TOTAL VOLUME:

$154.8b

24H VOL:

$277,138,640

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,905,404,943

412,077

Markets across

39,838

events

MATCHED EVENTS:

4,526

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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North Dakota State Bison vs. Gonzaga Bulldogs (W)
polymarket
kalshi

What is the result of North Dakota State Bison vs. Gonzaga Bulldogs?

Total volume:
$14,532
Volume 24h:
$14,442
24,800%
Liquidity:
$5
100%
Open interest:
$11,170
12,382%

North Dakota State Bison vs. Gonzaga Bulldogs (W)

 - Polymarket

North Dakota State Bison vs. Gonzaga Bulldogs (W) - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

North Dakota State Bison vs. Gonzaga Bulldogs (W)

58%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 98.9¢ buys you 101 shares | Odds: 58% Total Payout: $101 | Net Profit: $1 Multiplier: 1.01x | ROI: 1% | APY: N/A Low liquidity
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

North Dakota State Bison vs. Gonzaga Bulldogs (W)

Trade
58%
20%
Yes 98.9¢No 50.6¢
—
$5
$214
0%
N/A
N/A
0d 0h 0m
Active
kalshi

Gonzaga

100%
35%
Yes 100¢No 0¢
—
N/A
$11,716
N/A
N/A
$9,350
Settled
Yes
kalshi

North Dakota St.

0%
Yes 0¢No 100¢
—
N/A
$2,601
N/A
N/A
$1,820
Settled
No
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between North Dakota State Bison and Gonzaga Bulldogs, 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 positively for either team winning, creating a redundant and potentially misleading market structure.Hero tip: Consider the cancellation clause on Polymarket. If the game is canceled without a reschedule, Polymarket resolves 50-50, while Kalshi's logic doesn't address this scenario.

Critical divergence points:

  • Polymarket: Resolves based on the completion of the game on November 2nd at 9:00PM ET, with a 50-50 resolution if canceled without a make-up game. "This event is for the WBB game between North Dakota State Bison and Gonzaga Bulldogs on November 2 at 9:00PM 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 Gonzaga or North Dakota State wins the game. "If Gonzaga wins the North Dakota St. vs Gonzaga women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If North Dakota St. wins the North Dakota St. vs Gonzaga 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 North Dakota State Bison and Gonzaga Bulldogs on November 2 at 9:00PM 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 North Dakota St. and Gonzaga scheduled for Nov 2, 2026. If Gonzaga wins, the Gonzaga market resolves to Yes; if North Dakota St. wins, that market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, markets remain open and resolve 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 on Polymarket and Kalshi, often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and risk management, while this market is driven by individual predictions and the willingness to buy or sell contracts. This can lead to discrepancies, especially when public sentiment differs from expert analysis. The efficiency of this market means that odds tend to adjust quickly to new information, potentially providing an advantage over slower-moving sportsbook lines. Examining both can be a useful strategy for informed decision-making.

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. Prices on Polymarket and Kalshi may differ due to variations in trader participation, market design, and liquidity. Each platform attracts a different user base with varying levels of expertise and risk tolerance. Additionally, the specific rules and fees associated with each platform can influence trading behavior. For example, Polymarket might have a larger number of sophisticated traders focused on short-term price movements, while Kalshi could attract more long-term investors. These factors contribute to the observed price discrepancies in this market, reflecting the unique dynamics of each platform.

This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the college basketball game between North Dakota State and Gonzaga will be used to determine the winning outcome. The platform will verify the final score against widely available sports data sources to ensure an accurate and transparent resolution. All trades will be settled based on this verified result.

Several factors could influence trading activity in this market before Nov 3, 2026. News regarding player injuries, changes in team lineups, or significant shifts in public perception could all cause the odds to move. Unexpected coaching decisions or late-breaking information about team strategies could also impact the market. Major upsets in other college basketball games might also indirectly influence sentiment and trading volume, as bettors adjust their overall risk appetite. Monitoring these signals can provide insights into potential market movements.