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 7, 5:06 PM EST
Kalshi
Palermo faces Sampdoria in a dramatic Serie B showdown. The game will feature high-pressure moments and strategic adjustments, with both clubs aiming to claim bragging rights.
Markets resolve based on the match outcome after 90 minutes plus stoppage time, excluding extra time or penalties. A win for either team resolves the respective market to Yes, while a tie resolves the Tie market to Yes. If the game is cancelled or rescheduled beyond 48 hours, markets resolve to a fair price.
Prediction market odds in this market often differ from traditional sportsbook lines due to unique trader dynamics and betting constraints. While sportsbooks may incorporate broader public betting patterns and adjusted margins, prediction markets let participants bet directly on their outlook, sometimes producing sharper or more volatile prices. Comparing the two can reveal differences in implied probabilities and market efficiency.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the odds for each possible outcome through buying and selling contracts. The current chance percentages reflect the aggregated beliefs of all participants, with prices adjusting dynamically based on trading volume and new information. This decentralized pricing mechanism allows for rapid updates as the event timeline progresses.
This market resolves around Sep 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result will be determined by the official match conclusion, and the market will close accordingly, settling all open positions based on the verified score or result.
Injuries to key players, weather conditions, or shifting team form could all impact this market as the match nears. Media reports, coach statements, and pre-game betting trends may also cause price swings. Any new information that alters the perceived likelihood of each possible result can lead traders to adjust their positions, moving the market odds in response.