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%
WSG Tirol
- Polymarket
WSG Tirol - Polymarket
1W
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 8, 2026
Time left: 05d:11h:13m
$
In the upcoming Austria Bundesliga game between WSG Tirol and FK Austria Wien, originally scheduled for Sunday, November 8, 2026 at 8:30 AM ET (as of creation of the first market related to the event):
In the upcoming Austria Bundesliga game between WSG Tirol and FK Austria Wien, originally scheduled for Sunday, November 8, 2026 at 8:30 AM ET (as of creation of the first market related to the event):
Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook offerings. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs, potentially leading to more accurate probabilities as the event approaches. Discrepancies can emerge due to differing information access, biases, or simply the dynamic nature of a decentralized market responding to news and analysis. It’s common to see the prediction market odds converge with sportsbook odds as kickoff nears.
This market resolves around Nov 8, 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 Austrian Bundesliga match between WSG Tirol and FK Austria Wien. The winning team, or a draw, will be determined by the official match statistics and reported by recognized sports news sources. The platform will verify the result against these sources to ensure an accurate and transparent resolution process.
Several factors could influence the trading activity and shift the odds in this market. Any news regarding player injuries, suspensions, or changes in team lineups would likely have a significant impact. Unexpected weather conditions on match day could also affect the perceived advantage of either team. Furthermore, pre-match analysis from sports commentators, tactical previews, and even public sentiment expressed on social media can all contribute to shifts in market prices. Major upsets in other related matches could also indirectly influence trader behavior and move this market.