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: Jul 15, 5:00 AM EST
Polymarket
This market refers to the tennis match between Linus Lagerbohm and Patrik Homola in the ITF Men Lodz, originally scheduled for July 8, 2026 at 5:00AM ET. This market will resolve to 'Linus Lagerbohm' if Linus Lagerbohm advances against Patrik Homola. This market will resolve to 'Patrik Homola' if Patrik Homola advances against Linus Lagerbohm. 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 Linus Lagerbohm and Patrik Homola in the ITF Men Lodz, originally scheduled for July 8, 2026 at 5:00AM ET. This market will resolve to 'Linus Lagerbohm' if Linus Lagerbohm advances against Patrik Homola. This market will resolve to 'Patrik Homola' if Patrik Homola advances against Linus Lagerbohm. 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 traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set odds to balance liability and extract a margin, while prediction markets aggregate trader beliefs through continuous price discovery. This market's odds may lead or lag sportsbook lines depending on information flow and trader sophistication. Comparing the two can reveal where professional bettors and casual traders disagree on the match outcome, potentially signaling value or consensus blind spots.
On Polymarket, traders set prices by buying and selling outcome shares in an automated market maker system. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the collective probability estimate: higher prices indicate stronger trader confidence in that result. As new information emerges—player form, injury reports, or head-to-head records—traders adjust their positions, moving prices in real time. This continuous repricing mechanism ensures the market stays responsive to changing conditions right up until the match concludes.
This market resolves around Jul 15, 2026, once the ITF Lodz match between the two players is complete and verified against credible public sources. The outcome is determined by the official match result: a win for one player or the other. No ambiguity exists in tennis match outcomes, making resolution straightforward. Traders holding shares in the winning outcome receive their payout once the event is confirmed and the market settles automatically.
Several catalysts could shift this market's odds before the match begins. Injury announcements or withdrawal news would dramatically reprrice the outcome. Recent tournament results, head-to-head records, and surface-specific performance data often trigger trader repositioning. Court conditions, weather forecasts, and player ranking changes can also influence sentiment. Media coverage highlighting one player's form or momentum may prompt buying or selling waves. Close to the match date, lineup confirmations and warm-up tournament results typically generate final price adjustments as traders refine their edge.