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Jan-Lennard Struff vs Martin Landaluce: Game Spread
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Jan-Lennard Struff vs Martin Landaluce: Game Spread

Volume:
$2,482

Jan-Lennard Struff -1.5 games

 - Kalshi

Jan-Lennard Struff -1.5 games - Kalshi

1W

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Vol.

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Resolved Jun 22, 2026

Closed: Jun 22, 11:16 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Jan-Lennard Struff -1.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,537
N/A
N/A
$1,336
Settled
No
kalshi

Martin Landaluce -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$797
N/A
N/A
$745
Settled
No
kalshi

Martin Landaluce -4.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$148
N/A
N/A
$148
Settled
No
Total markets: 3

Description

This market measures the game differential between Jan-Lennard Struff and Martin Landaluce in their professional tennis match at the 2026 ATP Mallorca Round of 32 on June 22. Bettors wager on whether one player will win by a specified game margin across the full match.

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Resolution is based on the game differential in favor of the specified player across the full match. 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.

Frequently asked questions

On Kalshi, the dashboard for the Struff vs Landaluce tennis match tracks real-time odds and historical price movement for the game spread outcome. You can monitor current market pricing, view 24-hour trading volume of $2,482, and observe how trader sentiment shifts as match conditions and player performance data emerge. The interface displays cumulative liquidity and lets you compare intraday price swings, helping you identify momentum shifts and optimal entry or exit points before the event concludes.

Prediction market odds and traditional sportsbook odds often diverge because they reflect different participant bases and incentive structures. Sportsbooks set lines to balance action and lock in profit margins, while prediction markets aggregate trader beliefs through continuous price discovery. This market may show tighter or wider spreads than sportsbooks depending on liquidity and the confidence level among participants. Comparing the two can reveal whether the crowd's assessment differs from professional oddsmakers, though both are valid pricing signals.

On Kalshi, this market is priced through an order-book mechanism where traders buy and sell shares representing different outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price of each outcome reflects the marginal trade, so as new information arrives or sentiment shifts, the bid-ask spread adjusts accordingly. Traders profit by correctly predicting the match result, and the continuous pricing model ensures that odds update in real time as match conditions evolve and new data becomes available to the market.

This market resolves around Jun 22, 2026, once the match concludes and the final game spread is verified against credible public sources. The outcome is determined by the official recorded score and the margin of victory in the specified game. Resolution occurs after the event is complete and the result is confirmed through standard sports reporting channels, at which point traders' positions are settled based on the actual outcome.

Key catalysts include recent player form, head-to-head records, court surface conditions, and injury reports. Betting line movement from major sportsbooks can also shift trader expectations. Pre-match commentary from tennis analysts, player statements, and weather forecasts closer to game day may trigger repricing. Real-time match momentum—such as set scores, break points, and serve performance—will drive the most significant price swings once play begins, as traders adjust their positions based on live action.