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# Medvedev vs Shimabukuro: Almaty Open workload preview
- URL: https://courtshark.ai/blog/medvedev-shimabukuro-almaty-open-workload-preview/
- Published: 2026-10-21T15:03:53.000Z
- Updated: 2026-10-21T15:03:53.000Z
- Description: Medvedev has played more recently, but his longer recovery window and stronger hard-court results make workload a secondary concern against Shimabukuro.
- Author: Court Shark Desk
- Tags: match-preview, Daniil Medvedev, Sho Shimabukuro, Almaty Open 2026, Hard, ATP

In this analysis

1. [Key takeaway](#key-takeaway)
2. [More matches, but more time to recover](#s-more-matches-but-more-time-to-recover)
3. [Hard-court results favor the busier player](#s-hard-court-results-favor-the-busier-player)
4. [Watch whether Medvedev can keep the match short](#s-watch-whether-medvedev-can-keep-the-match-short)
5. [Explore this matchup](#explore)
6. [Methodology and sources](#methodology)

Key takeaway

Medvedev's busier schedule is not an obvious disadvantage because he has had longer to recover. His stronger hard-court results give more reason to favor him than the workload gives to oppose him.

Medvedev's heavier schedule looks more like useful preparation than a major cost against Shimabukuro at the Almaty Open, given his longer recovery window. Court Shark gives Medvedev a 95% win probability, compared with the market consensus of 90%.

## More matches, but more time to recover

5 matches in the last 14 days give [Daniil Medvedev](https://courtshark.ai/players/daniil-medvedev-106421) the heavier recent workload heading into Almaty. That means more competitive tennis, but also more accumulated exertion before this meeting. The distinction matters here. A busy schedule can help a player sustain match rhythm without necessarily leaving him short of recovery before his next appearance.

[Sho Shimabukuro](https://courtshark.ai/players/sho-shimabukuro-200647) has played 2 matches over the same period, so his recent schedule has been lighter. Yet Medvedev has had 4 days since his last match, a gap that makes the workload comparison less straightforward than the match totals suggest. My reading is that Medvedev's preparation looks more helpful than harmful, rather than an obvious reason to expect fatigue.

Shimabukuro has had 1 day since his last match, which ended with a deciding-set win over Roman Safiullin in Almaty. He therefore brings immediate tournament experience, but less recovery time from his latest effort. Match counts alone cannot establish physical fatigue because they do not measure time on court or the demands of individual rallies.

### How long it could go

Article snapshot, Oct 21, 2026 · Not live

A 59% chance the match lasts 16 to 22 games; 18 is the middle of the range.

__Chance of each total number of games in the match__
| Total games | Chance |
| ----------- | ------ |
| 12          | 0.8%   |
| 13          | 3.2%   |
| 14          | 6.3%   |
| 15          | 10.0%  |
| 16          | 11.9%  |
| 17          | 12.5%  |
| 18          | 10.6%  |
| 19          | 8.3%   |
| 20          | 6.8%   |
| 21          | 4.5%   |
| 22          | 4.8%   |
| 23          | 2.9%   |
| 24          | 0.9%   |
| 25          | 1.9%   |
| 26          | 2.1%   |
| 27          | 1.6%   |
| 28          | 1.7%   |
| 29          | 1.7%   |
| 30          | 1.6%   |
| 31          | 1.6%   |
| 32          | 1.4%   |
| 33          | 0.9%   |
| 34          | 0.6%   |
| 35          | 0.7%   |
| 36          | 0.4%   |

Source: Court Shark model and match data.View data table

## Hard-court results favor the busier player

Medvedev's recent hard-court record is 8-2, while Shimabukuro's is 3-7\. The heavier schedule has accompanied stronger results, which supports viewing Medvedev's activity as productive preparation rather than simply a burden before this match. Results favor him clearly. They also make it harder to argue that a lighter calendar gives Shimabukuro the better platform on this surface.

The broader hard-court service figures point in the same direction: Medvedev has held 88% of his service games, against Shimabukuro's 76%. That difference matters to the workload question because efficient service games could keep Medvedev from having to work through repeated pressure situations. It is a possible route to conserving effort, not evidence that every hold will come easily.

Medvedev has also broken serve in 28% of return games on hard courts, compared with Shimabukuro's 21%. My interpretation is that Medvedev has more scope to create separation without depending on a long contest. The samples contain different opponents, so these rates are not a direct measurement of how either player will perform against this particular returner or server.

## Watch whether Medvedev can keep the match short

The forecast gives a Medvedev straight-sets win an 82% chance, making that the leading scenario for this meeting in the round of 16\. Length matters here. A finish without a deciding set would leave less opportunity for accumulated workload to become a factor, which supports keeping fatigue secondary in this preview.

A Medvedev win in a deciding set has a 13% chance in the forecast. That is the next most likely result, so extending the match would not by itself overturn his position as the favorite. The useful distinction is between Shimabukuro prolonging the contest and actually changing its expected winner.

There is no previous head-to-head meeting to help judge how their service and return records translate into this matchup. Medvedev's latest appearance ended in defeat against Rafael Jodar after wins over Stefanos Tsitsipas and Tommy Paul in Shanghai. For this match, Shimabukuro taking a set would be the clearest departure from the leading forecast, rather than proof that Medvedev's schedule had caught up with him.

### Ways to win

Article snapshot, Oct 21, 2026 · Not live

Every way the match can finish. The likeliest single result is Daniil Medvedev in straight sets (82%).

__Chance of each final set score__
| Result                   | Chance |
| ------------------------ | ------ |
| Daniil Medvedev wins 2-0 | 82%    |
| Daniil Medvedev wins 2-1 | 13%    |
| Sho Shimabukuro wins 2-1 | 3%     |
| Sho Shimabukuro wins 2-0 | 2%     |

Source: Court Shark model and match data.View data table

## Explore this matchup

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

### Player comparison

Article snapshot, Oct 21, 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__
| Measure               | Daniil Medvedev | Sho Shimabukuro |
| --------------------- | --------------- | --------------- |
| Wins, last 10 matches | 80% (8-2)       | 30% (3-7)       |
| Wins, last 10 on hard | 80% (8-2)       | 30% (3-7)       |
| Model win probability | 95%             | 5%              |

Source: Court Shark model and match data.View data table

### Recent form

Article snapshot, Oct 21, 2026 · Not live

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

__Recent results by player, oldest first__
| Player          | Date         | Result | Opponent            | Score                 | Event                        |
| --------------- | ------------ | ------ | ------------------- | --------------------- | ---------------------------- |
| Daniil Medvedev | Sep 29, 2026 | W      | Andrey Rublev       | 7-5 6-4               | Hangzhou                     |
| Daniil Medvedev | Oct 2, 2026  | W      | Pablo Carreno Busta | 6-4 6-2               | Beijing                      |
| Daniil Medvedev | Oct 3, 2026  | W      | Jan Lennard Struff  | 6-4 6-3               | Beijing                      |
| Daniil Medvedev | Oct 4, 2026  | W      | Francisco Cerundolo | 7-6(4) 6-3            | Beijing                      |
| Daniil Medvedev | Oct 5, 2026  | L      | Novak Djokovic      |                       | Beijing                      |
| Daniil Medvedev | Oct 10, 2026 | W      | Jan Lennard Struff  | 4-6 6-4 6-3           | Shanghai Masters             |
| Daniil Medvedev | Oct 12, 2026 | W      | Dalibor Svrcina     | 6-2 6-3               | Shanghai Masters             |
| Daniil Medvedev | Oct 14, 2026 | W      | Stefanos Tsitsipas  | 6-4 7-5               | Shanghai Masters             |
| Daniil Medvedev | Oct 16, 2026 | W      | Tommy Paul          | 6-3 1-6 6-3           | Shanghai Masters             |
| Daniil Medvedev | Oct 17, 2026 | L      | Rafael Jodar        | 3-6 4-6               | Shanghai Masters             |
| Sho Shimabukuro | Aug 13, 2026 | L      | J J Wolf            | 3-6 6-3 5-7           | Cincinnati Masters           |
| Sho Shimabukuro | Aug 14, 2026 | L      | Hubert Hurkacz      | 2-6 4-6               | Cincinnati Masters           |
| Sho Shimabukuro | Aug 23, 2026 | L      | Miomir Kecmanovic   | 4-6 3-6               | Winston-Salem                |
| Sho Shimabukuro | Aug 30, 2026 | L      | Arthur Rinderknech  | 7-6(4) 2-6 6-7(4) 2-6 | US Open                      |
| Sho Shimabukuro | Sep 22, 2026 | W      | Anton Shepp         | 6-3 6-3               | Davis Cup WG1 R1: JPN vs NZL |
| Sho Shimabukuro | Sep 22, 2026 | W      | James Watt          | 3-6 6-3 6-4           | Davis Cup WG1 R1: JPN vs NZL |
| Sho Shimabukuro | Sep 24, 2026 | L      | Hugo Gaston         | 4-6 4-6               | Hangzhou                     |
| Sho Shimabukuro | Oct 1, 2026  | L      | Denis Shapovalov    | 5-7 1-6               | Tokyo                        |
| Sho Shimabukuro | Oct 7, 2026  | L      | Miomir Kecmanovic   | 2-6 4-6               | Shanghai Masters             |
| Sho Shimabukuro | Oct 20, 2026 | W      | Roman Safiullin     | 6-7(4) 6-4 6-4        | ATP Almaty                   |

Source: Court Shark model and match data.View data table

### Win rate by surface

Article snapshot, Oct 21, 2026 · Not live

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

__Win rate by surface__
| Surface | Daniil Medvedev | Sho Shimabukuro     |
| ------- | --------------- | ------------------- |
| Hard    | 76% (25-8)      | 46% (18-21)         |
| Clay    | 63% (5-3)       | Too few matches (1) |
| Grass   | 67% (6-3)       | 60% (6-4)           |

Source: Court Shark model and match data.View data table

### Serve and return on hard courts

Article snapshot, Oct 21, 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__
| Measure             | Daniil Medvedev | Sho Shimabukuro | Tour average, all years |
| ------------------- | --------------- | --------------- | ----------------------- |
| Service games held  | 88%             | 76%             | 77%                     |
| Return games broken | 28%             | 21%             | 23%                     |
| Matches in sample   | 33              | 39              |                         |

Source: Court Shark model and match data.View data table

### Model and market on Daniil Medvedev

Article snapshot, Oct 21, 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__
| Reading           | Daniil Medvedev | Sho Shimabukuro |
| ----------------- | --------------- | --------------- |
| Opening consensus | 86%             | 14%             |
| Latest consensus  | 90%             | 10%             |
| Court Shark model | 95%             | 5%              |

Source: Court Shark model and pre-match market consensus.View data table

### Model win probability

Article snapshot, Oct 21, 2026 · Not live

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

__Model win probability by player__
| Player          | Win probability | Recent form (last 10) |
| --------------- | --------------- | --------------------- |
| Daniil Medvedev | 95%             | 8-2                   |
| Sho Shimabukuro | 5%              | 3-7                   |

Source: Court Shark model and match data.View data table

### Return games won: where they stand

Article snapshot, Oct 21, 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; Sho Shimabukuro ranks ahead of 3 of 94.

__Return games won, last 52 weeks, against the ATP top 100__
| Player                             | Return games won | Place            |
| ---------------------------------- | ---------------- | ---------------- |
| Daniil Medvedev                    | 27.8%            | 6th of 94        |
| Sho Shimabukuro                    | 10.2%            | Ahead of 3 of 94 |
| Field median                       | 18.8%            |                  |
| Field best (Daniel Merida Aguilar) | 30.7%            | 1st              |

Source: Court Shark model and match data.View data table

### Two years of form

Article snapshot, Oct 21, 2026 · Not live

Each player's pre-match Elo rating since Oct 30, 2024\. Latest: Daniil Medvedev 2125 (Oct 17, 2026), Sho Shimabukuro 1750 (Oct 7, 2026).

__Pre-match Elo rating over the last two years__
| Player          | Start of window     | Two-year peak       | Latest              |
| --------------- | ------------------- | ------------------- | ------------------- |
| Daniil Medvedev | 2160 (Oct 30, 2024) | 2160 (Oct 30, 2024) | 2125 (Oct 17, 2026) |
| Sho Shimabukuro | 1741 (Oct 30, 2024) | 1838 (Mar 4, 2026)  | 1750 (Oct 7, 2026)  |

Source: Court Shark model and match data.View data table

[Explore this matchup](https://courtshark.ai/h2h?p1=106421&p2=200647)

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

Our forecast

Court Shark's model

Daniil Medvedev 95% to win

Match shape

Daniil Medvedev in straight sets: 82%

Deciding set: 16%

Total games: median 18, middle half 16 to 22

AI analyst

Picks Daniil Medvedev (agrees with the model)

Its case: Medvedev has won 8 of his last 10 hard-court matches versus 3 of 10 for Shimabukuro, and those wins came against markedly tougher opposition; on hard courts he also holds 84.6% of service games compared with 79.0%, with a 75.9% versus 72.4% first-serve-points-won edge.

The risk it names: The main risk is Shimabukuro arriving fresh off a three-set win over Safiullin as Medvedev carries 316 minutes from the past 7 days.

Estimates recorded before play, not certainties.

Keep exploring

[See the profile of Daniil Medvedev](https://courtshark.ai/players/daniil-medvedev-106421)[Create a free account to keep it](https://courtshark.ai/register?redirect=%2Fplayers%2Fdaniil-medvedev-106421)

Match context

Players

Daniil Medvedev  
vs Sho Shimabukuro

Event

Almaty Open

Surface

Hard

Round

Round of 16

Date

Thursday, October 22

Article snapshot · Not live

Continue your research

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Related on Court Shark

- [How our match model works](https://courtshark.ai/blog/methodology/)
- [Open the full head-to-head](https://courtshark.ai/h2h?p1=106421&p2=200647)
- [Our editorial standards](https://courtshark.ai/blog/editorial-standards/)
- [About the desk](https://courtshark.ai/blog/about-the-desk/)

## 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.

About the desk

Who works on the Tennis Desk and how an article is put together. [Read about the desk](https://courtshark.ai/blog/about-the-desk/)

Editorial standards

What we publish, what we check and how we decide what is fit to print. [Read our standards](https://courtshark.ai/blog/editorial-standards/)

Corrections

Spotted an error? Write to hello@courtshark.ai and we will correct it and note the change. [Read the corrections policy](https://courtshark.ai/blog/editorial-standards/)