TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 13, 3:02 PM EST
Kalshi
This group of markets covers various betting lines for the UEFA Europa League match between Beşiktaş JK and FC Hradec Králové, including spreads, over/under totals, and team-specific scoring outcomes across different halves and aggregate scenarios.
More markets for the UEFA Europa League game, scheduled for August 13 at 1:00 PM ET.
If Besiktas wins the Besiktas vs Hradec Kralove professional Europa League soccer game originally scheduled for Aug 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. If Hradec Kralove wins the Besiktas vs Hradec Kralove professional Europa League soccer game originally scheduled for Aug 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes. If Tie is the result of the Besiktas vs Hradec Kralove professional Europa League soccer game originally scheduled for Aug 13, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.
Prediction market odds on this market often reflect a different outlook than traditional sportsbook lines. While sportsbooks set fixed odds based on their own models and risk management, prediction markets let traders vote with their wallets, leading to prices that can be more volatile and community-driven. The spread between the two can vary widely, especially as new information emerges — such as player injuries or weather updates — that impacts the perceived likelihood of different outcomes. Traders watch both sides to spot value gaps.
On Polymarket and Kalshi, prices can diverge because each platform attracts distinct user bases and may have different liquidity levels for this market. 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. This often results in varied probability assessments, as local trader sentiment, regional interest, or platform-specific incentives shape the odds. For instance, one venue might see heavier betting from fans of a particular team, skewing its prices. These dynamics mean that the same question can yield different implied chances depending on where you look.
Injuries to key players, changes in coaching strategy, or even weather conditions could shift this market as the match approaches. Traders will also react to any shifting odds on sportsbooks, major news headlines about the teams, and overall betting volume spikes on either platform. As these signals emerge, smart participants watch for patterns that hint at changing probabilities, allowing them to adjust positions ahead of the final outcome.