TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 2:33 AM EST
Polymarket
Exact margin markets for Boise State vs. Fresno State.
Exact margin markets for Boise State vs. Fresno State.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing different margin outcomes, and the price of each share reflects the market’s collective belief about the probability of that outcome occurring. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if many traders believe a particular margin is likely, the price of shares representing that margin will increase. Conversely, if traders believe a margin is unlikely, the price will decrease. This dynamic pricing ensures the market reflects the most up-to-date information and insights.
This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point difference between Boise State and Fresno State will be used to determine the winning shares. The resolution will be based on the official result reported by the governing body of college football, ensuring a transparent and verifiable outcome. Traders will be able to claim their winnings once the result is officially confirmed and reflected in the market’s settlement process.
Several factors could influence trading activity in this market. News regarding key player injuries for either Boise State or Fresno State would likely cause significant shifts in the odds. Changes in weather forecasts, particularly if they suggest adverse conditions, could also impact the expected scoring. Unexpected coaching decisions or strategic adjustments announced before the game could also move the market. Finally, any significant public information released about team morale or preparation could influence traders’ perceptions and lead to price fluctuations.