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# Daniil Medvedev brings form to Shanghai test
- URL: https://courtshark.ai/blog/daniil-medvedev-jan-lennard-struff-shanghai-preview/
- Published: 2026-10-09T15:01:07.000Z
- Updated: 2026-10-09T15:01:06.000Z
- Description: Daniil Medvedev's recent hard-court form and head-to-head edge make him the model favorite over Jan Lennard Struff in Shanghai.
- Author: Court Shark Desk
- Tags: match-preview, Daniil Medvedev, Jan Lennard Struff, Rolex Shanghai Masters, Hard, ATP

In this analysis

1. [Key takeaway](#key-takeaway)
2. [A familiar hard-court problem](#s-a-familiar-hard-court-problem)
3. [Medvedev's recent work](#s-medvedev-s-recent-work)
4. [Struff needs his best version](#s-struff-needs-his-best-version)
5. [The matchup has a memory](#s-the-matchup-has-a-memory)
6. [Form carries more weight than aura](#s-form-carries-more-weight-than-aura)
7. [What the model says](#s-what-the-model-says)
8. [Explore this matchup](#explore)
9. [Methodology and sources](#methodology)

Key takeaway

Medvedev has won 8 of his last 10 matches and leads Struff 7-1 on hard courts. The model gives Medvedev a 75% chance, below the 84% market consensus.

Daniil Medvedev arrives at the Rolex Shanghai Masters with the stronger recent record and a commanding history against Jan Lennard Struff. The model gives Medvedev a 75% chance, below the market consensus but still clearly in his favor.

## A familiar hard-court problem

Under the Shanghai lights, a low backhand skids through the court and asks an opponent to create his own pace. [Daniil Medvedev](https://courtshark.ai/players/daniil-medvedev-106421) has made that pattern familiar on hard courts, even when his reputation sometimes draws more attention than his recent work. He enters the second round as No. 6, while [Jan Lennard Struff](https://courtshark.ai/players/jan-lennard-struff-105526) is No. 59\. The gap is plain.

Reputation alone does not settle a match. Medvedev has won 8 of his last 10 matches, and the same 8-2 record applies on hard courts, which gives his standing a current foundation. Struff has split his last 10 matches and carries a 4-6 hard-court run into Shanghai. He can shorten points with his serve and forward movement, yet Medvedev has recently shown the steadier ability to absorb that style and redirect it.

## Medvedev's recent work

Medvedev's Beijing run gave this meeting a useful, immediate reference point. He beat Struff 6-4 6-3 there, then followed that result with another straight-sets win before his most recent loss. The sequence matters. It shows a player who has been repeatedly asked to manage hard-court matches rather than relying on an old ranking.

His last 10 results include wins over Andrey Rublev and Francisco Cerundolo, opponents who can both press the baseline with enough force to expose loose depth. Medvedev also came through a tight-set test against Coleman Wong. That variety is helpful. Four days since his last match gives him a pause after Beijing, although he has played 7 matches in the last 14 days and cannot expect a passive opening from Struff.

### Recent form

Article snapshot, Oct 9, 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 4, 2026  | W      | Arthur Rinderknech      | 6-4 6-4 6-4         | US Open            |
| Daniil Medvedev    | Sep 6, 2026  | L      | Frances Tiafoe          | 6-7(1) 4-6 6-7(6)   | US Open            |
| Daniil Medvedev    | Sep 26, 2026 | W      | Valentin Royer          | 7-6(6) 6-3          | Hangzhou           |
| Daniil Medvedev    | Sep 27, 2026 | W      | Coleman Wong            | 6-3 6-7(2) 6-3      | Hangzhou           |
| Daniil Medvedev    | Sep 28, 2026 | W      | Roman Safiullin         | 7-5 6-4             | Hangzhou           |
| 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             | ATP Beijing        |
| Daniil Medvedev    | Oct 3, 2026  | W      | Jan Lennard Struff      | 6-4 6-3             | ATP Beijing        |
| Daniil Medvedev    | Oct 4, 2026  | W      | Francisco Cerundolo     | 7-6(4) 6-3          | ATP Beijing        |
| Daniil Medvedev    | Oct 5, 2026  | L      | Novak Djokovic          |                     | ATP Beijing        |
| Jan Lennard Struff | Jul 21, 2026 | W      | Alexander Shevchenko    | 3-6 7-6(5) 6-4      | Kitzbuhel          |
| Jan Lennard Struff | Jul 22, 2026 | L      | Mariano Navone          | 0-6 3-6             | Kitzbuhel          |
| Jan Lennard Struff | Aug 4, 2026  | L      | Alex Michelsen          | 1-6 6-3 1-6         | Canada Masters     |
| Jan Lennard Struff | Aug 13, 2026 | W      | Roman Andres Burruchaga | 7-6(4) 2-6 6-3      | Cincinnati Masters |
| Jan Lennard Struff | Aug 15, 2026 | L      | Alejandro Tabilo        | 3-6 4-6             | Cincinnati Masters |
| Jan Lennard Struff | Sep 1, 2026  | W      | Camilo Ugo Carabelli    | 6-4 6-3 6-3         | US Open            |
| Jan Lennard Struff | Sep 3, 2026  | L      | Francisco Cerundolo     | 7-5 5-7 6-4 2-6 3-6 | US Open            |
| Jan Lennard Struff | Sep 30, 2026 | W      | Thiago Agustin Tirante  | 6-1 6-4             | ATP Beijing        |
| Jan Lennard Struff | Oct 3, 2026  | L      | Daniil Medvedev         | 4-6 3-6             | ATP Beijing        |
| Jan Lennard Struff | Oct 8, 2026  | W      | Martin Landaluce        | 6-4 6-4             | ATP Shanghai       |

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

## Struff needs his best version

Struff entered Shanghai with a clean win over Martin Landaluce, a result that should give him some rhythm for this second-round assignment. He has won his latest match. Still, the larger hard-court sample is less reassuring, with 4 wins in his last 10 on the surface. That is the tension in this matchup.

The German's route is direct: make his service games efficient, take time away early, and force Medvedev to defend from uncomfortable positions. He has held 83% of service games on hard courts in the available sample. But Medvedev has held 86%, while his return game offers a wider separation. Struff broke Medvedev only rarely in Beijing, and a repeat of that pattern would leave him needing a very high conversion rate in the few openings he creates.

## The matchup has a memory

The head-to-head is lopsided, and it is most lopsided on the surface used in Shanghai. Medvedev leads the series 10-3 overall and 7-1 on hard courts. Those results do not play the points on Saturday. They do show that Struff's preferred attacking patterns have often met a player comfortable defending deep and returning a heavy first ball.

Grass has been different, where the pair are level, but the hard-court evidence is harder to dismiss. Medvedev's ability to extend rallies can make Struff feel he has to produce an extra attacking shot. That is demanding. The Beijing score from October 3 also removes any guesswork about their current matchup, because Medvedev controlled both sets without allowing the contest to become a long decider.

### Head-to-head by surface

Article snapshot, Oct 9, 2026 · Not live

Daniil Medvedev and Jan Lennard Struff have met 13 times. Daniil Medvedev leads 10-3.

__Head-to-head record, Daniil Medvedev first__
| Surface      | Daniil Medvedev | Jan Lennard Struff |
| ------------ | --------------- | ------------------ |
| All surfaces | 10              | 3                  |
| Hard         | 7               | 1                  |
| Clay         | 1               | 0                  |
| Grass        | 2               | 2                  |

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

## Form carries more weight than aura

Medvedev has been discussed heavily in recent days, but the tennis case starts elsewhere. His form is strong. An 8-2 record across his last 10 matches is a clearer measure of readiness than the noise around a player who has previously reached No. 1\. He remains capable of making the court feel very large for an opponent trying to finish points quickly.

Struff's best ranking was No. 21, so he has enough experience to understand the scale of this stage and the opponent across the net. Experience is useful. Yet his recent results have alternated too often, and the direct loss in Beijing places extra pressure on him to change the shape of the contest. His first serve and first attacking ball must produce short points, because a long physical exchange generally favors Medvedev's current form.

## What the model says

The model gives Medvedev a 75% chance to win, while Struff has a 25% chance. The market consensus has Medvedev at 84% and Struff at 16%, after moving 2 points toward Medvedev from the opening view. That leaves a 9-point gap between the model and the market on the favorite. The difference is meaningful.

The model's view still aligns with the broad tennis case: better recent form, a superior hard-court record, and a dominant history in this specific pairing all sit with Medvedev. Struff has a path if he serves freely and forces the match into short bursts. The next round would give the winner another hard-court test, with Medvedev likely carrying more confidence if he again handles Struff's first-strike approach.

### Model and market on Daniil Medvedev

Article snapshot, Oct 9, 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 | Jan Lennard Struff |
| ----------------- | --------------- | ------------------ |
| Opening consensus | 82%             | 18%                |
| Latest consensus  | 84%             | 16%                |
| Court Shark model | 75%             | 25%                |

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

## Explore this matchup

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

### Player comparison

Article snapshot, Oct 9, 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 | Jan Lennard Struff |
| --------------------- | --------------- | ------------------ |
| Wins, last 10 matches | 80% (8-2)       | 50% (5-5)          |
| Wins, last 10 on hard | 80% (8-2)       | 40% (4-6)          |
| Head-to-head wins     | 77% (10-3)      | 23% (3-10)         |
| Model win probability | 75%             | 25%                |

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

### Win rate by surface

Article snapshot, Oct 9, 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 | Jan Lennard Struff |
| ------- | --------------- | ------------------ |
| Hard    | 70% (23-10)     | 50% (16-16)        |
| Clay    | 63% (5-3)       | 33% (3-6)          |
| Grass   | 67% (6-3)       | 67% (6-3)          |

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

### Serve and return on hard courts

Article snapshot, Oct 9, 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 | Jan Lennard Struff | Tour average, all years |
| ------------------- | --------------- | ------------------ | ----------------------- |
| Service games held  | 86%             | 83%                | 77%                     |
| Return games broken | 27%             | 19%                | 23%                     |
| Matches in sample   | 33              | 32                 |                         |

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

### Model win probability

Article snapshot, Oct 9, 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    | 75%             | 8-2                   |
| Jan Lennard Struff | 25%             | 5-5                   |

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

[Explore this matchup](https://courtshark.ai/h2h?p1=105526&p2=106421)

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

Match context

Players

Daniil Medvedev  
vs Jan Lennard Struff

Event

Rolex Shanghai Masters

Surface

Hard

Round

Second round

Date

Saturday, October 10

Article snapshot · Not live

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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=105526&p2=106421)
- [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 writes the Journal 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/)

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