ATP Masters 1000 · Round of 32 · ATP Masters 1000 Shanghai
Final score & match stats
Playing styles and historical archetype record
Medvedev
👑 The Complete Package
Fokina
🏹 Frontrunner
Matchup analysis
The 👑 The Complete Package archetype wins about 63% vs 🏹 Frontrunner across 90 matches in our dataset. That is a small stylistic lean for Daniil Medvedev here.
The Complete Package players often use elite serve & return and high bp conversion to pressure the frontrunner's fast starts. On Hard, that can swing with conditions.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Medvedev | Fokina |
|---|---|---|
| W-L | 13–5 | 6–5 |
| Avg odds | 1.66 | 1.78 |
| ROI % | +13.9% | -12.8% |
| Units P/L | +2.50u | -1.41u |
Prior meetings and scores · 7 career meetings
6
Medvedev
1
Fokina
Oct 6, 2025
ATP Masters 1000 Shanghai
H Hard · Round of 32
Sep 28, 2025
Beijing
H Hard · Round of 16
Aug 8, 2024
ATP Masters 1000 Canada
H Hard · Round of 32
Feb 29, 2024
Dubai
H Hard · Quarterfinals
Mar 15, 2023
ATP Masters 1000 Indian Wells
H Hard · Quarterfinals
Feb 14, 2023
Rotterdam
H Hard · Round of 32
May 3, 2021
ATP Masters 1000 Madrid
C Clay · Round of 32
Results vs. opponents both players faced · Last 12 months
Medvedev has a higher win rate against shared opponents (60% vs Fokina's 30%).
| Opponent | Medvedev | Fokina |
|---|---|---|
| Flavio Cobolli | L 36 75 46 | L 46 57 |
| Casper Ruud | L 36 57 | L 36 16 |
| Quentin Halys | W 67 63 64 62 | L 67 46 |
| Alex Michelsen | W 62 64 | W 64 64 |
| Learner Tien | L 46 06 36 | L 64 16 67 |
| Jenson Brooksby | W 62 61 | W 67 64 75 |
| Ugo Humbert | L 67 63 36 | L 36 75 67 |
| Reilly Opelka | W 36 75 61 | W 63 76 57 46 64 |
| Jesper de Jong | W 75 62 76 | L 06 26 |
| Brandon Nakashima | W 62 76 | L 67 46 |
Serve and return comparison · Last 90 days
| Stat | Medvedev | Fokina |
|---|---|---|
| Serve | ||
| 1st Serve In % | 69.7% | 67.7% |
| 1st Serve Pts Won % | 73.1% | 73.2% |
| 2nd Serve Pts Won % | 53.3% | 47.7% |
| Aces / Match | 5.2 | 6.1 |
| Double Faults / Match | 1.8 | 1.4 |
| Break Points Saved % | 48.9% | 44.9% |
| Return | ||
| 1st Return Pts Won % | 35.6% | 29.5% |
| 2nd Return Pts Won % | 54% | 48.3% |
| BP Converted % | 35.9% | 32.4% |
| Rally | ||
| Winners / Match | 19.8 | 21.4 |
| Unforced Errors / Match | 24.1 | 20.9 |
| Net Pts Won % | 74.6% | 69.2% |
| Total Pts Won % | 54.5% | 50.5% |
| Surface (Hard) | ||
| Hard Win % | 73% | 56% |
Last five matches per player
Flavio Cobolli
Mutua Madrid Open · Round of 16
Apr 28
Nicolai Budkov Kjaer
Mutua Madrid Open · Round of 32
Apr 27
Fabian Marozsan
Mutua Madrid Open · Round of 64
Apr 25
Matteo Berrettini
Rolex Monte-Carlo Masters · Round of 32
Apr 8
Francisco Cerundolo
Miami Open presented by Itau · Round of 32
Mar 23
Matchup overview
Daniil Medvedev and Alejandro Davidovich Fokina face off in the Round of 32 at ATP Masters 1000 Shanghai on Hard.
Daniil Medvedev leads 6-1 over 7 previous meetings.
Daniil Medvedev is 2-3 over the last 5 matches. Latest result: L vs Flavio Cobolli (Apr 28).
Alejandro Davidovich Fokina is 2-3 over the last 5 matches. Latest result: L vs Casper Ruud (Apr 27).
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