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Roman Safiullin vs Botic Van de Zandschulp: Game Spread
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What is the result of Safiullin vs Van de Zandschulp?

Volume:
$2,731

Roman Safiullin -1.5 games

 - Kalshi

Roman Safiullin -1.5 games - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jul 1, 2026

Closed: Jul 1, 1:02 PM EST

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

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,956
N/A
N/A
$1,252
Settled
Yes
kalshi

Roman Safiullin -4.5 games

100%
Yes 100¢No 0¢
100¢
N/A
$605
N/A
N/A
$566
Settled
Yes
kalshi

Botic Van de Zandschulp -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$170
N/A
N/A
$168
Settled
No
Total markets: 3

Description

Roman Safiullin and Botic Van de Zandschulp will compete in a first-round match at the 2026 Wimbledon Men's Singles tournament on July 1st. The game spread—the difference in games won between the two players across the entire match—will determine the outcome.

Kalshi

Resolution is based on the game differential between Roman Safiullin and Botic Van de Zandschulp across the full match at the 2026 Wimbledon Men Singles Round Of 64. Outcomes measure whether Safiullin wins by more than specified game margins or whether Van de Zandschulp wins by more than a specified margin. 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 until the rescheduled match concludes within two weeks. If a retirement occurs during play, markets that can be unconditionally settled based on completed play will resolve accordingly; those that cannot be unconditionally settled will resolve to Fair Market Price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Safiullin vs Van de Zandschulp tennis match tracks real-time odds on whether Botic Van de Zandschulp will win at least 1.5 more games than Roman Safiullin during their matchup. The interface displays current market pricing, historical price movements, and trading activity to help you monitor how prediction market participants are positioning themselves ahead of the event. You can view live updates as new trades execute and sentiment shifts across the betting pool.

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 the collective beliefs of traders who have real money at stake on the outcome. For this market, comparing the current prediction market price to major sportsbook spreads can reveal whether the crowd is pricing the game differently than professional oddsmakers, potentially highlighting value opportunities or consensus shifts in market sentiment.

On Kalshi, this market is priced through a continuous order-book mechanism where traders buy and sell shares representing yes or no outcomes. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current odds reflect the balance of supply and demand; as more traders believe Van de Zandschulp will win by 1.5+ games, the price rises, and vice versa. You can place limit or market orders to enter or exit your position at any time before the market closes, with pricing updated in real time as the match approaches and new information emerges.

This market resolves around Jul 1, 2026, once the tennis match concludes and the final game count is verified. The outcome is determined by comparing the total games won by each player; if Van de Zandschulp finishes with at least 1.5 more games than Safiullin, the yes outcome prevails. Resolution is confirmed once the result is verifiable from credible public reporting of the match, at which point all positions settle and traders receive their payouts based on the final tally.

Several factors could shift odds before the match concludes. Recent form, head-to-head records, and player injury updates typically influence early pricing. As the match begins, real-time game scores will be the primary driver; if one player breaks serve early or builds a commanding lead, traders will adjust positions accordingly. Surface conditions, weather delays, and momentum swings during play can all trigger sharp repricing. Breaking news about either player's fitness or mental state could also prompt significant market movement in the hours leading up to the event.