TOTAL VOLUME:
$154.3b
24H VOL:
$219,029,434
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,869,293,526
411,051
Markets across
40,408
events
MATCHED EVENTS:
4,377
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 11:30 AM EST
Predict
More markets for the Bundesliga game, scheduled for October 10 at 9:30 AM ET.
More markets for the Bundesliga game, scheduled for October 10 at 9:30 AM ET.
Typically, prediction market odds offer a different perspective than those found at sportsbooks. Sportsbooks incorporate a 'vig' or commission into their odds, ensuring a profit margin, whereas this market allows traders to directly assess probabilities. If prediction market odds significantly diverge from sportsbook odds, it may indicate disagreement about the likely outcome or differing levels of information available to each group. It’s common to find that this market, driven by collective intelligence, can be more accurate than traditional point spreads or over/under lines offered by sportsbooks, though past performance is not indicative of future results.
This market resolves around Oct 10, 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 Paderborn vs. Stuttgart match, as reported by a recognized sports data provider. The market will determine which outcome—a Paderborn win, a Stuttgart win, or a draw—is the correct result based on the final score and any applicable tie-breaking rules. Traders holding contracts on the winning outcome will be paid out according to the final market prices.
Several factors could influence this market before resolution. Any news regarding player injuries or suspensions for either Paderborn or Stuttgart would likely cause price movement. Significant changes in team form, tactical adjustments, or even weather conditions could also impact trader sentiment. Unexpected announcements about coaching changes or internal team dynamics could also contribute to shifts in the market. Furthermore, large trading volume from informed participants could signal new information or a change in expectations, leading to price adjustments in this market.