TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 10, 8:57 AM EST
Kalshi
This group forecasts the outcome of a 2. Bundesliga soccer match between VfL Osnabrück and SG Dynamo Dresden on October 10, 2026. Markets exist for Osnabrück winning, Dresden winning, and the game ending in a draw.
This event is for the upcoming 2. Bundesliga game, scheduled for Saturday, October 10, 2026 between VfL Osnabrück and SG Dynamo Dresden.
The event resolves based on the result of the Osnabruck vs Dresden professional Bundesliga 2 soccer match originally scheduled for October 10, 2026, after 90 minutes plus stoppage time, excluding extra time or penalty kicks. If Osnabruck wins the match within this timeframe, the 'Osnabruck' market resolves to Yes. If Dresden wins under the same conditions, the 'Dresden' market resolves to Yes. Should the match conclude in a tie after regulation time, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform rules. The resolution strictly adheres to the outcome within regular time, with no consideration for post-regulation proceedings such as extra time or penalty shootouts.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Prices on Polymarket and Kalshi can diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Osnabrück vs. Dresden match. Trading fees and platform-specific rules can also influence price discovery. Furthermore, the volume of trading on each platform – currently $79,157 overall – impacts liquidity and price stability. Discrepancies may also arise from differing interpretations of available data or simply short-term fluctuations in trading activity. These variations highlight the dynamic nature of prediction markets.