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$154.4b

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$290,393,159

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$1,944,100,805

420,493

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40,511

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4,612

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5

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Wake Forest vs. NC State - Exact Margin
polymarket

What is the result of Wake Forest vs. NC State?

Volume:
N/A

Exact Margin: Wake Forest by 1-6

 - Polymarket

Exact Margin: Wake Forest by 1-6 - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 10, 2026

Closed: Oct 10, 3:37 PM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Exact Margin: Wake Forest by 1-6

View
0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Wake Forest by 7-12

0%
98%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Wake Forest by 13-18

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Wake Forest by 19-24

100%
2%
Yes 100¢No 0¢
—
N/A
N/A
N/A
N/A
N/A
Settled
Yes
polymarket

Exact Margin: Wake Forest by 25+

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: Tie

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: NC State by 1-6

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: NC State by 7-12

0%
99%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: NC State by 13-18

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: NC State by 19-24

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Exact Margin: NC State by 25+

0%
Yes 0¢No 100¢
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

Exact margin markets for Wake Forest vs. NC State.

Polymarket

Exact margin markets for Wake Forest vs. NC State.

Frequently asked questions

Typically, prediction market odds reflect a similar expectation to sportsbook odds, but can sometimes diverge due to differences in user base and information access. Sportsbooks set lines to balance action and incorporate a profit margin, while this market represents the aggregate beliefs of informed traders. If a significant discrepancy exists, it might indicate that prediction market participants have access to information not yet fully priced into sportsbook lines, or that they interpret available information differently. It's common to see prediction markets move more quickly than sportsbooks in response to breaking news or injury updates.

On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the final point difference between Wake Forest and NC State. The price of each share directly corresponds to the probability of that specific margin being the correct outcome. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and express their views, the price adjusts to reflect the collective prediction. Higher volume generally indicates greater confidence in a particular outcome, while price fluctuations signal changing expectations based on new information or analysis. This dynamic pricing ensures the market reflects the most up-to-date assessment of the game’s likely result.

This market resolves around Oct 10, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point margin between Wake Forest and NC State, as officially recorded by game officials, will determine the winning shares. The resolution will be based on the official game statistics and will be publicly available following the conclusion of the game. Traders will be able to view the final result and claim their winnings based on the accuracy of their predictions. Any disputes regarding the final score will be resolved using established sports reporting standards.

Several factors could influence the price of shares in this market before the game concludes. Any news regarding injuries to key players on either Wake Forest or NC State would likely cause significant movement. Changes in weather forecasts, particularly if they suggest adverse playing conditions, could also impact predictions. Late-breaking news about team strategies or coaching decisions might also lead to shifts in sentiment. Furthermore, large volume trades from informed participants could signal new information or a change in overall market perception, potentially driving price adjustments in this market.