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: Sep 3, 2:06 PM EST
Kalshi
This market tracks the total number of corners taken in the first half of the Serie B soccer match between US Avellino 1912 and Palermo FC. Currently, the consensus probability that the total will be over 3.5 corners is 100.0%. This prediction is an aggregation of views from Kalshi and Polymarket, and will resolve based on official statistics from Serie B governing body or event organizers, with fallback to Flashscore, Sofascore, or credible reporting. Keep an eye on the kickoff of the match on September 13, 2026, as that marks the beginning of the betting period and the start of corner accumulation.
Total corners markets for the Serie B game between US Avellino 1912 and Palermo FC, scheduled for September 13, 2026 at 9:00 AM ET.
The event resolves based on the total goals scored by both Palermo and Mantova during the regulation time (90 minutes plus stoppage time) of their Coppa Italia match scheduled for September 3, 2026. Each market corresponds to a different threshold of goals: over 0.5, over 1.5, over 2.5, over 3.5, over 4.5, and over 5.5 goals. If the actual number of goals meets or exceeds the specified threshold for a given market, that market resolves to Yes; otherwise, it resolves to No. Extra time and penalty kicks are excluded from the goal count. All markets are independent, and each has its own resolution criterion based on the specified goal threshold.
On Polymarket and Kalshi, prices can vary because of 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 soccer specialists, skewing its odds toward a particular corner outcome, while the other could reflect broader, general trader sentiment. These variations often highlight where expert and retail views diverge ahead of the match.