TOTAL VOLUME:

$154.4b

24H VOL:

$245,801,863

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,902,097,102

417,059

Markets across

40,178

events

MATCHED EVENTS:

4,415

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Brown Bears vs. Siena Saints (W)
⌛Ending Soon
polymarket
kalshi

What is the result of Brown Bears vs. Siena Saints (W)?

Total volume:
$30,271
Volume 24h:
$25,956
734%
Liquidity:
$232
89%
Open interest:
$25,911
524%

Siena

 - Kalshi

Siena - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Time left: 02h:14m:11s

Siena wins

55%chance
Amount

$

Trade on
kalshi

Trade on Kalshi

Join Kalshi and score $25 for your first trade.At 62¢ buys you 161 shares | Odds: 55% Total Payout: $161 | Net Profit: $61 Multiplier: 1.61x | ROI: 61% APY not meaningful
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
kalshi

Siena

Trade
55%
5%
Yes 62¢No 44¢
6¢
N/A
$16,709
27%
N/A
$14,339
2h 14m
Active
kalshi

Brown

40%
Yes 44¢No 62¢
6¢
N/A
$13,549
149%
N/A
$11,572
2h 14m
Active
polymarket

Brown Bears vs. Siena Saints (W)

38%
3%
Yes 45¢No 70¢
15¢
$232
$13
0%
N/A
N/A
0d 0h 0m
Active
Total markets: 3

Description

This event group concerns the outcome of a women's college basketball game between Brown Bears and Siena Saints, scheduled for November 2nd, 2026. The markets ask whether either team will win the game.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi's market resolves to 'Yes' if *either* team wins, making it a tautology. Polymarket has standard win/loss resolution.Hero tip: Focus on Polymarket as the more meaningful market. Kalshi's market is effectively a 'game happens' bet.

Critical divergence points:

  • Polymarket: The market resolves based on which team wins the game. If the game is postponed, the market remains open. If canceled, it resolves 50-50. "This event is for the WBB game between Brown Bears and Siena Saints on November 2 at 6:00PM ET."
  • Kalshi: The market resolves to 'Yes' if either Siena or Brown wins the game. "If Siena wins the Brown vs Siena women's college basketball game originally scheduled for Nov 2, 2026, then the market resolves to Yes. If Brown wins the Brown vs Siena 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 Brown Bears and Siena Saints on November 2 at 6:00PM 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 if the specified team wins the women’s college basketball game originally scheduled for November 2, 2026. If the game is postponed but begins within 48 hours of its originally scheduled start time, the market will remain open and resolve based on the official final result. If the game is cancelled or not started within 48 hours of its originally scheduled start, both markets will resolve to a fair price. Kalshi is not affiliated, associated, authorized, endorsed by, or in any way officially connected with the NCAA. All trademarks, logos, and brand names are the property of their respective owners.

Frequently asked questions

On Polymarket and Kalshi, this dashboard tracks the probability of different outcomes in the Brown vs. Siena women's basketball game. Currently, the aggregated volume across both platforms is $28,150, with $23,478 traded in the last 24 hours. The consensus view, as reflected by the combined probabilities, suggests a dynamic assessment of which team is favored to win. This allows users to see how the 'wisdom of the crowd' is pricing the event, offering a different perspective than traditional odds-making. This market provides a unique view of expectations surrounding the game.

Prediction market odds, like those found on Polymarket and Kalshi, often differ from traditional sportsbook odds due to the different incentives and information sources involved. Sportsbooks set odds to maximize profit, while prediction markets reflect the collective beliefs of traders who have 'skin in the game'. This can lead to prediction markets being more accurate, particularly when significant information isn't yet widely reflected in sportsbook lines. However, sportsbooks generally offer more markets and higher liquidity. This market provides an alternative way to assess the likely outcome of the Brown vs. Siena women's basketball game, alongside traditional betting options.

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 can diverge due to variations in user base, trading activity, and market-making strategies. Polymarket currently favors Brown Bears vs. Siena Saints (W) at 37.5%, while Kalshi leans toward Siena wins at 55.0%. Different liquidity levels on each platform also contribute to price discrepancies; a larger volume on one platform can create more price stability. Furthermore, the specific rules and fee structures of each platform can influence trader behavior and, consequently, the observed prices for this market.

This market resolves around Nov 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official score reported by the governing body for women’s college basketball. Traders will have until the resolution time to adjust their positions based on any new information that emerges. This market provides an opportunity to forecast the winner of the Brown vs. Siena women's basketball game based on the evolving probabilities.

Several signals could influence trading activity in this market. News regarding player injuries, changes in coaching strategies, or significant team performance shifts could all impact the perceived probabilities. Unexpected upsets in other games involving either Brown or Siena could also lead to adjustments in the market. Additionally, any public statements from key players or coaches could move the odds. Monitoring these factors will be crucial for anyone looking to trade in this market before it resolves.