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Martin Landaluce vs Taylor Fritz: Exact Match Score
kalshi

Martin Landaluce vs Taylor Fritz: Exact Match Score

Volume:
$11,836

Taylor Fritz wins 2-1

 - Kalshi

Taylor Fritz wins 2-1 - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 11, 2026

Closed: Jun 11, 1:20 PM EST

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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

Taylor Fritz wins 2-1

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,851
N/A
N/A
$2,213
Settled
Yes
kalshi

Taylor Fritz wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$6,987
N/A
N/A
$4,671
Settled
No
kalshi

Martin Landaluce wins 2-0

0%
Yes 0¢No 100¢
100¢
N/A
$1,472
N/A
N/A
$1,409
Settled
No
kalshi

Martin Landaluce wins 2-1

0%
Yes 0¢No 100¢
100¢
N/A
$525
N/A
N/A
$522
Settled
No
Total markets: 4

Description

A professional tennis match in the 2026 ATP Stuttgart Round Of 16 between two players will be contested, with the outcome determined by the final set score regardless of which player wins.

Kalshi

Resolution is based on the final set score of the match. If the match does not occur due to injury, walkover, forfeiture, or cancellation before play begins, the market resolves to a fair price. If the match is postponed or delayed, it remains open until 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.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the Martin Landaluce vs Taylor Fritz exact match score prediction market on Kalshi. It displays current odds for each possible set outcome, historical price movements, and 24-hour trading volume of $5,999. Users can monitor how market sentiment shifts as the match approaches, compare different score predictions, and see which outcomes attract the most trader interest. The dashboard updates continuously to reflect new trades and order book changes on the platform.

Prediction market odds on Kalshi often differ from traditional sportsbook odds because they reflect real-time trader consensus rather than fixed bookmaker lines. Sportsbooks typically adjust odds to balance liability, while prediction markets price outcomes based on continuous supply and demand from participants. For the Martin Landaluce vs Taylor Fritz exact match score, comparing Kalshi odds to major sportsbooks can reveal where traders and bettors disagree on specific set outcomes. These differences may highlight value opportunities or signal where professional and retail sentiment diverge.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the Martin Landaluce vs Taylor Fritz exact match score is priced through a continuous order book where traders buy and sell shares corresponding to each possible set result. Prices range from 0 to 100 cents, representing the implied probability of that outcome occurring. As match details emerge, player form updates, or betting patterns shift, traders adjust their bids and asks, moving prices up or down. The most liquid outcomes typically have tighter spreads and faster execution.

The Martin Landaluce vs Taylor Fritz exact match score market resolves on Jun 10, 2026. Resolution is determined by the official final set score recorded at the conclusion of the match. The market will settle based on the exact scoreline delivered by the tournament or match organizer. Traders should monitor official sources and match updates as the event date approaches to understand any potential delays or disputes that could affect settlement timing.

Several factors could shift odds for the Martin Landaluce vs Taylor Fritz exact match score. Recent performance data, head-to-head records, and player rankings influence trader expectations of likely outcomes. Injury announcements, court surface conditions, or weather updates closer to match day often trigger significant price moves. Tournament seeding, draw position, and momentum from earlier rounds also matter. As the match date approaches, increased media coverage and expert analysis may drive new trading activity, while last-minute lineup or condition changes can create sharp repricing across all score predictions.