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 15, 3:42 PM EST
Polymarket
This event group covers various betting markets for the Club Friendlies game between Borussia Dortmund and AS Roma, focusing on total corners taken by both teams, corners taken in specific halves, and corners taken by individual teams. Markets include over/under thresholds for total corners, first half, second half, and team-specific corners, as well as odd/even total corners and the team to take the first corner.
Total corners markets for the Club Friendlies game between Borussia Dortmund and AS Roma, scheduled for August 15, 2026 at 11:30 AM ET.
Total corners markets for the Club Friendlies game between Borussia Dortmund and AS Roma, scheduled for August 15, 2026 at 11:30 AM ET.
Prediction market odds on this market often reflect sharper, community-driven insights compared to traditional sportsbook lines, which may include broader margins or different modeling approaches. While sportsbooks set a fixed over/under line and attach their own probabilities, prediction markets let participants bet directly on the likelihood of outcomes — sometimes producing tighter or more volatile pricing, especially as new data emerges in the days leading up to the match.
On Polymarket and Predict, pricing can vary because each venue has its own user base, liquidity depth, and trading dynamics. 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 instance, one platform might see heavier betting on over, pushing its probability higher, while the other could lean toward under. Differences in available market depth or recent trading activity also help explain why the two platforms show distinct chances for their leading outcomes.
In the run-up to resolution, anything that shifts expectations about team tactics, player availability, or recent form can move this market. Key signals include injury announcements, tactical changes by coaches, recent match performances, and even weather conditions that might affect playing styles. As these updates emerge, traders adjust their bets, often causing noticeable swings in the probability and implied odds across platforms.