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: Nov 1, 2:21 PM EST
Polymarket
In the upcoming Premier Division (Ireland) game between Bray Wanderers AFC and University College Dublin, originally scheduled for Sunday, November 1, 2026 at 10:00 AM ET (as of creation of the first market related to the event):
In the upcoming Premier Division (Ireland) game between Bray Wanderers AFC and University College Dublin, originally scheduled for Sunday, November 1, 2026 at 10:00 AM ET (as of creation of the first market related to the event):
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set their lines based on internal models and aim to balance action on both sides, while this market allows anyone to express their belief about the outcome. Discrepancies can arise from differing information sources, biases, or simply the dynamic nature of prediction markets as new information becomes available. It’s common to see shifts in this market as the event approaches and more data emerges, potentially diverging from initial sportsbook offerings.
This market resolves around Nov 1, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Bray Wanderers AFC versus University College Dublin match. The winning team, or a draw, will be determined by the official match statistics and reported by recognized sports news sources. The platform will then verify the result and settle the market accordingly, distributing payouts to traders who correctly predicted the outcome.
Several factors could influence the trading activity in this market. Any news regarding team injuries, changes in player lineups, or unexpected coaching decisions could significantly shift the perceived probabilities. Weather conditions on match day, particularly if they favor one team’s playing style, could also play a role. Furthermore, general sentiment and public opinion, as reflected in sports news and social media, can impact trading volume and price movements. Unexpected results in other matches involving these teams could also influence traders’ assessments.