TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 15, 10:52 AM EST
Kalshi
This event group covers a professional tennis match between Nuno Borges and Felix Auger-Aliassime at the 2026 ATP Halle Open (Round of 32), scheduled for June 15, 2026. Markets track both the match winner and the total number of games played, with separate resolution criteria for match completion status.
This market refers to the tennis match between Nuno Borges and Felix Auger-Aliassime in the Halle Open, originally scheduled for June 15, 2026 at 4:00AM ET. This market will resolve to 'Nuno Borges' if Nuno Borges advances against Felix Auger-Aliassime. This market will resolve to 'Felix Auger-Aliassime' if Felix Auger-Aliassime advances against Nuno Borges. 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 ATP Tour. A consensus of credible reporting may also be used.
Resolution is based on the total number of completed games across the full match between Nuno Borges and Felix Auger-Aliassime in the 2026 ATP Halle Round of 32. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. If postponed or delayed, the market remains open and closes after the rescheduled match concludes within two weeks. If a player retires, markets that can be unconditionally settled based on completed play resolve accordingly; those that cannot are settled at fair market price at the Exchange's discretion.
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. Each platform operates distinct market structures, fee schedules, and user bases, all of which influence how prices form. Polymarket uses an automated market maker for continuous liquidity, while Kalshi employs order-book mechanics. Differences in trading costs, minimum order sizes, and the composition of active traders can cause temporary price gaps. Additionally, each platform may list slightly different outcome categories—for instance, one might focus on match winner while another emphasizes total games—leading to natural pricing variation even when tracking the same underlying event.
Key catalysts include injury announcements, recent tournament performance, and changes in player ranking or form. Draws, seeding updates, or schedule changes announced by the tournament organizers can shift trader sentiment. Head-to-head records and surface-specific statistics often drive repricing as the match date approaches. Weather forecasts, player statements in media, and results from warm-up events may also influence odds. Sudden shifts in trading volume or large position changes on either platform can signal new information entering the market, prompting price adjustments across both venues.