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Court Shark Tennis Desk

Medvedev vs Bublik Prediction: Almaty Open 2026 Semifinal

Medvedev's unbeaten hard-court record against Bublik deserves weight, but their latest meeting and Bublik's serve keep the Almaty semifinal from being routine.

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Daniil Medvedev meets Alexander Bublik in an Almaty Open semifinal, with their history still pointing toward Medvedev despite his defeat in their latest meeting. Court Shark's model gives Medvedev a 70% chance of winning.

A final place after Bublik's breakthrough

On June 22, 2025, Alexander Bublik beat Daniil Medvedev in Halle, ending a run of defeats against him. That result matters because it is their most recent meeting, but it came on grass rather than the hard courts they face in Almaty. The surface distinction matters here. Bublik proved he could win this matchup without yet overturning the evidence most relevant to Saturday.

Their semifinal offers a place in the Almaty Open final, with Medvedev seeking another title at an event he had already won. Bublik had not won the tournament. Medvedev entered at No. 5 and Bublik at No. 19, so the rankings also favored the player with the stronger history between them. For Bublik, winning in Kazakhstan would mean carrying his Halle breakthrough onto a surface where this opponent had remained unbeaten against him.

The hard-court record carries more weight

Medvedev led the overall series 6-1 and held a 4-0 advantage on hard courts. That is meaningful support for his status as favorite, rather than a reason to assume the next meeting follows the same course. The distinction is important. The overall record combines different surfaces, while the hard-court results offer a narrower and more relevant comparison for Almaty.

The latest listed hard-court meeting was in Dubai in 2023, when Medvedev won in straight sets; their Canada Masters meeting in 2021 went to a deciding set. Those results show both a clear win and a closer contest, but neither provides a recent test of the matchup on this surface. Since Dubai, Medvedev also won their Madrid meeting before Bublik won in Halle. My reading is that the history deserves substantial weight, with its age preventing it from serving as the whole argument.

Head-to-head by surface

Article snapshot, Oct 23, 2026 · Not live

Daniil Medvedev and Alexander Bublik have met 7 times. Daniil Medvedev leads 6-1.

Head-to-head record, Daniil Medvedev first
SurfaceDaniil MedvedevAlexander Bublik
All surfaces61
Hard40
Clay20
Grass01
Source: Court Shark model and match data.

Bublik's serve offers a route past history

Over the past year on hard courts, Bublik held 88% of his service games, compared with Medvedev's 86%. His serve offers a route. If Bublik can keep service games out of Medvedev's reach, the match can become less about their accumulated results and more about a few return opportunities.

The return figures favored Medvedev much more clearly: he broke in 29% of return games, while Bublik broke in 16%. That contrast suggests Bublik needs his serving advantage to survive sustained pressure, because his recent return record offers less support for recovering from a break. It also gives a current tennis reason to favor Medvedev, independent of their earlier meetings.

Workload could complicate that assessment. Medvedev played seven matches in the past fortnight, compared with Bublik's four, leaving the favorite with the heavier recent schedule. That does not establish fatigue, but any decline in Medvedev's return effectiveness would directly weaken his clearest advantage in this matchup.

The prediction

Court Shark's model favors Medvedev with a 70% win probability, while the market consensus gives him 63%. Both favor the same player. The difference is in confidence, and the historical advantage supports the direction of the forecast more convincingly than it establishes its precise size.

Court Shark's AI analyst, which reads the matchup without the market, also picks Medvedev, agreeing with the model on the strength of his hard-court record and return advantage. Court Shark's scoreline forecast gives him a 48% chance of winning in straight sets, with a median total of 22 games. A straight-set win is the likeliest single result, not a certainty.

The middle half of the forecast runs from 19 to 29 games, leaving room for a competitive match even with a clear favorite. Bublik's service games are the specific test: holding them consistently would deny Medvedev the repeated return openings that make the older hard-court results persuasive today.

Ways to win

Article snapshot, Oct 23, 2026 · Not live

Every way the match can finish. The likeliest single result is Daniil Medvedev in straight sets (48%).

Chance of each final set score
ResultChance
Daniil Medvedev wins 2-048%
Daniil Medvedev wins 2-122%
Alexander Bublik wins 2-114%
Alexander Bublik wins 2-016%
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 23, 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 MedvedevAlexander Bublik
Wins, last 10 matches80% (8-2)60% (6-4)
Wins, last 10 on hard80% (8-2)60% (6-4)
Head-to-head wins86% (6-1)14% (1-6)
Model win probability70%30%
Source: Court Shark model and match data.

Recent form

Article snapshot, Oct 23, 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 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
Daniil MedvedevOct 23, 2026WTerence Atmane6-4 6-4ATP Almaty
Alexander BublikAug 30, 2026WJ J Wolf6-4 6-2 3-6 6-1US Open
Alexander BublikSep 2, 2026WAdrian Mannarino6-3 6-1 6-1US Open
Alexander BublikSep 4, 2026LTommy Paul4-6 6-3 7-6(4) 1-6 3-6US Open
Alexander BublikSep 25, 2026LRafael Jodar2-6 3-6Laver Cup
Alexander BublikOct 1, 2026LJakub Mensik4-6 6-7(5)Beijing
Alexander BublikOct 9, 2026WTomas Machac6-4 7-6(4)Shanghai Masters
Alexander BublikOct 11, 2026WBrandon Nakashima6-7(7) 6-3 7-6(5)Shanghai Masters
Alexander BublikOct 13, 2026LAlexander Zverev6-7(6) 6-4 6-7(1)Shanghai Masters
Alexander BublikOct 22, 2026WFabian MarozsanATP Almaty
Alexander BublikOct 23, 2026WKaren Khachanov4-6 7-6(5) 7-6(5)ATP Almaty
Source: Court Shark model and match data.

Win rate by surface

Article snapshot, Oct 23, 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 MedvedevAlexander Bublik
Hard76% (25-8)59% (16-11)
Clay63% (5-3)53% (8-7)
Grass67% (6-3)63% (5-3)
Source: Court Shark model and match data.

Serve and return on hard courts

Article snapshot, Oct 23, 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 MedvedevAlexander BublikTour average, all years
Service games held88%87%77%
Return games broken28%16%23%
Matches in sample3327
Source: Court Shark model and match data.

Model and market on Daniil Medvedev

Article snapshot, Oct 23, 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 MedvedevAlexander Bublik
Opening consensus65%35%
Latest consensus63%37%
Court Shark model70%30%
Source: Court Shark model and pre-match market consensus.

Model win probability

Article snapshot, Oct 23, 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 Medvedev70%8-2
Alexander Bublik30%6-4
Source: Court Shark model and match data.

How long it could go

Article snapshot, Oct 23, 2026 · Not live

A 56% 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%
140.7%
152.0%
163.5%
176.2%
187.1%
198.5%
208.1%
215.4%
228.9%
237.1%
240.9%
253.2%
265.0%
272.4%
283.0%
293.3%
303.4%
314.3%
324.5%
332.8%
342.1%
353.2%
362.2%
370.2%
380.7%
390.8%
Source: Court Shark model and match data.

Return games won: where they stand

Article snapshot, Oct 23, 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; Alexander Bublik is 78th of 94.

Return games won, last 52 weeks, against the ATP top 100
PlayerReturn games wonPlace
Daniil Medvedev28.2%6th of 94
Alexander Bublik15.6%78th of 94
Field median18.6%
Field best (Daniel Merida Aguilar)30.7%1st
Source: Court Shark model and match data.

Two years of form

Article snapshot, Oct 23, 2026 · Not live

Each player's pre-match Elo rating since Oct 29, 2024. Latest: Daniil Medvedev 2125 (Oct 17, 2026), Alexander Bublik 2023 (Oct 13, 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)
Alexander Bublik1860 (Oct 29, 2024)2131 (Feb 14, 2026)2023 (Oct 13, 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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