TOTAL VOLUME:

$154.3b

24H VOL:

$219,029,434

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,869,293,526

411,051

Markets across

40,408

events

MATCHED EVENTS:

4,377

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Insights
Indices
API
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Elections
Crypto
Companies
Financials
Economics
Other
Entertainment
Science and Technology
Regent Royals vs. Norfolk State Spartans
⌛Ending Soon
predict
polymarket

Who will win Regent Royals vs Norfolk State Spartans?

Oct 26, 2026, 9:01 PM EST - Nov 2, 2026, 8:00 PM EST
Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
$60
0%
Open interest:
N/AN/A

Regent Royals vs. Norfolk State Spartans

all

2 markets

Polymarket

Predict

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 2, 2026

Time left: 05h:02m:27s

Regent Royals vs. Norfolk State Spartans

100%chance
Amount

$

Trade on
polymarket

Trade on Polymarket

At 50¢ buys you 200 shares | Odds: 100% Total Payout: $200 | Net Profit: $100 Multiplier: 2.00x | ROI: 100% | APY: N/A Illiquid market
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

Regent Royals vs. Norfolk State Spartans

Trade
100%
50%
Yes 100¢No 50¢
—
$60
N/A
N/A
N/A
N/A
5h 2m
Active
predict

Regent Royals vs. Norfolk State Spartans

Trade
N/A
N/A
80¢
N/A
N/A
N/A
N/A
N/A
5h 2m
Active
PredictionHero
PH Consensus
N/A
N/A
Avg: 80¢Max: 80¢
Total markets: 2

Description

This prediction group concerns the outcome of a college basketball game between the Regent Royals and the Norfolk State Spartans on November 2nd. The market resolves to the winning team, with a 50-50 split if the game is canceled without a reschedule.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms utilize the same resolution criteria, focusing on the game's outcome and handling cancellations consistently.Primary resolution logic: https://www.ncaa.com/

Core resolution logic:

  • The market resolves to 'Regent Royals' if the Regent Royals win the game.
  • The market resolves to 'Norfolk State Spartans' if the Norfolk State Spartans win the game.
  • If the game is canceled entirely without a rescheduled date, the market resolves 50-50.
  • If the game is postponed, the market remains open until the game is completed.

Edge cases & clarifications:

  • Postponement: If the game is postponed, the market will remain open until the game is completed.
  • Cancellation: If the game is canceled entirely with no make-up game, the market will resolve 50-50.
Timing: Resolution will occur after the official completion of the game, 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 Regent Royals and Norfolk State Spartans on November 2 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.

Predict

This event is for the CBB game between Regent Royals and Norfolk State Spartans on November 2 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.

Frequently asked questions

On Polymarket and Predict, this dashboard tracks the probability of different outcomes for the Regent vs. Norfolk State game. Currently, the aggregated view shows a combined volume of $0 across both platforms. This allows users to see a consensus view of predictions, though individual platforms may have differing probabilities. The dashboard provides a real-time overview of how the market is interpreting the likelihood of various results, reflecting the collective wisdom of traders on each platform. It’s a dynamic representation of expectations leading up to the event.

Prediction market odds, like those found on Polymarket and Predict, often offer a distinct perspective compared to traditional sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring profit regardless of the outcome. Prediction markets, however, function more as a true probability assessment, as traders directly bet on the likelihood of an event. This market’s odds can reflect information and insights not fully captured by sportsbooks, potentially providing a more accurate forecast. The volume of $0 in the last 24 hours demonstrates active trading and evolving sentiment.

This market is scheduled to resolve around Nov 3, 2026, with the outcome determined by the final result of the Regent vs. Norfolk State game. The result will be verified against credible public reporting of the game’s official score. Traders will then be able to claim their winnings based on whether their predictions aligned with the actual outcome. This process ensures a transparent and verifiable resolution to the market, reflecting the real-world event.

Several signals could significantly impact this market before it resolves around Nov 3, 2026. Any news regarding key player injuries or suspensions for either the Regent Royals or the Norfolk State Spartans would likely cause shifts in the predicted probabilities. Unexpected coaching changes, significant changes in team performance during prior games, or even weather forecasts impacting game conditions could also influence trading activity. Public sentiment, reflected in social media or expert analysis, can also contribute to price movements as traders adjust their positions based on new information.