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: Jun 24, 7:00 AM EST
Polymarket
This market refers to the tennis match between Bekkhan Atlangeriev and Gabor Hornung in the ITF Men Gyula, originally scheduled for June 17, 2026 at 7:00AM ET. This market will resolve to 'Bekkhan Atlangeriev' if Bekkhan Atlangeriev advances against Gabor Hornung. This market will resolve to 'Gabor Hornung' if Gabor Hornung advances against Bekkhan Atlangeriev. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.
This market refers to the tennis match between Bekkhan Atlangeriev and Gabor Hornung in the ITF Men Gyula, originally scheduled for June 17, 2026 at 7:00AM ET. This market will resolve to 'Bekkhan Atlangeriev' if Bekkhan Atlangeriev advances against Gabor Hornung. This market will resolve to 'Gabor Hornung' if Gabor Hornung advances against Bekkhan Atlangeriev. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50. If the match begins but is not completed, and one player advances due to the opponent's retirement, default, or disqualification, this market will resolve to the player who advances. If the match ends in a walkover (player withdraws before the start and the other advances automatically), this market will resolve to 50-50. The primary resolution source will be official information from the International Tennis Federation (ITF). A consensus of credible reporting may also be used.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and protect their margins, while prediction markets like this one are driven purely by trader belief and capital allocation. Comparing this market's implied probability to major sportsbook lines can reveal where professional oddsmakers and decentralized traders disagree, potentially signaling value or consensus breakdowns on the Atlangeriev vs Hornung outcome.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker (AMM) system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more capital flowing into one outcome, the higher its price climbs, and vice versa. This continuous price discovery mechanism means the odds you see reflect the real-time aggregate conviction of all active traders. Liquidity depth and recent trading volume influence how quickly prices adjust to new information about either player's form or match conditions.
This market resolves around Jun 24, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The result will be determined by the official match conclusion—whether Atlangeriev or Hornung wins the ITF Gyula tournament encounter. Once the match concludes and the winner is documented by reliable tennis authorities, the market will settle accordingly, paying out traders who backed the correct outcome.
Several catalysts could shift odds before Jun 24, 2026. Recent tournament performance, player injuries, or withdrawal announcements would immediately reshape trader expectations. Court surface conditions, weather forecasts, and head-to-head history may also influence positioning as the match date approaches. Social media momentum, expert commentary, or unexpected lineup changes could trigger rapid repricing. Traders monitor ATP/ITF news feeds and player rankings closely, so any credible update about either competitor's fitness or form typically triggers noticeable volume and price movement.