ATP Masters 1000 · Round of 16 · ATP Masters 1000 Shanghai
Final score & match stats
Playing styles and historical archetype record
Auger-Aliassime
🤖 Servebot
Musetti
💥 Big Hitter
Matchup analysis
The 🤖 Servebot archetype wins about 54% vs 💥 Big Hitter across 5,607 matches in our dataset. That is a small stylistic lean for Felix Auger-Aliassime here.
Servebot players often use high ace rate and dominant service to pressure the big hitter's power groundstrokes. 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 | Auger-Aliassime | Musetti |
|---|---|---|
| W-L | 16–6 | 4–3 |
| Avg odds | 1.61 | 1.42 |
| ROI % | -5.5% | -25.0% |
| Units P/L | -1.20u | -1.75u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 6 career meetings
3
Auger-Aliassime
3
Musetti
Oct 8, 2025
ATP Masters 1000 Shanghai
H Hard · Round of 16
Mar 23, 2025
ATP Masters 1000 Miami
H Hard · Round of 32
Oct 15, 2022
Florence
H Hard · Semifinals
Apr 13, 2022
ATP Masters 1000 Monte-Carlo
C Clay · Round of 32
May 17, 2021
Lyon
C Clay · Round of 32
Apr 19, 2021
Barcelona
C Clay · Round of 32
Results vs. opponents both players faced · Last 12 months
Auger-Aliassime has a higher win rate against shared opponents (60% vs Musetti's 40%).
| Opponent | Auger-Aliassime | Musetti |
|---|---|---|
| Jiri Lehecka | W 63 76 | L 36 36 |
| Tallon Griekspoor | W 76 62 | W 64 75 |
| Arthur Fils | L 36 67 | L 36 46 |
| Jannik Sinner | L 36 46 | L 16 46 26 |
| Valentin Vacherot | W 62 62 | L 67 57 |
| Marton Fucsovics | W 76 75 | L 57 16 |
| Gabriel Diallo | W 67 63 63 | W 64 63 |
| Daniil Medvedev | L 46 26 | W 75 64 |
| Giovanni Mpetshi Perricard | W 64 64 | L 46 67 |
| Alex De Minaur | L 36 26 | W 75 36 75 |
Serve and return comparison · Last 90 days
| Stat | Auger-Aliassime | Musetti |
|---|---|---|
| Serve | ||
| 1st Serve In % | 68.2% | 60.6% |
| 1st Serve Pts Won % | 75% | 72.7% |
| 2nd Serve Pts Won % | 55.9% | 48.9% |
| Aces / Match | 7.8 | 3.1 |
| Double Faults / Match | 1.7 | 2.4 |
| Break Points Saved % | 53.1% | 53.6% |
| Return | ||
| 1st Return Pts Won % | 24.7% | 29% |
| 2nd Return Pts Won % | 46.8% | 45.3% |
| BP Converted % | 28.8% | 25.8% |
| Rally | ||
| Winners / Match | 20.8 | 19.6 |
| Unforced Errors / Match | 22.3 | 25 |
| Net Pts Won % | 74.9% | 70.3% |
| Total Pts Won % | 49.9% | 48.7% |
| Surface (Hard) | ||
| Hard Win % | 78% | 0% |
Last five matches per player
Alexander Blockx
Mutua Madrid Open · Round of 32
Apr 27
Vilius Gaubas
Mutua Madrid Open · Round of 64
Apr 25
Jannik Sinner
Rolex Monte-Carlo Masters · Quarterfinals
Apr 10
Marin Cilic
Rolex Monte-Carlo Masters · Round of 32
Apr 8
Terence Atmane
Miami Open presented by Itau · Round of 32
Mar 23
Jiri Lehecka
Mutua Madrid Open · Round of 16
Apr 28
Tallon Griekspoor
Mutua Madrid Open · Round of 32
Apr 26
Hubert Hurkacz
Mutua Madrid Open · Round of 64
Apr 24
Arthur Fils
Barcelona Open Banc Sabadell · Quarterfinals
Apr 17
Corentin Moutet
Barcelona Open Banc Sabadell · Round of 16
Apr 16
Matchup overview
Felix Auger-Aliassime and Lorenzo Musetti face off in the Round of 16 at ATP Masters 1000 Shanghai on Hard.
Felix Auger-Aliassime leads 3-3 over 6 previous meetings.
Felix Auger-Aliassime is 2-3 over the last 5 matches. Latest result: L vs Alexander Blockx (Apr 27).
Lorenzo Musetti is 3-2 over the last 5 matches. Latest result: L vs Jiri Lehecka (Apr 28).
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