TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 15, 4:29 AM EST
Kalshi
This event group covers two separate AFL matches between North Melbourne Kangaroos and Geelong Cats: a men's professional AFL game scheduled for August 15, 2026, and a women's AFLW match scheduled for August 14, 2026, at 11:00 PM ET. The outcomes of these distinct matches determine how each market resolves.
This market refers to the AFL Women match between North Melbourne Kangaroos and Geelong Cats, scheduled for August 14 at 11:00PM ET. This market will resolve to "North Melbourne Kangaroos" if North Melbourne Kangaroos is officially credited with the match win. This market will resolve to "Geelong Cats" if Geelong Cats is officially credited with the match win. The official final result will be used, including extra time when the competition uses it. If the official result is a draw, this market will resolve 50-50. If the match begins but is not completed, this market will resolve to a team only if that team is officially credited with the win; otherwise it will resolve 50-50. If the match does not begin, is canceled, or is delayed beyond 7 days from the scheduled date without beginning, this market will resolve 50-50. Resolution will be based on official Australian Football League results. If official results have not been published within 24 hours after the match concludes, a consensus of credible reporting may be used instead.
If Geelong Cats wins the Geelong Cats vs North Melbourne Kangaroos professional AFL game originally scheduled for Aug 15, 2026, then the market resolves to Yes. If North Melbourne Kangaroos wins the Geelong Cats vs North Melbourne Kangaroos professional AFL game originally scheduled for Aug 15, 2026, then the market resolves to Yes.
On Polymarket, traders set prices based on their own assessments and available information, which may differ from Kalshi’s user base and input flow. 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. This can lead to variations in implied probabilities, especially when one platform has more liquidity or active discussion around the teams. Currently, Polymarket and Kalshi show distinct leading outcomes, reflecting different trader confidence levels.