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 14, 4:36 PM EST
Polymarket
This event group covers the outcome of the Parma Calcio 1913 vs. Catania FC match scheduled for August 14, 2026, focusing on win/draw/loss scenarios within regular play plus stoppage time.
This event is for the upcoming Coppa Italia game, scheduled for Friday, August 14, 2026 between Parma Calcio 1913 and Catania FC.
The market resolves based on the result of the Parma Calcio vs Catania professional Coppa Italia soccer game originally scheduled for Aug 14, 2026, after 90 minutes plus stoppage time (not including extra time or penalties). If Parma Calcio wins, the 'Parma Calcio' market resolves to Yes; if Catania wins, the 'Catania' market resolves to Yes; if the game ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to over 48 hours away, the market will resolve to a fair price in accordance with the rules. Kalshi is not affiliated with the Governing League, and all trademarks, logos, and brand names are the property of their respective owners.
Prediction market odds often differ from traditional sportsbook lines because they reflect crowd-sourced forecasts rather than bookmaker adjustments. In this market, probabilities are set by traders who buy and sell contracts based on their research and instincts. Sportsbook odds may include handling fees or favor certain outcomes for liability reasons. Comparing the two can reveal where public sentiment diverges from professional handicapping, offering insight into potential value bets or mispricings.
On Polymarket and Kalshi, prices can vary due to differences in user base, liquidity, and trading activity. 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. For example, one platform might attract more international traders who view the match differently from a domestic audience on the other. Additionally, varying levels of volume can amplify small shifts in sentiment, leading to divergent implied probabilities even when both markets track the same event.
Injuries to key players, changes in coaching strategy, or shifting weather conditions could all sway this market as the match nears. Media narratives and betting trends may also influence trader behavior, especially if new information emerges about team form or tactical plans. Any development that alters the perceived likelihood of each possible result can cause rapid shifts in implied probabilities on platforms tracking this market.