WTA 1000 · Round of 32 · Wuhan
Final score & match stats
Playing styles and historical archetype record
Siniakova
🏹 Frontrunner
Garcia
🤖 Servebot
Matchup analysis
The 🏹 Frontrunner archetype wins about 53% vs 🤖 Servebot across 1,071 matches in our dataset. That is a small stylistic lean for Katerina Siniakova here.
Frontrunner players often use fast starts and aggressive openers to pressure the servebot's high ace rate. 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 | Siniakova | Garcia |
|---|---|---|
| W-L | 8–6 | - |
| Avg odds | 2.03 | - |
| ROI % | -3.9% | - |
| Units P/L | -0.55u | - |
Prior meetings and scores · 6 career meetings
4
Siniakova
2
Garcia
Jan 9, 2023
Adelaide 2
H Hard · Round of 16
May 17, 2021
Parma
C Clay · Quarterfinals
Sep 24, 2018
Wuhan
H Hard · Round of 32
Jul 24, 2017
Bastad
C Clay · Semifinals
Aug 29, 2016
US Open
H Hard · Round of 64
Jun 27, 2016
Wimbledon
G Grass · Round of 64
Serve and return comparison · Last 90 days
| Stat | Siniakova | Garcia |
|---|---|---|
| Serve | ||
| 1st Serve In % | 62.5% | 0% |
| 1st Serve Pts Won % | 64.7% | 0% |
| 2nd Serve Pts Won % | 51.5% | 0% |
| Aces / Match | 1 | 0 |
| Double Faults / Match | 3.7 | 0 |
| Break Points Saved % | 71.9% | 0% |
| Return | ||
| 1st Return Pts Won % | 43.4% | 0% |
| 2nd Return Pts Won % | 55.3% | 0% |
| BP Converted % | 49.5% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 53.7% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Katerina Siniakova and Caroline Garcia face off in the Round of 32 at Wuhan on Hard.
Katerina Siniakova leads 4-2 over 6 previous meetings.
Katerina Siniakova is 3-2 over the last 5 matches. Latest result: L vs Jessica Pegula (Jun 17).
Caroline Garcia is 2-3 over the last 5 matches. Latest result: L vs Kamilla Rakhimova (Aug 25).
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