WTA 1000 · Round of 64 · Rome
Final score & match stats
Playing styles and historical archetype record
Muchova
🤖 Servebot
Trevisan
🛡️ The Spoiler
Matchup analysis
The 🤖 Servebot archetype wins about 59% vs 🛡️ The Spoiler across 512 matches in our dataset. That is a small stylistic lean for Karolina Muchova here.
Servebot players often use high ace rate and dominant service to pressure the the spoiler's strong court coverage. 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 | Muchova | Trevisan |
|---|---|---|
| W-L | 11–5 | 7–7 |
| Avg odds | 2.38 | 1.72 |
| ROI % | +85.6% | -22.4% |
| Units P/L | +13.69u | -3.14u |
Prior meetings and scores · 3 career meetings
3
Muchova
0
Trevisan
May 8, 2023
Rome
C Clay · Round of 64
Mar 6, 2023
Indian Wells
H Hard · Round of 32
Feb 13, 2023
Doha
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Muchova | Trevisan |
|---|---|---|
| Serve | ||
| 1st Serve In % | 67% | 69.5% |
| 1st Serve Pts Won % | 63.2% | 56.5% |
| 2nd Serve Pts Won % | 46.1% | 39.3% |
| Aces / Match | 3.5 | 0.5 |
| Double Faults / Match | 1 | 5.4 |
| Break Points Saved % | 56.8% | 48.3% |
| Return | ||
| 1st Return Pts Won % | 34.6% | 45.2% |
| 2nd Return Pts Won % | 49.6% | 62.1% |
| BP Converted % | 57.4% | 46.2% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 49% | 51.2% |
| Surface (Clay) | ||
| Clay Win % | 69% | 56% |
Last five matches per player
Matchup overview
Karolina Muchova and Martina Trevisan face off in the Round of 64 at Rome on Clay.
Karolina Muchova leads 3-0 over 3 previous meetings.
Karolina Muchova is 3-2 over the last 5 matches. Latest result: W vs Clara Tauson (Jun 25).
Martina Trevisan is 1-4 over the last 5 matches. Latest result: L vs Taylor Townsend (Jun 20).
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