TOTAL VOLUME:

$154.8b

24H VOL:

$245,601,049

24H TRANSACTIONS:

2,985,204,718

OPEN INTEREST:

$1,897,405,322

408,349

Markets across

39,583

events

MATCHED EVENTS:

4,443

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Southeastern Louisiana Lions vs. LSU Tigers (W)
polymarket
kalshi

What is the result of Southeastern Louisiana Lions vs LSU Tigers?

Volume:
$10,660

LSU

 - Kalshi

LSU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 2, 2026

Closed: Nov 2, 9:03 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

View
100%
Yes 100¢No 0¢
—
N/A
$3,791
N/A
N/A
$3,451
Settled
Yes
kalshi

Southeastern Louisiana

0%
Yes 0¢No 100¢
—
N/A
$4,904
N/A
N/A
$3,228
Settled
No
polymarket

Southeastern Louisiana Lions vs. LSU Tigers (W)

0%
Yes 0¢No 100¢
—
N/A
$1,964
N/A
N/A
N/A
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between Southeastern Louisiana Lions and LSU Tigers, scheduled for November 2, 2026. The markets aim to determine which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Both platforms define a 'Yes' resolution for either team winning, rendering the market's predictive value limited. Polymarket adds rules for postponement and cancellation.Hero tip: Avoid taking strong directional positions. Polymarket offers a slight edge due to its handling of game postponement or cancellation.

Critical divergence points:

  • Polymarket: Resolves based on the outcome of the game on November 2nd at 7:00PM ET, with provisions for postponement (market remains open) and cancellation (50-50 resolution).
  • Kalshi: Resolves to 'Yes' if either LSU or Southeastern Louisiana wins the game. This makes the market effectively a 'guaranteed Yes' outcome.
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 Southeastern Louisiana Lions and LSU Tigers on November 2 at 7:00PM 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 to Yes for the respective team if they win the designated women's college basketball game. If the game is postponed but starts within 48 hours of the original time, the market stays 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.

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 to balance action, while this market is driven by traders directly expressing their beliefs. This can lead to discrepancies, especially when public sentiment strongly diverges from expert opinion. It’s common to see prediction markets incorporate information and adjust more quickly to new developments than sportsbooks, though both aim to accurately forecast the outcome.

Differences in prices between Polymarket and Kalshi can arise from several factors. 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. Each platform has a different user base with varying levels of expertise and access to information, which influences trading behavior. Trading volume also plays a role, as lower volume can lead to greater price volatility. Furthermore, the specific market design and fee structures on each platform can create slight discrepancies. These differences don't necessarily indicate disagreement about the ultimate outcome, but rather reflect the unique dynamics of each marketplace.

Several factors could influence the price of this market before the game is played. Any significant news regarding player injuries, coaching changes, or team performance could shift expectations. Unexpected weather forecasts impacting playing conditions could also cause movement. Furthermore, major shifts in public sentiment, perhaps driven by media coverage or social media trends, can influence trading activity. As the game approaches, even minor updates can have a noticeable effect on the probabilities reflected in this market.