TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 2:04 PM EST
Kalshi
This group forecasts the outcome of a Greece Super League soccer match between Olympiacos Piraeus and OFI Crete, scheduled for September 12, 2026. Markets exist for Olympiacos winning, OFI Crete winning, and the game ending in a draw. Resolution depends on the official match result after 90 minutes plus stoppage time.
This event is for the upcoming Greece Super League game, scheduled for Saturday, September 12, 2026 between Olympiacos Piraeus and OFI Crete.
The event resolves based on the result of the Olympiacos vs OFI Crete professional Greece Super League soccer match originally scheduled for September 12, 2026, after 90 minutes plus stoppage time. A market resolves to Yes if the specified team wins the match within this timeframe. 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 beyond the original date, all markets will resolve to a fair price. The outcome excludes results from extra time or penalty shootouts. Kalshi disclaims any official affiliation with the Governing League, and all trademarks remain property of their respective owners.
Differences in pricing between Polymarket and Kalshi for this market can stem from several factors. 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. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Greek Super League match. Trading volume also plays a role; Polymarket has a 24-hour volume of $200,773, while Kalshi’s volume is currently lower. Additionally, platform-specific rules and fee structures can influence trading behavior and, consequently, the displayed probabilities. These factors combine to create potentially divergent price discovery processes.