WTA 1000 · Round of 32 · Rome
Final score & match stats
Playing styles and historical archetype record
Muguruza
🤖 Servebot
Ostapenko
👑 The Complete Package
Matchup analysis
The 👑 The Complete Package archetype wins about 59% vs 🤖 Servebot across 2,184 matches in our dataset. That is a small stylistic lean for Jelena Ostapenko here.
The Complete Package players often use elite serve & return and high bp conversion to pressure the servebot's high ace rate. 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 | Muguruza | Ostapenko |
|---|---|---|
| W-L | - | 9–6 |
| Avg odds | - | 1.83 |
| ROI % | - | -2.3% |
| Units P/L | - | -0.34u |
Prior meetings and scores · 5 career meetings
3
Muguruza
2
Ostapenko
Feb 21, 2022
Doha
H Hard · Quarterfinals
Oct 23, 2017
Singapore
H Hard · Round Robin
Sep 25, 2017
Wuhan
H Hard · Quarterfinals
May 15, 2017
Rome
C Clay · Round of 32
May 9, 2016
Rome
C Clay · Round of 16
Serve and return comparison · Last 90 days
| Stat | Muguruza | Ostapenko |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 58.4% |
| 1st Serve Pts Won % | 0% | 66.2% |
| 2nd Serve Pts Won % | 0% | 43.9% |
| Aces / Match | 0 | 4 |
| Double Faults / Match | 0 | 7.1 |
| Break Points Saved % | 0% | 58.9% |
| Return | ||
| 1st Return Pts Won % | 0% | 41.6% |
| 2nd Return Pts Won % | 0% | 61.1% |
| BP Converted % | 0% | 56.1% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 53% |
| Surface (Clay) | ||
| Clay Win % | 0% | 56% |
Last five matches per player
Matchup overview
Garbine Muguruza and Jelena Ostapenko face off in the Round of 32 at Rome on Clay.
Garbine Muguruza leads 3-2 over 5 previous meetings.
Garbine Muguruza is 0-5 over the last 5 matches. Latest result: L vs Linda Noskova (Jan 30).
Jelena Ostapenko is 2-3 over the last 5 matches. Latest result: L vs Magda Linette (May 27).
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