ATP Masters 1000 · Round of 16 · ATP Masters 1000 Shanghai
Final score
Playing styles and historical archetype record
Tomic
🤖 Servebot
Gasquet
🤖 Servebot
Matchup analysis
Both Bernard Tomic and Richard Gasquet are 🤖 Servebot types. Mirror matchups usually come down to execution, fitness, and surface fit. Across 12,532 matches in our dataset, the historical split is about even.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Tomic | Gasquet |
|---|---|---|
| W-L | 3–8 | - |
| Avg odds | 2.59 | - |
| ROI % | -52.2% | - |
| Units P/L | -5.74u | - |
Prior meetings and scores · 4 career meetings
1
Tomic
3
Gasquet
Serve and return comparison · Last 90 days
| Stat | Tomic | Gasquet |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60.8% | 0% |
| 1st Serve Pts Won % | 70.5% | 0% |
| 2nd Serve Pts Won % | 48.5% | 0% |
| Aces / Match | 6.2 | 0 |
| Double Faults / Match | 2.8 | 0 |
| Break Points Saved % | 63.8% | 0% |
| Return | ||
| 1st Return Pts Won % | 32.5% | 0% |
| 2nd Return Pts Won % | 48.3% | 0% |
| BP Converted % | 47.2% | 0% |
| Rally | ||
| Winners / Match | 29.9 | 0 |
| Unforced Errors / Match | 38 | 0 |
| Net Pts Won % | 65.3% | 0% |
| Total Pts Won % | 50.8% | 0% |
| Surface (Hard) | ||
| Hard Win % | 50% | 0% |
Last five matches per player
Benjamin Bonzi
Libema Open · 2nd Round Qualifying
Jun 8
Conor Gannon
Dublin Challenger · Round of 32
Jun 8
Hayato Matsuoka
Texas Spine and Joint Men's Championship · Round of 32
Jun 3
Michael Mmoh
UAMS Health Little Rock Open · Quarterfinals
May 30
Blaise Bicknell
UAMS Health Little Rock Open · Round of 32
May 25
Matchup overview
Bernard Tomic and Richard Gasquet face off in the Round of 16 at ATP Masters 1000 Shanghai on Hard.
Bernard Tomic leads 1-3 over 4 previous meetings.
Bernard Tomic is 1-4 over the last 5 matches. Latest result: L vs Benjamin Bonzi (Jun 8).
Richard Gasquet is 2-3 over the last 5 matches. Latest result: L vs Jannik Sinner (May 28).
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