TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 7:37 PM EST
Polymarket
Exact margin markets for Syracuse vs. UConn.
Exact margin markets for Syracuse vs. UConn.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in each possible exact margin. The price of a share directly corresponds to the probability of that margin occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information emerges, the prices of these shares fluctuate, reflecting the evolving consensus. The market’s depth and liquidity are key indicators of its reliability, and the current trading volume provides insight into the level of confidence in each potential outcome.
This market resolves around Oct 3, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score margin between Syracuse and UConn will be used to determine the winning shares. The resolution will be based on the official results reported by the governing body of the game, ensuring a transparent and objective outcome. Traders will be able to claim their winnings once the resolution is finalized on Polymarket. It's important to monitor the event closely as the resolution date approaches to stay informed about any potential delays or updates.
Several signals or events could significantly move this market before it resolves. Any news regarding key player injuries or suspensions for either Syracuse or UConn would likely cause shifts in the odds. Changes in coaching strategies or unexpected team performance in preceding games could also influence trader sentiment. Furthermore, weather conditions on game day, especially if they are unusual or extreme, might impact the predicted score margin. Finally, any significant public information, such as expert analysis or updated team statistics, could lead to adjustments in the prices within this market.