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408,127

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4,429

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5

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San Diego Toreros vs. New Mexico State Aggies (W)
polymarket
kalshi

What is the result of San Diego Toreros vs. New Mexico State Aggies?

Volume:
$7,407

San Diego

 - Kalshi

San Diego - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Nov 3, 2026

Closed: Nov 2, 10:17 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

San Diego

View
100%
31%
Yes 100¢No 0¢
—
N/A
$4,230
N/A
N/A
$4,100
Settled
Yes
polymarket

San Diego Toreros vs. New Mexico State Aggies (W)

View
100%
63%
Yes 100¢No 0¢
—
N/A
$265
N/A
N/A
N/A
Settled
Yes
kalshi

New Mexico St.

View
0%
31%
Yes 0¢No 100¢
—
N/A
$2,912
N/A
N/A
$2,671
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between the San Diego Toreros and the New Mexico State Aggies, originally scheduled for November 2, 2026. The markets resolve based on which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Both platforms resolve to 'Yes' regardless of which team wins, making the market's resolution criteria unclear and potentially leading to a double resolution.Hero tip: Be cautious trading this market. The 'Yes' outcome is guaranteed regardless of the winner, making it essentially a market on the game happening. Consider focusing on markets with more distinct outcomes.

Critical divergence points:

  • Polymarket: Resolves based on the completion of the game, with a 50-50 split if canceled. "This event is for the WBB game between San Diego Toreros and New Mexico State 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: Resolves to 'Yes' if either team wins the game. "If New Mexico St. wins the San Diego vs New Mexico St. women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If San Diego wins the San Diego vs New Mexico St. 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 San Diego Toreros and New Mexico State 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 to Yes for the respective team if they win the women's college basketball game originally scheduled for November 2, 2026. If the game is postponed but commences within 48 hours of the original start time, the market remains open and resolves based on the final 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 not affiliated with the NCAA, and all trademarks belong to their respective owners.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the consensus view on the outcome of the San Diego–New Mexico State game. Currently, the aggregated volume across both platforms is $7,407, with $6,157 traded in the last 24 hours. This allows traders to see where the crowd believes the probability lies for each team winning. The dashboard displays a combined view of probabilities, offering a comprehensive look at market sentiment. It’s a useful tool for anyone interested in understanding how prediction markets are assessing the potential results of this matchup.

Prediction market odds, like those found on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of bettors, 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 anyone to trade and express their beliefs. This can lead to discrepancies, as prediction markets may incorporate information not fully captured by sportsbook algorithms. However, both aim to accurately predict the outcome, and comparing the two can be a valuable exercise for informed decision-making regarding this market.

Prices for this market may differ between Polymarket and Kalshi due to a variety of 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 its own user base, trading dynamics, and fee structure, all of which can influence price discovery. Differences in liquidity, or the volume of trading activity, can also contribute to price discrepancies. Furthermore, the way each platform handles margin requirements and order types can impact how traders behave. While both platforms ultimately aim to reflect the true probability of the outcome, these differences can lead to temporary variations in pricing.

Several signals or events could significantly move this market before it resolves. Any news regarding player injuries, changes in coaching staff, or unexpected team performance in preceding games could influence trader sentiment. Major upsets in other relevant games, or shifts in public perception of either team’s strength, could also play a role. Additionally, large-volume trades on either Polymarket or Kalshi can create momentum and drive price movements. Monitoring these factors can provide insights into potential shifts in the market’s assessment of the game’s outcome.