TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 3:37 PM EST
Polymarket
Exact margin markets for Wake Forest vs. NC State.
Exact margin markets for Wake Forest vs. NC State.
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.