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%
Closed: Oct 24, 2:19 AM EST
Polymarket
Exact margin markets for NC State vs. Stanford.
Exact margin markets for NC State vs. Stanford.
On Polymarket, this market is priced through a continuous auction mechanism where traders can buy and sell shares representing different exact margins in the NC State vs. Stanford game. The price of each share reflects the market’s implied probability of that specific margin occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the prices converge towards what the market believes is the fair probability. The market’s depth – the number of shares available at each price point – also influences price movements, indicating the strength of conviction behind different outcomes.
This market resolves around Oct 24, 2026, with the outcome confirmed once the final score of the NC State vs. Stanford game is verifiable from credible public reporting. The market will settle to 100% probability for the exact margin that occurred in the game. Any discrepancies in reported scores will be assessed against official game data to ensure accurate resolution. Traders holding shares in the correct margin will receive a payout equivalent to their share multiplied by the market’s price at the time of resolution.
Several factors could influence the price of this market. Any news regarding injuries to key players on either the NC State or Stanford teams would likely cause significant movement. Changes in weather forecasts, particularly if they suggest conditions favoring one team’s playing style, could also impact trading activity. Late-breaking news about team strategies or coaching decisions might prompt traders to reassess their probabilities. Even public sentiment, reflected in social media or expert analysis, can contribute to shifts in the market’s pricing.