TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Stanford Cardinal vs. Arizona Wildcats (W)
polymarket
kalshi

What is the result of Stanford Cardinal vs. Arizona Wildcats?

Total volume:
$390,607
Volume 24h:
$388,688
94,455%
Liquidity:
$5,470
130%
Open interest:
$218,811
11,378%

Stanford Cardinal vs. Arizona Wildcats (W)

 - Polymarket

Stanford Cardinal vs. Arizona Wildcats (W) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Stanford Cardinal vs. Arizona Wildcats (W)

7%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 0.1¢ buys you 100,000 shares | Odds: 7% Total Payout: $100,000 | Net Profit: $99,900 Multiplier: 1000.00x | ROI: 99,900% | 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

Stanford Cardinal vs. Arizona Wildcats (W)

Trade
7%
55%
Yes 0.1¢No 100¢
—
$5,470
$1,586
0%
N/A
N/A
0d 0h 0m
Disputed
kalshi

Arizona

View
100%
Yes 100¢No 0¢
—
N/A
$196,257
N/A
N/A
$122,635
Settled
Yes
kalshi

Stanford

View
0%
Yes 0¢No 100¢
—
N/A
$192,764
N/A
N/A
$96,175
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between Stanford and Arizona, originally 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 resolve 'Yes' if either team wins, creating a potential for dual resolution and reducing market information content.Hero tip: Be cautious trading on either market due to the dual-resolution logic. Consider focusing on markets with a clear single-winner resolution.

Critical divergence points:

  • Polymarket: Resolves based on which team wins the game. Description provides game details and postponement/cancellation rules: "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 Arizona or Stanford wins the game. "If Arizona wins the Stanford vs Arizona women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If Stanford wins the Stanford vs Arizona 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 Stanford Cardinal and Arizona Wildcats on November 2 at 12:30PM 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

Resolution depends on the official result of the Stanford vs Arizona women’s college basketball game scheduled for November 2, 2026. If Arizona wins, the Arizona market resolves to Yes; if Stanford wins, its market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve per the final outcome. If the game is cancelled or does not start within 48 hours, both markets resolve to a fair price. Kalshi states it has no official ties to the NCAA, and all trademarks remain with their respective owners.

Frequently asked questions

On PredictionHero, this dashboard aggregates forecasts for the Stanford-Arizona game from multiple prediction markets, including Polymarket and Kalshi. It displays a consensus view of the probabilities for various outcomes, currently showing a combined volume of $390,607. This allows users to see how traders across different platforms are pricing the likelihood of each result. The dashboard provides a unified interface to track the evolving predictions for the Stanford-Arizona game, offering insights beyond any single market. It’s a valuable tool for understanding the collective wisdom of the crowd.

Prediction market odds, like those found on Polymarket and Kalshi, often reflect a different kind of information than traditional sportsbook odds. Sportsbooks set lines to balance action and incorporate a profit margin, while prediction markets are driven by individuals betting their own capital based on their beliefs. This can lead to prediction markets being more accurate forecasters, particularly when there’s significant public information available. However, sportsbooks generally offer more markets, and liquidity in prediction markets for this event is currently at $388,677. Both sources offer valuable insights, but they operate under different incentives and methodologies.

This market is scheduled to resolve around Nov 2, 2026, following the completion of the Stanford-Arizona game. The outcome will be determined by the official result reported by credible public sources, verifying the winning team. The resolution process relies on publicly available data to ensure an objective and verifiable outcome for this market. Traders will be able to see the final result and settlement details on PredictionHero once the event’s outcome is confirmed.

Several signals could significantly impact this market before Nov 2, 2026. Any news regarding injuries to key players on either the Stanford or Arizona teams would likely cause price shifts. Changes in coaching strategies or unexpected team performance in preceding games could also influence trader sentiment. External factors, such as weather conditions on game day, might also play a role. Monitoring news sources and analyzing team statistics will be crucial for understanding potential market movements.