TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 10, 4:32 PM EST
Kalshi
This market tracks whether AE Kifisia FC will win their soccer match against Panathinaikos Athens, scheduled for August/September 2026. Currently, the consensus probability of AE Kifisia FC winning is 99.0%, as aggregated from Polymarket and Kalshi. Resolution will be based on the official result reported by https://www.slgr.gr/. Be sure to monitor the differing dates across platforms – specifically, the September 10, 2026 date – as it represents the end of the betting period on Kalshi and is key to final settlement.
This event is for the upcoming Greece Super League game, scheduled for Sunday, August 23, 2026 between Panathinaikos Athens and AE Kifisia FC.
The event resolves based on the result of the Panathinaikos vs Kifisia professional Greece Super League soccer match originally scheduled for September 10, 2026, after 90 minutes plus stoppage time. Three distinct markets correspond to the possible outcomes: Panathinaikos win, Kifisia win, or a tie. If the match concludes with a victory for either team within regular time, the respective market resolves to Yes. Should the game end in a tie after the same duration, the Tie market resolves to Yes. In the event the match 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’s rules. The resolution specifically excludes extra time and penalty shootout results, focusing solely on the outcome within the standard match duration.
Prices for this market may vary between Polymarket and Kalshi due to 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 has a different user base, trading volume, and liquidity, which can all influence price discovery. Additionally, the specific rules and fee structures of each platform can create discrepancies. For example, Polymarket might attract more sophisticated traders, leading to more efficient pricing, while Kalshi could have a broader audience with different risk appetites. These variations are normal and reflect the independent functioning of each prediction market.