TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 24, 12:27 PM EST
Kalshi
Two teams play a German 3. Liga soccer match, with the winner determined by the final score after the full regulation time of the match.
The market resolves based on the result of the Stuttgart II vs Aachen German 3. Liga soccer match scheduled for Oct 24, 2026, after 90 minutes plus stoppage time. If Stuttgart II wins, the 'Stuttgart II' market resolves to Yes; if Aachen wins, the 'Aachen' market resolves to Yes; if the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours later, all markets resolve to a fair price.
Prediction market odds often differ from those offered by traditional sportsbooks, reflecting the wisdom of the crowd versus the assessments of professional oddsmakers. Sportsbooks typically set initial lines to balance action on both sides, while this market allows traders to freely express their beliefs, potentially leading to more accurate probabilities. Discrepancies can arise due to differing information sources, biases, or simply the dynamics of how each type of market operates. It's common to see this market adjust more rapidly to new information than sportsbook odds.
This market resolves around Oct 24, 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 Stuttgart II vs Aachen match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine which outcome corresponds to the actual event outcome. Traders holding contracts on the winning outcome will be paid out according to the final market price at resolution.
Several factors could influence trading in this market before Oct 24, 2026. Any news regarding team injuries, changes in coaching staff, or unexpected player suspensions could significantly shift expectations. Match previews from reputable sports analysts, and even public sentiment expressed on social media, can also play a role. Furthermore, early performance in the match itself, if available during live trading, would likely cause rapid adjustments in the market price. Unexpected weather conditions could also be a catalyst for movement.