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419,363

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Lafayette Leopards vs. St. John's Red Storm (W)
polymarket
kalshi

What is the result of Lafayette vs St. John's?

Volume:
$32,163

St. John's

 - Kalshi

St. John's - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 2, 2026

Closed: Nov 2, 4:05 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

St. John's

View
100%
Yes 100¢No 0¢
—
N/A
$5,849
N/A
N/A
$5,539
Settled
Yes
kalshi

Lafayette

View
0%
Yes 0¢No 100¢
—
N/A
$26,314
N/A
N/A
$22,165
Settled
No
polymarket

Lafayette Leopards vs. St. John's Red Storm (W)

View
0%
4%
Yes 0¢No 100¢
—
N/A
N/A
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 Lafayette Leopards and St. John's Red Storm, scheduled for November 2nd, 2026. The markets resolve based on which team wins the game, or a 50-50 split if the game is canceled without a reschedule.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution criteria are logically inconsistent, stating both teams winning resolves the market to 'Yes'.Hero tip: Prioritize Polymarket's market as it follows standard win/loss resolution logic. Be cautious of Kalshi's market due to its flawed criteria.

Critical divergence points:

  • Polymarket: Resolves based on the winner of the game. "This event is for the WBB game between Lafayette Leopards and St. John's Red Storm on November 2 at 2:00PM ET."
  • Kalshi: Resolves to 'Yes' if either St. John's or Lafayette wins the game. "If St. John's wins...then the market resolves to Yes. If Lafayette wins...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 Lafayette Leopards and St. John's Red Storm on November 2 at 2:00PM 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 based on the official result of the women's college basketball game between Lafayette and St. John's scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of the original scheduled start time, the market remains open and resolves according to the final outcome. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets will resolve to a fair price. Kalshi states it is not affiliated with the NCAA, and all trademarks, logos, and brand names are property of their respective owners.

Frequently asked questions

Prediction market odds, like those found in 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 aggregate the beliefs of many individual traders. This can lead to discrepancies, especially when public opinion diverges from expert analysis. It’s common to see prediction markets move independently of sportsbook lines, responding to new information or shifts in sentiment among participants.

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. Different platforms attract different types of traders, leading to variations in pricing. Polymarket might have a user base more focused on short-term speculation, while Kalshi could attract longer-term investors. Additionally, each platform has its own fee structure and liquidity, influencing trading behavior. The volume on each platform also plays a role; higher volume generally leads to tighter spreads and more efficient price discovery. These factors can result in differing probabilities for the same event, even when both markets are tracking the same outcome.

Several factors could influence the price of this market before resolution. Any news regarding player injuries, changes in team lineups, or unexpected weather conditions could shift trader sentiment. Significant media coverage or public endorsements could also impact predictions. Furthermore, large trades on either Polymarket or Kalshi can create short-term price movements. Monitoring these signals and events will be key to understanding how this market evolves as the game approaches.