TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 31, 1:56 PM EST
Kalshi
A professional Italy Serie B basketball game between two teams scheduled for May 31, 2026 at 12:00 PM EDT.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Dany Basket Quarrata vs Casale Monferrato market is priced through continuous order-book trading, where buyers and sellers set contract prices between 0 and 100 cents. Each cent represents one percentage point of implied probability. Traders can enter limit or market orders to express their view on the outcome. Kalshi's transparent, regulated framework ensures prices reflect genuine market consensus. Volume and bid-ask spreads indicate liquidity; tighter spreads suggest higher confidence and easier entry or exit for traders.
The Dany Basket Quarrata vs Casale Monferrato market resolves on May 31, 2026. Resolution is determined by the official final result of the basketball game between the two teams. The market will settle based on which team wins the matchup according to the governing sports authority. Traders should monitor official league sources and team announcements for any schedule changes, postponements, or other developments that could affect the resolution timeline.
Key catalysts for the Dany Basket Quarrata vs Casale Monferrato market include player injuries or roster changes, recent team form and head-to-head history, home-court advantage, and lineup announcements closer to tipoff. Weather conditions, travel schedules, and rest days can also influence performance. Media reports, coaching decisions, and betting syndicate activity may shift market prices. As May 31, 2026 approaches, final injury reports and starting lineups typically trigger the largest repricing. Monitor team social media and sports news outlets for updates that could alter trader expectations.