WTA 1000 · Round of 16 · Madrid
Final score & match stats
Playing styles and historical archetype record
Kasatkina
🪃 Counterpuncher
Muguruza
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 54% vs 🪃 Counterpuncher across 2,103 matches in our dataset. That is a small stylistic lean for Garbine Muguruza here.
Servebot players often use high ace rate and dominant service to pressure the counterpuncher's elite bp conversion. On Clay, that can swing with conditions.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Kasatkina | Muguruza |
|---|---|---|
| W-L | 7–8 | - |
| Avg odds | 2.68 | - |
| ROI % | -34.1% | - |
| Units P/L | -5.11u | - |
Prior meetings and scores · 6 career meetings
3
Kasatkina
3
Muguruza
Jan 10, 2022
Sydney
H Hard · Quarterfinals
Feb 24, 2020
Doha
H Hard · Round of 64
May 7, 2018
Madrid
C Clay · Round of 16
Feb 19, 2018
Dubai
H Hard · Semifinals
Jan 2, 2017
Brisbane
H Hard · Round of 16
Apr 27, 2015
Marrakech
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Kasatkina | Muguruza |
|---|---|---|
| Serve | ||
| 1st Serve In % | 71.2% | 0% |
| 1st Serve Pts Won % | 55.6% | 0% |
| 2nd Serve Pts Won % | 40.4% | 0% |
| Aces / Match | 3 | 0 |
| Double Faults / Match | 5 | 0 |
| Break Points Saved % | 56.3% | 0% |
| Return | ||
| 1st Return Pts Won % | 44.1% | 0% |
| 2nd Return Pts Won % | 60.4% | 0% |
| BP Converted % | 48.7% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 50.5% | 0% |
| Surface (Clay) | ||
| Clay Win % | 63% | 0% |
Last five matches per player
Matchup overview
Daria Kasatkina and Garbine Muguruza face off in the Round of 16 at Madrid on Clay.
Daria Kasatkina leads 3-3 over 6 previous meetings.
Daria Kasatkina is 2-3 over the last 5 matches. Latest result: L vs Anna Blinkova (Jun 13).
Garbine Muguruza is 0-5 over the last 5 matches. Latest result: L vs Linda Noskova (Jan 30).
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