WTA 1000 · Round of 64 · Beijing
Final score & match stats
Playing styles and historical archetype record
Pavlyuchenkova
🤖 Servebot
Davis
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,674 matches in our dataset. That is a small stylistic lean for Anastasia Pavlyuchenkova here.
Servebot players often use high ace rate and dominant service to pressure the grinder's relentless consistency. 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 | Pavlyuchenkova | Davis |
|---|---|---|
| W-L | 0–1 | - |
| Avg odds | 2.38 | - |
| ROI % | -100.0% | - |
| Units P/L | -1.00u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 4 career meetings
2
Pavlyuchenkova
2
Davis
May 22, 2023
Strasbourg
C Clay · Quarterfinals
Oct 2, 2017
Beijing
H Hard · Round of 64
May 1, 2017
Rabat
C Clay · Quarterfinals
Jan 18, 2016
Australian Open
H Hard · Round of 128
Serve and return comparison · Last 90 days
| Stat | Pavlyuchenkova | Davis |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.7% | 0% |
| 1st Serve Pts Won % | 50% | 0% |
| 2nd Serve Pts Won % | 50% | 0% |
| Aces / Match | 4 | 0 |
| Double Faults / Match | 2 | 0 |
| Break Points Saved % | 50% | 0% |
| Return | ||
| 1st Return Pts Won % | 24.4% | 0% |
| 2nd Return Pts Won % | 61.9% | 0% |
| BP Converted % | 16.7% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 42.4% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Anastasia Pavlyuchenkova and Lauren Davis face off in the Round of 64 at Beijing on Hard.
Anastasia Pavlyuchenkova leads 2-2 over 4 previous meetings.
Anastasia Pavlyuchenkova is 0-5 over the last 5 matches. Latest result: L vs Alexandra Eala (Apr 21).
Lauren Davis is 2-3 over the last 5 matches. Latest result: L vs Eleejah Inisan (Jun 9).
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