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: Jun 29, 1:13 PM EST
Kalshi
This market tracks the outcome of the third set in the professional tennis match between Thiago Agustin Tirante and Fabian Marozsan at the 2026 Wimbledon Men's Singles Round of 128 on June 29. The market resolves based on which player wins set 3 of the match.
The market resolves to Yes for whichever player wins set 3 in the match. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to a fair price. If the match is 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 resolved to Fair Market Price at the Exchange's discretion.
Prediction market odds and sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and manage risk, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show higher or lower implied probabilities than traditional sportsbooks, depending on whether informed traders or casual bettors dominate activity. Comparing the two can reveal where consensus differs and highlight potential value opportunities.
On Kalshi, this market is priced through an order-book mechanism where traders buy and sell contracts representing each outcome. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each contract reflects the collective belief about that player's likelihood of winning Set 3, with contracts trading between 0 and 100 cents. As new trades execute, prices adjust in real time. Wider bid-ask spreads indicate lower liquidity, while tighter spreads suggest active trading and high confidence in fair value.
Several factors could shift odds before resolution. Player injuries, fitness updates, or coaching changes announced before the match could alter perceived probabilities. Real-time match dynamics—such as early set performance, momentum swings, or tactical adjustments—will likely drive significant repricing once play begins. Weather delays, court conditions, or surface preference advantages may also influence trader sentiment. News about recent head-to-head records or player form could trigger volatility as new information reaches the market.