TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

Markets across

40,345

events

MATCHED EVENTS:

4,363

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Le Moyne Dolphins vs. SMU Mustangs (W)
โŒ›Ending Soon
polymarket
kalshi

What is the result of Le Moyne Dolphins vs. SMU Mustangs?

Total volume:
$176
Volume 24h:
$0
100%
Liquidity:
$156
2,907%
Open interest:
$176
0%

SMU

ย - Kalshi

SMU - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

ยท

Resolves Nov 3, 2026

Time left: 01d:05h:47m

SMU wins

90%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 94ยข buys you 106 shares | Odds: 90% Total Payout: $106 | Net Profit: $6 Multiplier: 1.06x | ROI: 6% APY not meaningful
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

SMU

Trade
90%
Yes 94ยขNo 10ยข
4ยข
N/A
$176
0%
45%
$176
1d 5h 47m
Active
kalshi

Le Moyne

14%
Yes 9ยขNo 96ยข
5ยข
N/A
$0
0%
N/A
$0
1d 5h 47m
Active
polymarket

Le Moyne Dolphins vs. SMU Mustangs (W)

49%
Yes 97ยขNo 99ยข
96ยข
$156
N/A
N/A
N/A
N/A
1d 2h 47m
Active
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between Le Moyne Dolphins and SMU Mustangs scheduled for November 3rd. The markets aim to determine which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's logic resolves 'Yes' if *either* team wins, while Polymarket focuses on a single winning team.Hero tip: Consider the implications of Kalshi's 'either team wins' logic when assessing probabilities and potential payouts. Polymarket offers a more traditional win/loss market.

Critical divergence points:

  • Polymarket: The market resolves based on the winner of the game between Le Moyne and SMU. "This event is for the WBB game between Le Moyne Dolphins and SMU Mustangs on November 3 at 7:30PM ET."
  • Kalshi: The market resolves to 'Yes' if *either* Le Moyne or SMU wins the game. "If SMU wins...Yes. If Le Moyne wins...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 Le Moyne Dolphins and SMU Mustangs on November 3 at 7:30PM 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 specified team if they win the women's college basketball game originally scheduled for November 3, 2026. In the event of a postponement, provided the game begins within 48 hours of the scheduled start, the market remains open and resolves based on the official result. If the game is cancelled or does not start within 48 hours of the scheduled time, both markets resolve to a fair price. Kalshi is unaffiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

This dashboard aggregates real-time predictions on the Le Moyne vs. SMU game from multiple platforms, currently Polymarket and Kalshi. It displays a consensus view of the probability of various outcomes, reflecting the collective wisdom of traders. Currently, the total volume across these platforms is $176, with $0 traded in the last 24 hours. By tracking these markets, you can gain insights into how predictions are evolving as new information becomes available. The dashboard provides a comprehensive look at the perceived likelihood of different results in the game.

Prediction market odds often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set lines to balance action and ensure profit, while prediction markets are driven by individuals betting on their beliefs. This can lead to prediction markets incorporating a wider range of information and potentially being more accurate, especially when there's significant public interest. However, sportsbooks may offer more competitive pricing on mainstream outcomes. The efficiency of this market will be reflected in how closely it tracks the perceived probability of each team winning.

On Polymarket, traders set the odds by directly bidding on outcomes, while Kalshi uses a different mechanism. 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. This difference in market mechanics can lead to price discrepancies, even when both platforms are tracking the same event. Additionally, differing user bases and liquidity levels on each platform can contribute to variations in pricing. Currently, Polymarket currently favors Le Moyne Dolphins vs. SMU Mustangs (W) at 49.0%, while Kalshi leans toward SMU wins at 90.0%. These differences reflect the unique perspectives and trading activity on each platform.

This market resolves around Nov 4, 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 Le Moyne vs. SMU game, as reported by a recognized sports authority. The winning team will determine the outcome of this market. Traders should monitor official sources for the final result, as this will be used to settle all outstanding positions. The final score and official game results will be used to verify the outcome.

Several factors could influence the price of this market before resolution. Any news regarding team injuries, changes in coaching staff, or significant shifts in player performance could impact predictions. Unexpected weather conditions or other external factors affecting game play could also cause movement. Public sentiment and media coverage surrounding the teams can also play a role, as these influence trader perceptions. Monitoring these signals will be key to understanding how this market evolves as the game approaches and potentially identifying advantageous trading opportunities.