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Purdue Fort Wayne Mastodons vs. DePaul Blue Demons (W)
kalshi
polymarket

What is the result of Purdue Fort Wayne vs DePaul?

Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
$30
0%
Open interest:
$0N/A

Purdue Fort Wayne Mastodons vs. DePaul Blue Demons (W)

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 6, 2026

Time left: 03d:15h:45m

Purdue Fort Wayne Mastodons vs. DePaul Blue Demons (W)

50%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 99¢ buys you 101 shares | Odds: 50% Total Payout: $101 | Net Profit: $1 Multiplier: 1.01x | ROI: 1% | APY: 108% Low liquidity 3 days to resolution
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

Purdue Fort Wayne Mastodons vs. DePaul Blue Demons (W)

Trade
50%
Yes 99¢No 99¢
98¢
$30
N/A
N/A
N/A
N/A
3d 15h 45m
Active
kalshi

DePaul

Trade
N/A
N/A
88¢
N/A
N/A
N/A
N/A
N/A
3d 18h 45m
Active
PredictionHero
PH Consensus
N/A
N/A
Avg: 93¢Max: 98¢
kalshi

Purdue Fort Wayne

Trade
N/A
N/A
89¢
N/A
N/A
N/A
N/A
N/A
3d 18h 45m
Active
Total markets: 3

Description

This event group concerns a women's college basketball game between Purdue Fort Wayne Mastodons and DePaul Blue Demons scheduled for November 6, 2026. The markets ask who will win the game, with provisions for cancellation or abandonment.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi markets resolve 'Yes' for either team winning, while Polymarket requires a definitive winner determined by sources before abandonment, or a 50-50 split on cancellation/abandonment.Hero tip: Kalshi's market is effectively a 'will there be a winner?' question, while Polymarket is a 'who will win?' question. Account for cancellation probability when trading.

Critical divergence points:

  • Polymarket: Resolves based on a definitive winner determined by the listed resolution sources before abandonment, with a 50-50 split on cancellation/abandonment. "If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand."
  • Kalshi: Resolves to 'Yes' if either DePaul or Purdue Fort Wayne wins the game. "If DePaul wins...then the market resolves to Yes. If Purdue Fort Wayne 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

In the upcoming CWBB game between Purdue Fort Wayne Mastodons and DePaul Blue Demons, originally scheduled for Friday, November 6, 2026 at 12:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Sunday, November 8, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.

Kalshi

The event determines the winner of the Purdue Fort Wayne versus DePaul women's college basketball game scheduled for November 6, 2026. If either team secures a victory in the officially played match, the corresponding market resolves accordingly. Should the game be postponed but commence within 48 hours of its original scheduled start time, the market remains active and resolves based on the final official result. If the game is cancelled or fails to start within this 48-hour window, both markets resolve to a fair price, ensuring equitable treatment for all participants under these contingency conditions.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes in the Purdue vs. DePaul basketball game. Currently, the consensus view across these platforms indicates a roughly even chance for either team to win, with a combined volume of $0. This allows users to see where the crowd believes the most likely result will be. The market aggregates data from both venues, providing a comprehensive overview of expectations. Traders on each platform express their beliefs by buying and selling contracts representing each possible outcome, influencing the displayed probabilities.

Prediction market odds, like those found in this market, 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 aim to balance action on both sides, while prediction markets are driven by individual beliefs. This can lead to discrepancies, particularly when public sentiment strongly diverges from expert analysis. While sportsbooks may incorporate factors like team news and injuries, prediction markets can quickly adapt to new information as it becomes available through trader activity. Comparing the odds can provide valuable insights for informed decision-making.

This market resolves around Nov 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result of the Purdue vs. DePaul basketball game will be used to determine the winning outcome. The final score, as reported by official sources, will be the basis for settlement. Traders will be able to claim their winnings based on the outcome as determined by the official results of the game. This market provides a way to forecast the result of this contest.

Several signals could significantly impact this market before it resolves around Nov 6, 2026. Key player injuries or suspensions on either the Purdue or DePaul teams would likely cause shifts in probabilities. Unexpected coaching changes or significant changes in team performance leading up to the game could also influence trader sentiment. Major news regarding team morale or internal conflicts could also play a role. Finally, any updates on the game’s location or time, or even changes in broader basketball narratives, could impact how traders assess the likely outcome of the Purdue vs. DePaul basketball game.