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Roman Safiullin vs Novak Djokovic: Exact Match Score
kalshi

What is the exact match score of Safiullin vs Djokovic?

Volume:
$171,211

Novak Djokovic wins 3-1

 - Kalshi

Novak Djokovic wins 3-1 - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jul 5, 2026

Closed: Jul 5, 12:10 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

Novak Djokovic wins 3-1

View
100%
Yes 100¢No 0¢
100¢
N/A
$56,702
N/A
N/A
$40,794
Settled
Yes
kalshi

Novak Djokovic wins 3-0

0%
Yes 0¢No 100¢
100¢
N/A
$79,172
N/A
N/A
$53,645
Settled
No
kalshi

Novak Djokovic wins 3-2

0%
Yes 0¢No 100¢
100¢
N/A
$17,314
N/A
N/A
$15,739
Settled
No
kalshi

Roman Safiullin wins 3-0

0%
Yes 0¢No 100¢
100¢
N/A
$9,037
N/A
N/A
$7,932
Settled
No
kalshi

Roman Safiullin wins 3-2

0%
Yes 0¢No 100¢
100¢
N/A
$7,372
N/A
N/A
$5,661
Settled
No
kalshi

Roman Safiullin wins 3-1

0%
Yes 0¢No 100¢
100¢
N/A
$1,613
N/A
N/A
$1,509
Settled
No
Total markets: 6

Description

This market predicts the exact final set score of the 2026 Wimbledon Men's Singles Round of 16 match between Roman Safiullin and Novak Djokovic on July 5. Bettors choose from possible outcomes ranging from 3-0 to 3-2 victories for either player.

Kalshi

Resolution is determined by the final set score of the professional tennis match. Possible outcomes include either player winning 3-0, 3-1, or 3-2. If the match does not occur before play begins due to injury, walkover, forfeiture, or cancellation, the market resolves to fair price. Postponements or delays keep the market 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

On Kalshi, the dashboard for the Safiullin vs Djokovic exact score market displays real-time odds and historical price movements as traders buy and sell shares tied to specific set scores. You can monitor the current implied probability for each possible match outcome, track cumulative trading volume, and review 24-hour activity to gauge market momentum. The interface shows how sentiment has shifted since the market opened, helping you identify whether recent news or player performance updates are driving price changes. This snapshot reflects live trading on the platform only.

Prediction market odds and 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 the beliefs of traders risking real capital on outcomes. This market's odds may lead or lag sportsbook lines depending on which venue receives new information first or attracts sharper traders. Comparing the two can reveal where consensus is strongest and where outlier views persist, though neither is inherently more accurate.

On Kalshi, this market is priced through a continuous order-book mechanism where traders submit bids and asks for each exact-score 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 marginal probability that traders assign to that specific scoreline, with the sum of all outcome prices constrained to equal one dollar. As new information emerges—such as player injury reports or recent form—traders adjust their positions, and prices move to reflect updated expectations. Liquidity and trading volume determine how quickly prices respond to news.

This market resolves around Jul 5, 2026, once the match between Safiullin and Djokovic concludes and the final set score is verified against credible public sources. The outcome is determined by the exact scoreline in sets—for example, 2–0, 2–1, 1–2, or 0–2—as reported by official tennis governing bodies or major sports news outlets. Traders holding shares in the winning outcome receive their payout, while all other positions expire worthless. Resolution typically occurs within hours of the match ending.

Key catalysts include recent head-to-head records, player injury announcements, and surface conditions at the venue. Djokovic's current form and ranking points motivation may shift trader sentiment, as could any late withdrawals or fitness concerns for either competitor. Pre-match commentary from analysts and betting syndicates can also trigger repricing. In the days leading up to the event, warm-up tournament results and official lineup confirmations typically generate trading activity. Court surface and weather forecasts closer to match day may influence expectations about match length and set distribution.