TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 6, 1:00 PM EST
Polymarket
This group of markets covers the total number of corners taken in the upcoming Serie B football match between Cesena FC and Mantova 1911, scheduled for September 6, 2026. Markets include over/under thresholds for total corners, team-specific corners, and parity of total corners.
Total corners markets for the Serie B game between Cesena FC and Mantova 1911, scheduled for September 6, 2026 at 9:00 AM ET.
Total corners markets for the Serie A game between Juventus FC and Parma Calcio 1913, scheduled for August 29, 2026 at 2:45 PM ET.
On Polymarket, this market reflects the wisdom of crowds through user-driven trading, often showing tighter spreads than traditional sportsbook lines. Prediction markets price in real-time sentiment and can adjust faster to new information, while sportsbooks may incorporate broader factors like public betting trends and historical data. The difference in pricing can also be influenced by the volume of $1,270, which may not be reflected in sportsbook odds. Additionally, prediction markets sometimes offer more nuanced outcomes, capturing subtleties that sportsbooks might generalize. Overall, traders should compare both sources to identify potential value gaps.
On Predict and Polymarket, prices can vary due to differences in user bases, liquidity, and market design. 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. For example, one platform might have a more active community focused on detailed statistical analysis, skewing its odds toward a specific outcome. Meanwhile, the other could be influenced by broader, general interest that aligns with popular narratives. Volume disparities, such as $1,270 versus $1,265, also play a role, as higher volume typically leads to more efficient pricing. Additionally, each platform’s fee structure and trading mechanics can impact how users place bets, further widening the gap between the two markets.