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Roman Safiullin vs Joao Fonseca: Game Spread
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What is the game spread in Safiullin vs Fonseca?

Volume:
$41,663

Joao Fonseca -4.5 games

 - Kalshi

Joao Fonseca -4.5 games - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Jul 3, 2026

Closed: Jul 3, 8:26 AM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Joao Fonseca -4.5 games

View
0%
Yes 0¢No 100¢
100¢
N/A
$40,415
N/A
N/A
$22,845
Settled
No
kalshi

Joao Fonseca -7.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$968
N/A
N/A
$795
Settled
No
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Joao Fonseca -1.5 games

0%
Yes 0¢No 100¢
100¢
N/A
$279
N/A
N/A
$243
Settled
No
Total markets: 3

Description

This market measures the game differential between Joao Fonseca and Roman Safiullin in their first-round match at the 2026 Wimbledon Men's Singles tournament on July 3. Bettors predict whether Fonseca will win by more than specified game margins across the full match.

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Resolution is determined by calculating the game differential in Joao Fonseca's favor across the entire 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 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 be settled resolve to fair market price at the Exchange's discretion.

Frequently asked questions

On Kalshi, the dashboard for the Safiullin vs Fonseca tennis match tracks real-time odds and historical price movements as traders buy and sell shares tied to the game spread outcome. You can monitor current market sentiment, view 24-hour volume activity, and observe how the odds shift as new information emerges. The interface displays the probability implied by the latest trades, helping you gauge whether the market expects a close match or a decisive result. Historical charts let you see how trader conviction has evolved since the market opened.

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 price outcomes based on trader belief and real-money commitment. This market aggregates the collective judgment of participants willing to stake capital on their view of the spread. Comparing this market's implied probability to major sportsbook lines can reveal where consensus differs or where sharp traders see value.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for shares 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 share reflects the marginal trade—the last executed transaction—and moves as new orders flow in. Traders profit by buying low and selling high, or by correctly predicting the outcome and holding to resolution. The spread between bid and ask prices tightens as more liquidity enters the market, making it easier to enter and exit positions.

This market resolves around Jul 3, 2026, once the match concludes and the final spread is verified against credible public sources. The outcome is determined by the actual point differential between the two players' scores, measured against the spread specified in the market title. Traders holding shares in the winning outcome receive their payout, while those on the losing side forfeit their stake. Resolution is automatic once the event result is confirmed and published by authoritative sports reporting.

Several factors can shift odds before the match begins. Recent form, head-to-head records, and injury reports on either player will influence trader positioning. Court surface, weather conditions, and tournament context also matter in tennis. Betting action from sharp bettors or syndicates can move the line quickly if they accumulate large positions. Breaking news—such as a player's withdrawal, illness, or a coaching change—can trigger sharp repricing. As match day approaches, market depth and liquidity typically increase, allowing larger trades to execute with tighter slippage.