ATP Masters 1000 · Round of 64 · ATP Masters 1000 Miami
Final score & match stats
Playing styles and historical archetype record
Rublev
🤖 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 Andrey Rublev 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 | Rublev | Wolf |
|---|---|---|
| W-L | 11–6 | 2–2 |
| Avg odds | 2.22 | 2.09 |
| ROI % | -7.8% | +5.3% |
| Units P/L | -1.33u | +0.21u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
2
Rublev
0
Wolf
Mar 24, 2023
ATP Masters 1000 Miami
H Hard · Round of 64
Aug 5, 2022
Washington
H Hard · Quarterfinals
Serve and return comparison · Last 90 days
| Stat | Rublev | Wolf |
|---|---|---|
| Serve | ||
| 1st Serve In % | 63% | 59.9% |
| 1st Serve Pts Won % | 70.1% | 72.3% |
| 2nd Serve Pts Won % | 53.7% | 55.1% |
| Aces / Match | 4.9 | 4.7 |
| Double Faults / Match | 2.2 | 3.3 |
| Break Points Saved % | 58.5% | 54.2% |
| Return | ||
| 1st Return Pts Won % | 32.6% | 35% |
| 2nd Return Pts Won % | 53.1% | 57.1% |
| BP Converted % | 41.4% | 51.6% |
| Rally | ||
| Winners / Match | 20 | 31 |
| Unforced Errors / Match | 19.9 | 38 |
| Net Pts Won % | 64.3% | 63.6% |
| Total Pts Won % | 52.1% | 53.6% |
| Surface (Hard) | ||
| Hard Win % | 0% | 100% |
Last five matches per player
Matchup overview
Andrey Rublev and J.J. Wolf face off in the Round of 64 at ATP Masters 1000 Miami on Hard.
Andrey Rublev leads 2-0 over 2 previous meetings.
Andrey Rublev is 3-2 over the last 5 matches. Latest result: L vs Hubert Hurkacz (Jun 16).
J.J. Wolf is 5-0 over the last 5 matches. Latest result: W vs Alvaro Lopez San Martin (Jun 20).
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