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416,910

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SUNY-Old Westbury Panthers vs. Stony Brook Seawolves
predict
polymarket

Who will win SUNY-Old Westbury Panthers vs Stony Brook Seawolves?

Oct 26, 2026, 8:02 PM EST - Nov 2, 2026, 6:31 PM EST
Total volume:
$826
Volume 24h:
$7N/A
Liquidity:
$8,014
630%
Open interest:
$720N/A

SUNY-Old Westbury Panthers vs. Stony Brook Seawolves

all

2 markets

Predict

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

SUNY-Old Westbury Panthers vs. Stony Brook Seawolves

26%chance
Amount

$

Trade on
predict

Trade on Predict

At 26¢ buys you 385 shares | Odds: 26% Total Payout: $385 | Net Profit: $285 Multiplier: 3.85x | ROI: 285% | 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
predict

SUNY-Old Westbury Panthers vs. Stony Brook Seawolves

Trade
26%
Yes 26¢No 74¢
—
$4,159
$7
0%
N/A
N/A
0d 0h 0m
Active
polymarket

SUNY-Old Westbury Panthers vs. Stony Brook Seawolves

Trade
2%
Yes 0.1¢No 100¢
—
$3,856
$820
0%
N/A
N/A
0d 0h 0m
Disputed
PredictionHero
PH Consensus
2%
Yes 13.1¢No 87¢
Avg: —Max: —
Total markets: 2

Description

This event group concerns the outcome of a college basketball game between the SUNY-Old Westbury Panthers and the Stony Brook Seawolves on November 2nd. The markets resolve to the winning team, with a 50-50 split if the game is canceled and no makeup game is scheduled, and remaining open if the game is postponed.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms utilize the same resolution criteria: the winning team determines the outcome, with specific handling for cancellations and postponements.Primary resolution logic: https://www.ncaa.com/

Core resolution logic:

  • The market resolves to SUNY-Old Westbury Panthers if they win the game.
  • The market resolves to Stony Brook Seawolves if they win the game.
  • If the game is canceled with no makeup game, the market resolves 50-50.
  • If the game is postponed, the market remains open until the game is completed.

Edge cases & clarifications:

  • Cancellation: If the game is canceled entirely with no makeup game scheduled, the market will resolve to a 50-50 split.
  • Postponement: If the game is postponed, the market will remain open until the game is completed.
Timing: Resolution will occur after the official completion of the game, including any overtime periods, as reported by NCAA.com.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 CBB game between SUNY-Old Westbury Panthers and Stony Brook Seawolves on November 2 at 6:31PM 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.

Predict

This event is for the CBB game between SUNY-Old Westbury Panthers and Stony Brook Seawolves on November 2 at 6:31PM 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.

Frequently asked questions

On Polymarket and Predict, this dashboard tracks the consensus view on the outcome of the SUNY-Stony Brook basketball game. Currently, the aggregated volume across both platforms is $826, with $107 traded in the last 24 hours. This allows users to see how predictions are evolving and compare market sentiment with traditional sportsbooks. The dashboard provides a unified view of probabilities, aggregating data from multiple sources to give a comprehensive picture of expectations for this event. The current market indicates a fairly even split in predictions.

Prediction market odds, like those found on Polymarket and Predict, often reflect the collective wisdom of a diverse group of bettors, potentially offering a more accurate forecast than traditional sportsbooks. Sportsbooks set lines to balance action and ensure profit, while this market incentivizes participants to express their true beliefs about the outcome. Discrepancies can arise due to differing information access, biases, or simply the dynamics of each market. It's common to see prediction markets move faster to incorporate new information than sportsbooks, especially in response to breaking news or changing circumstances surrounding the SUNY-Stony Brook basketball game.

Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Predict on the SUNY-Stony Brook basketball game can stem from several factors. Each platform attracts a different user base with varying levels of expertise and access to information. Trading volume also plays a role; higher volume generally leads to tighter spreads and more efficient pricing. Furthermore, the specific rules and incentives on each platform can influence trading behavior. For example, Polymarket currently favors one outcome at 2.0%, while Predict leans toward a different outcome at 26.0%, illustrating these divergent perspectives.

This market resolves around Nov 2, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result of the SUNY-Stony Brook basketball game, as reported by official sources, will determine the winning outcome in this market. Traders should monitor official game results to understand when the market will be settled. The outcome will be based on the final score of the game, as determined by official statistics.

Several signals could influence the price of this market before Nov 2, 2026. Any news regarding player injuries, changes in team lineups, or coaching strategies could significantly impact trader sentiment. Unexpected developments in team performance during other games, or even weather conditions that might affect game play, could also shift the odds. Major media coverage or expert analysis predicting a specific outcome could also drive trading activity and move the market in a particular direction. Monitoring these factors will be key to understanding potential price fluctuations.