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 14, 2:32 PM EST
Kalshi
This market tracks the outcome of the Como vs Parma Calcio soccer match. Currently, the consensus probability of Como winning is 99.0%. This aggregate reflects predictions from Polymarket, Predict, and Kalshi, and will resolve based on official league statistics from LegA Serie A (napoli.com/legaseriea.it) and BFL Union (bfunion.bg). Parma Calcio winning has a 1.0% probability. Keep an eye on the match itself, as resolution will occur within 2 hours after the game concludes on September 13, 2026, the estimated end date of the betting period.
More markets for the Bulgaria Parva Liga game, scheduled for August 30 at 2:15 PM ET.
The event resolves based on the full-time result of the Como vs Parma Calcio professional Serie A soccer match scheduled for September 13, 2026, after 90 minutes of regular play plus any stoppage time, but excluding extra time or penalty shootouts. Three distinct outcomes are possible: a win for Como, a win for Parma Calcio, or a tie. If the match ends in a tie after the specified duration, the 'Tie' market resolves to Yes. In the event the game is canceled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price in accordance with the platform's rules. The markets are independent of any official league affiliations, and all trademarks and branding belong to their respective owners.
More markets for the Serie A game, scheduled for August 30 at 12:30 PM ET.
On Polymarket, this market is priced through trader activity rather than traditional bookmaker lines, often reflecting sharper or more nuanced probabilities. While sportsbooks may incorporate broader market factors or adjust for commission structures, prediction markets let participants bet directly on their own assessments. This can lead to tighter odds or different favorites, especially when trader sentiment diverges from public betting trends.
Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. The two venues attract different user bases and liquidity patterns, which naturally shapes pricing. On Polymarket, traders may react swiftly to new information or shifts in local support, while Predict could reflect a more global or slower-moving crowd. These dynamics often produce varying implied chances for the same event, illustrated by their distinct leading outcomes.