TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Milwaukee Panthers vs. Northwestern Wildcats (W)
⌛Ending Soon
polymarket
kalshi

What is the result of Milwaukee Panthers vs. Northwestern Wildcats?

Total volume:
$28
Volume 24h:
$0
100%
Liquidity:
$268
5,052%
Open interest:
$28
0%

Milwaukee

 - Kalshi

Milwaukee - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 3, 2026

Time left: 01d:04h:57m

Milwaukee wins

24%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 19¢ buys you 526 shares | Odds: 24% Total Payout: $526 | Net Profit: $426 Multiplier: 5.26x | ROI: 426% APY not meaningful
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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Milwaukee

Trade
24%
Yes 19¢No 93¢
12¢
N/A
$0
0%
N/A
$0
1d 4h 57m
Active
kalshi

Northwestern

Trade
35%
Yes 87¢No 14¢
1¢
N/A
$28
0%
87%
$28
1d 4h 57m
Active
polymarket

Milwaukee Panthers vs. Northwestern Wildcats (W)

Trade
46%
5%
Yes 90¢No 99¢
89¢
$268
N/A
N/A
N/A
N/A
1d 1h 57m
Active
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between the Milwaukee Panthers and the Northwestern Wildcats, scheduled for November 3, 2026. The markets aim to determine which team wins the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's resolution logic is flawed, resolving to 'Yes' regardless of which team wins, while Polymarket follows standard win/loss resolution.Hero tip: Focus trading activity on Polymarket as Kalshi's market is not a meaningful prediction.

Critical divergence points:

  • Polymarket: The market resolves based on the winner of the game, with a contingency for postponement (market remains open) and cancellation (50-50 split). "This event is for the WBB game between Milwaukee Panthers and Northwestern Wildcats on November 3 at 8:00PM ET."
  • Kalshi: The market resolves to 'Yes' if either Northwestern or Milwaukee wins. "If Northwestern wins the Milwaukee vs Northwestern women's college basketball game originally scheduled for Nov 3, 2026, then the market resolves to Yes. If Milwaukee wins the Milwaukee vs Northwestern women's college basketball game originally scheduled for Nov 3, 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 Milwaukee Panthers and Northwestern Wildcats on November 3 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 that team wins the women's college basketball game originally scheduled for November 3, 2026. If the game is postponed but begins within 48 hours of its 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.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes for the Milwaukee vs. Northwestern game. Currently, the aggregated volume across both platforms is $28, with $0 traded in the last 24 hours. The consensus view, based on trading activity, indicates a strong expectation for one team to win, though opinions differ between the two venues. This allows users to see where the 'crowd' believes the game is headed and compare this to traditional odds-making.

Prediction market odds, like those found here, often reflect a more diverse range of information than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the wisdom of many individual traders. This can lead to differences in probabilities, especially as new information emerges. The collective intelligence of the crowd often provides a more accurate forecast, though sportsbooks may offer more competitive pricing on certain outcomes. It’s valuable to compare both to inform your own predictions.

Prices on Polymarket and Kalshi can diverge due to several 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 rules, and fee structure, which can influence price discovery. Furthermore, differing levels of volume on each platform can lead to price discrepancies. Currently, Polymarket currently favors Milwaukee Panthers vs. Northwestern Wildcats (W) at 45.5%, while Kalshi leans toward Northwestern wins at 35.0%. These differences highlight the dynamic nature of prediction markets and the importance of considering multiple sources.

This market resolves around Nov 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the Milwaukee vs. Northwestern game will be used to determine the winning outcome. The platform will verify the result against widely available and trusted sources to ensure accuracy and fairness. Traders will then be able to claim their winnings based on the outcome of this market.

Several factors could influence trading activity and shift the probabilities in this market. Any news regarding team injuries, changes in player availability, or unexpected coaching decisions could significantly impact the perceived likelihood of each outcome. Weather conditions on game day, or even significant shifts in public sentiment, could also play a role. As the game approaches, increased media coverage and analysis will likely drive more volume and potentially lead to more volatile price movements.