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%

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Thiago Agustin Tirante vs Fabian Marozsan: Set 3 Winner
kalshi

Who will win set 3 between Tirante and Marozsan?

Volume:
$31,553

Fabian Marozsan

 - Kalshi

Fabian Marozsan - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 29, 2026

Closed: Jun 29, 1:13 PM EST

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Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Fabian Marozsan

View
100%
Yes 100¢No 0¢
100¢
N/A
$28,687
N/A
N/A
$28,519
Settled
Yes
kalshi

Thiago Agustin Tirante

0%
Yes 0¢No 100¢
100¢
N/A
$2,866
N/A
N/A
$2,866
Settled
No
Total markets: 2

Description

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.

Kalshi

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.

Frequently asked questions

On Kalshi, the Tirante vs Marozsan Set 3 winner market dashboard tracks real-time odds and price movements for this tennis matchup's third set outcome. The interface displays current probabilities for each player, historical price charts, and trading activity. You can monitor how sentiment shifts as the match progresses and new information emerges. The dashboard also shows cumulative trading volume and liquidity depth, helping traders assess market confidence and execution costs for their positions.

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.