TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Southern Jaguars vs. Oklahoma State Cowboys (W)
polymarket
kalshi

What is the result of Southern Jaguars vs. Oklahoma State Cowboys?

Total volume:
$14,981
Volume 24h:
$2,149
82%
Liquidity:
$2,167
13%
Open interest:
$14,652
14%

Southern Jaguars vs. Oklahoma State Cowboys (W)

 - Polymarket

Southern Jaguars vs. Oklahoma State Cowboys (W) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Southern Jaguars vs. Oklahoma State Cowboys (W)

1%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 0.6¢ buys you 16,667 shares | Odds: 1% Total Payout: $16,667 | Net Profit: $16,567 Multiplier: 166.67x | ROI: 16,567% | APY: N/A
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

Southern Jaguars vs. Oklahoma State Cowboys (W)

Trade
1%
8%
Yes 0.6¢No 99.7¢
—
$2,167
$254
0%
N/A
N/A
0d 0h 0m
Active
kalshi

Oklahoma St.

View
100%
Yes 100¢No 0¢
—
N/A
$5,428
N/A
N/A
$5,428
23m
Yes
kalshi

Southern University

View
0%
1%
Yes 0¢No 100¢
—
N/A
$9,300
N/A
N/A
$9,224
23m
No
Total markets: 3

Description

This prediction group concerns the outcome of a women's college basketball game between the Southern Jaguars and the Oklahoma State Cowboys, scheduled for November 2, 2026. Predictors are attempting to forecast which team will win the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi defines a 'Yes' outcome for either team winning, while Polymarket focuses solely on determining the winner, with added rules for game postponements or cancellations.Hero tip: Prioritize Polymarket's resolution criteria as it provides a more comprehensive and standard approach to resolving sports outcomes, including handling potential disruptions.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game on November 2nd at 6:00PM ET. If the game is postponed, the market remains open until completion. If canceled, it resolves 50-50. Source: https://www.ncaa.com
  • Kalshi: The market resolves to 'Yes' if either Oklahoma State or Southern University wins the game originally scheduled for November 2, 2026. This creates a redundant 'Yes' outcome regardless of the winner.
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 Southern Jaguars and Oklahoma State Cowboys on November 2 at 6:00PM 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 winner of the women's college basketball game between Southern University and Oklahoma State, scheduled for November 2, 2026. If the game is postponed but starts within 48 hours of the original scheduled time, the market remains open and resolves based on the final result. If the game is cancelled or does not start within the 48-hour window, both markets resolve to a fair price. Kalshi is not associated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

Prediction market odds, like those found for this market, 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 prediction markets allow traders to freely express their beliefs. This can lead to discrepancies, especially when public opinion diverges from expert analysis. The volume of $14,981 traded on this event suggests significant interest and a potentially accurate forecast, which may or may not align with conventional betting lines.

Prices on Polymarket and Kalshi can diverge due to several factors. Each platform has its own user base, trading dynamics, and fee structure, which can influence price discovery. 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. Furthermore, the liquidity and volume on each platform differ; currently, this market has a volume of $14,981. Information flow and interpretation can also vary between the two venues, leading to differing probabilities assigned to the same event. These differences are a natural part of a decentralized prediction market ecosystem and provide opportunities for arbitrage.

This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be based on the official result of the Southern Jaguars vs. Oklahoma State Cowboys (W) game. Traders will be able to see the final outcome and any relevant supporting information on both Polymarket and Kalshi after the game concludes. The final price will reflect the actual event result, ensuring a transparent and verifiable outcome for all participants.

Several factors could influence the price of this market before Nov 2, 2026. Unexpected news regarding player injuries, coaching changes, or team performance could all shift market sentiment. Significant betting activity in traditional sportsbooks could also impact trading behavior on Polymarket and Kalshi. Any major upsets in other games involving these teams, or changes in weather forecasts, could also play a role. Monitoring these signals and analyzing their potential impact is key to understanding how this market might evolve.