET."
  • Kalshi: The market resolves to 'Yes' if either Texas A&M or Arkansas-Pine Bluff wins the game. "If Texas A&M wins the Arkansas-Pine Bluff vs Texas A&M women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If Arkansas-Pine Bluff wins the Arkansas-Pine Bluff vs Texas A&M women's college basketball game originally scheduled for Nov 2, 2026, 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.

Polymarket

This event is for the WBB game between Arkansas-Pine Bluff Golden Lions and Texas A&M Aggies on November 2 at 8:00PM ET. 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.

Kalshi

The market resolves according to the official winner of the women's college basketball game between Arkansas-Pine Bluff and Texas A&M, scheduled for November 2, 2026. If the game is postponed but starts within 48 hours of the scheduled time, the market remains open and resolves based on the final result. If the game is cancelled or does not start within 48 hours, both markets resolve to a fair price. Kalshi is not connected to the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

Prediction market odds, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market allows traders to freely express their beliefs. This can lead to discrepancies, especially as new information emerges. It’s common to see prediction markets move faster than sportsbooks in response to breaking news or shifts in public sentiment regarding the Arkansas-Texas A&M football game.

Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Kalshi can arise from several factors. Each platform has its own user base with varying levels of expertise and information. Trading volume also plays a role; higher volume generally leads to more efficient price discovery. Furthermore, the specific rules and incentives on each platform can influence trading behavior. For example, different fee structures or margin requirements might attract different types of traders. These factors contribute to the observed price discrepancies for the Arkansas-Texas A&M football game.

This market resolves around Nov 3, 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 Arkansas-Texas A&M football game, as reported by official sources. Traders will be able to see the final outcome and how their predictions fared once the event concludes and the results are verified. The final outcome will determine which traders are rewarded based on their positions in this market.

Several factors could significantly impact the trading activity and price movement in this market. Any news regarding injuries to key players on either the Arkansas-Pine Bluff Golden Lions or the Texas A&M Aggies would likely cause a shift in probabilities. Unexpected coaching changes, weather forecasts impacting game conditions, or even significant changes in public perception could also influence trading. Major upsets in other college football games could also indirectly affect sentiment and volume as traders re-evaluate their positions before Nov 3, 2026.