TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 2, 7:36 AM EST
Kalshi
This event group covers a professional tennis match between Mak Mikovic and Luca Castagnola scheduled for July 1, 2026 at 1:00 PM ET in the ITF Men's M15 Umag tournament. Markets span match completion, set winners, game totals, and set handicaps across Polymarket and Kalshi platforms.
This market refers to the tennis match between Mak Mikovic and Luca Castagnola in the ITF Men Umag, originally scheduled for July 1, 2026 at 1:00PM ET. This market will resolve to 'Mak Mikovic' if Mak Mikovic advances against Luca Castagnola. This market will resolve to 'Luca Castagnola' if Luca Castagnola advances against Mak Mikovic. 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.
Resolution requires that a ball has been played in the match. If the match does not occur before play begins due to injury, walkover, forfeiture, or other cancellation, all markets resolve to $0.50. If a player withdraws or forfeits after the match has started, that player's market resolves to No. If the match is postponed or delayed, markets remain open and close following the rescheduled match completion within two weeks.
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. Platform design, fee structures, and user bases shape price discovery differently. Polymarket uses an automated market maker model, while Kalshi operates an order-book system, each attracting traders with different risk tolerances and strategies. Regulatory constraints, minimum trade sizes, and promotional incentives also vary between venues. These structural differences mean the same match can trade at different implied probabilities across platforms, creating arbitrage opportunities for alert traders until prices converge.
Recent player form, head-to-head records, court surface performance, and injury reports are key catalysts. Tournament draws and seeding can shift expectations before play begins. During the match itself, live performance—break points, set outcomes, and momentum swings—will drive rapid repricing. News about player fitness, coaching changes, or external circumstances may also trigger volatility. Traders monitor these signals continuously, adjusting positions as new information arrives.