ATP Masters 1000 · Round of 64 · ATP Masters 1000 Cincinnati
Final score
Playing styles and historical archetype record
Gasquet
🤖 Servebot
Wolf
👑 The Complete Package
Matchup analysis
The 🤖 Servebot archetype wins about 55% vs 👑 The Complete Package across 1,398 matches in our dataset. That is a small stylistic lean for Richard Gasquet here.
Servebot players often use high ace rate and dominant service to pressure the the complete package's elite serve & return. 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 | Gasquet | Wolf |
|---|---|---|
| W-L | - | 2–2 |
| Avg odds | - | 2.09 |
| ROI % | - | +5.3% |
| Units P/L | - | +0.21u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Gasquet
0
Wolf
Serve and return comparison · Last 90 days
| Stat | Gasquet | Wolf |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 59.9% |
| 1st Serve Pts Won % | 0% | 72.3% |
| 2nd Serve Pts Won % | 0% | 55.1% |
| Aces / Match | 0 | 4.7 |
| Double Faults / Match | 0 | 3.3 |
| Break Points Saved % | 0% | 54.2% |
| Return | ||
| 1st Return Pts Won % | 0% | 35% |
| 2nd Return Pts Won % | 0% | 57.1% |
| BP Converted % | 0% | 51.6% |
| Rally | ||
| Winners / Match | 0 | 31 |
| Unforced Errors / Match | 0 | 38 |
| Net Pts Won % | 0% | 63.6% |
| Total Pts Won % | 0% | 53.6% |
| Surface (Hard) | ||
| Hard Win % | 0% | 100% |
Last five matches per player
Matchup overview
Richard Gasquet and J.J. Wolf face off in the Round of 64 at ATP Masters 1000 Cincinnati on Hard.
Richard Gasquet leads 1-0 over 1 previous meeting.
Richard Gasquet is 2-3 over the last 5 matches. Latest result: L vs Jannik Sinner (May 28).
J.J. Wolf is 5-0 over the last 5 matches. Latest result: W vs Alvaro Lopez San Martin (Jun 20).
Share this match
