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Court Shark Tennis Desk

Medvedev vs Atmane Prediction: Almaty Open 2026 Quarterfinal

Medvedev's return record makes him the Almaty Open favorite, but Atmane's ability to hold serve could keep the quarterfinal close.

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Daniil Medvedev faces Terence Atmane in an Almaty Open quarterfinal, with his stronger hard-court return record providing the clearest advantage. Court Shark's model gives Medvedev a 76% chance to win, though Atmane's serve offers a route to a closer match.

Medvedev's bigger advantage comes on return

Daniil Medvedev meets Terence Atmane in an Almaty Open quarterfinal for a place in the semifinals. Medvedev's hard-court record supports a clear favorite, but the difference between them is much greater on return than it is on serve. Both protected serve well.

As the draw narrows, Atmane faces a returner whose record suggests that holding serve will be harder than his own results might imply. Over the past year, Medvedev held 86% of his service games on hard courts, compared with Atmane's 83%. The relatively small service gap makes their return records the more useful distinction in assessing this quarterfinal.

Medvedev broke in 29% of his return games, while Atmane managed 15%. My reading is that Medvedev has more room to recover from a dropped service game, while Atmane faces greater pressure to preserve each hold. Those records covered 49 matches for Medvedev and 33 for Atmane. The samples extend well beyond their opening results here.

Return games won: where they stand

Article snapshot, Oct 22, 2026 · Not live

Each dot is one of the ATP top 100 with enough matches in the last 52 weeks. Daniil Medvedev is 6th of 94; Terence Atmane ranks ahead of 6 of 94.

Return games won, last 52 weeks, against the ATP top 100
PlayerReturn games wonPlace
Daniil Medvedev27.8%6th of 94
Terence Atmane13.7%Ahead of 6 of 94
Field median18.5%
Field best (Daniel Merida Aguilar)30.7%1st
Source: Court Shark model and match data.

Recent hard-court results support the serve numbers

Medvedev went 8-2 in his last ten hard-court matches, while Atmane went 5-5. The gap extends to completed matches. That strengthens the case for Medvedev as the player more consistently turning his advantages into wins, rather than merely posting better service and return figures.

Their meetings offer narrower support. Medvedev led the head-to-head 2-0, with a win at the Australian Open in a match that ended in retirement. That incomplete result offers limited evidence of how a full match on this surface might unfold. Their other meeting took place on grass.

The latest meeting was a straight-sets Medvedev win in Halle. For this matchup, I put more importance on Medvedev's recent hard-court results than on an unbeaten record against an opponent he has faced only twice. His stronger return record suggests a repeatable route to winning: creating chances in service games that Atmane would otherwise need to protect.

Head-to-head by surface

Article snapshot, Oct 22, 2026 · Not live

Daniil Medvedev and Terence Atmane have met 2 times. Daniil Medvedev leads 2-0.

Head-to-head record, Daniil Medvedev first
SurfaceDaniil MedvedevTerence Atmane
All surfaces20
Hard10
Grass10
Source: Court Shark model and match data.

Atmane can make the match depend on tiebreaks

Atmane's clearest route is to keep holding and reduce Medvedev's opportunities to separate himself through return games. His latest Almaty victory over Mattia Bellucci required three tiebreaks. Across his career, Atmane won 80 of 138 tiebreaks. Close sets offer an opening.

Medvedev's career tiebreak record was 161 wins from 289, so his broader return advantage does not translate into a clear advantage by this measure. If Atmane keeps sets on serve, the forecast becomes less comfortable for the favorite. His win over Bellucci supplies a recent example of success in a match decided entirely by tiebreak sets, without establishing how often either player broke serve.

Recent workload is another possible complication: Medvedev played six matches in the last fortnight, compared with Atmane's two. My reading is that the lighter schedule offers Atmane a possible freshness advantage, although his latest victory still extended to a deciding set. Medvedev's task is to create breaks before Atmane can make another set depend on a tiebreak.

The prediction

Court Shark's model favors Medvedev with a 76% win probability, while the market consensus has him at 83%. Both favor the same player. The model is less emphatic, which fits my reading of a matchup where the favorite's return advantage is substantial but the underdog's service record remains competitive.

Court Shark's AI analyst, which reads the matchup without the market, also picks Medvedev and agrees with the model. His stronger return record and more consistent recent hard-court results provide the tennis case, rather than a large difference in service security. Court Shark's scoreline forecast gives Medvedev a 54% chance of winning in straight sets, with a median total of 22 games.

The middle half of projected outcomes runs from 19 to 29 games, leaving room for close sets rather than implying a short match throughout. Atmane's most important task is to prevent his service games from becoming the repeated opening that his opponent's return record suggests.

Ways to win

Article snapshot, Oct 22, 2026 · Not live

Every way the match can finish. The likeliest single result is Daniil Medvedev in straight sets (54%).

Chance of each final set score
ResultChance
Daniil Medvedev wins 2-054%
Daniil Medvedev wins 2-122%
Terence Atmane wins 2-112%
Terence Atmane wins 2-012%
Source: Court Shark model and match data.

Explore this matchup

Compare both players side by side: recent results, surfaces, serve and return.

Player comparison

Article snapshot, Oct 22, 2026 · Not live

Each measure on the same scale: recent wins, wins on this surface, head-to-head wins and the model's chance.

Player comparison
MeasureDaniil MedvedevTerence Atmane
Wins, last 10 matches80% (8-2)50% (5-5)
Wins, last 10 on hard80% (8-2)50% (5-5)
Head-to-head wins100% (2-0)0% (0-2)
Model win probability76%24%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 22, 2026 · Not live

Each player's most recent completed matches, up to 10, oldest on the left.

Recent results by player, oldest first
PlayerDateResultOpponentScoreEvent
Daniil MedvedevOct 2, 2026WPablo Carreno Busta6-4 6-2Beijing
Daniil MedvedevOct 3, 2026WJan Lennard Struff6-4 6-3Beijing
Daniil MedvedevOct 4, 2026WFrancisco Cerundolo7-6(4) 6-3Beijing
Daniil MedvedevOct 5, 2026LNovak DjokovicBeijing
Daniil MedvedevOct 10, 2026WJan Lennard Struff4-6 6-4 6-3Shanghai Masters
Daniil MedvedevOct 12, 2026WDalibor Svrcina6-2 6-3Shanghai Masters
Daniil MedvedevOct 14, 2026WStefanos Tsitsipas6-4 7-5Shanghai Masters
Daniil MedvedevOct 16, 2026WTommy Paul6-3 1-6 6-3Shanghai Masters
Daniil MedvedevOct 17, 2026LRafael Jodar3-6 4-6Shanghai Masters
Daniil MedvedevOct 22, 2026WSho Shimabukuro6-2 6-1ATP Almaty
Terence AtmaneAug 15, 2026WTomas Martin Etcheverry6-3 7-6(4)Cincinnati Masters
Terence AtmaneAug 17, 2026LAlexander Zverev6-7(4) 6-7(6)Cincinnati Masters
Terence AtmaneAug 30, 2026LJaume Munar7-6(5) 6-3 1-6 6-7(4) 5-7US Open
Terence AtmaneSep 24, 2026LJaime Faria6-3 6-7(9) 4-6Hangzhou
Terence AtmaneSep 28, 2026WDominik Palan6-1 6-4Jingshan Challenger
Terence AtmaneSep 29, 2026WEnzo Aguiard6-4 6-4Jingshan Challenger
Terence AtmaneSep 30, 2026LElias Ymer6-4 5-7 5-5 RETJingshan Challenger
Terence AtmaneOct 5, 2026LBernard Tomic3-6 6-4 3-5 RETShanghai Masters
Terence AtmaneOct 20, 2026WRinky Hijikata7-6(5) 6-2ATP Almaty
Terence AtmaneOct 22, 2026WMattia Bellucci6-7(4) 7-6(2) 7-6(5)ATP Almaty
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 22, 2026 · Not live

Share of matches won on each surface across each player's last 50 matches with full statistics.

Win rate by surface
SurfaceDaniil MedvedevTerence Atmane
Hard76% (25-8)43% (15-20)
Clay63% (5-3)40% (4-6)
Grass67% (6-3)20% (1-4)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 22, 2026 · Not live

How often each player held serve and broke serve on hard over their last 50 matches with full statistics, against the tour's all-years average on the surface.

Hold and break rates on hard
MeasureDaniil MedvedevTerence AtmaneTour average, all years
Service games held88%82%77%
Return games broken28%15%23%
Matches in sample3335
Source: Court Shark model and match data.

Model and market on Daniil Medvedev

Article snapshot, Oct 22, 2026 · Not live

Daniil Medvedev's chance as the market consensus priced it from the opening line, next to the Court Shark model.

Daniil Medvedev's chance to win
ReadingDaniil MedvedevTerence Atmane
Opening consensus80%20%
Latest consensus83%17%
Court Shark model76%24%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 22, 2026 · Not live

The Court Shark model's chance for each player to win this match.

Model win probability by player
PlayerWin probabilityRecent form (last 10)
Daniil Medvedev76%8-2
Terence Atmane24%5-5
Source: Court Shark model and match data.

How long it could go

Article snapshot, Oct 22, 2026 · Not live

A 55% chance the match lasts 19 to 29 games; 22 is the middle of the range.

Chance of each total number of games in the match
Total gamesChance
130.3%
141.0%
152.5%
164.1%
176.9%
187.7%
198.8%
208.3%
215.5%
228.8%
236.8%
240.9%
253.1%
264.7%
272.3%
282.9%
293.1%
303.2%
314.0%
324.1%
332.6%
341.9%
352.9%
362.0%
370.2%
380.6%
390.7%
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 22, 2026 · Not live

Each player's pre-match Elo rating since Oct 30, 2024. Latest: Daniil Medvedev 2125 (Oct 17, 2026), Terence Atmane 1849 (Oct 5, 2026).

Pre-match Elo rating over the last two years
PlayerStart of windowTwo-year peakLatest
Daniil Medvedev2160 (Oct 30, 2024)2160 (Oct 30, 2024)2125 (Oct 17, 2026)
Terence Atmane1755 (Oct 30, 2024)1875 (Aug 17, 2026)1849 (Oct 5, 2026)
Source: Court Shark model and match data.
Explore this matchup

Court Shark win probabilities are statistical estimates, not advice. No outcome is guaranteed.

Methodology and sources

How we build model estimates and where our information comes from.

Model estimates and observed results

The win probabilities come from the Court Shark match model, trained on completed ATP and WTA matches. A probability says how often a player in this position wins, not that one result will happen. The model's number for a match is recorded before play and never changed afterwards, so it can be checked against the result.

Sources and citations

Results, scores, rankings and serve statistics come from the Court Shark match database. The market consensus is the pre-match price for each player converted to a probability. Figures in this article are a snapshot taken when it was written.

Limitations

Serve and return rates count only matches with full serve statistics, which are sparser for Challenger and lower-level events, and the tour average they are compared with covers every year on record. Head-to-head records count every meeting with a recorded winner, walkovers and retirements included. Charts and tables are a snapshot and do not update after publication.

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