WTA 1000 · Round of 32 · Madrid
Final score & match stats
Playing styles and historical archetype record
Doi
⚙️ Grinder
Vekic
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,630 matches in our dataset. That is a small stylistic lean for Donna Vekic here.
Servebot players often use high ace rate and dominant service to pressure the grinder's relentless consistency. 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 | Doi | Vekic |
|---|---|---|
| W-L | - | 11–6 |
| Avg odds | - | 1.96 |
| ROI % | - | +6.0% |
| Units P/L | - | +1.02u |
Prior meetings and scores · 4 career meetings
2
Doi
2
Vekic
Sep 16, 2019
Osaka
H Hard · Round of 16
Jul 29, 2019
San Jose
H Hard · Round of 32
Feb 25, 2019
Acapulco
H Hard · Round of 32
May 8, 2017
Madrid
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Doi | Vekic |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 63.2% |
| 1st Serve Pts Won % | 0% | 68.5% |
| 2nd Serve Pts Won % | 0% | 39.5% |
| Aces / Match | 0 | 3.4 |
| Double Faults / Match | 0 | 4.6 |
| Break Points Saved % | 0% | 60.4% |
| Return | ||
| 1st Return Pts Won % | 0% | 30% |
| 2nd Return Pts Won % | 0% | 53.3% |
| BP Converted % | 0% | 51.3% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 47.9% |
| Surface (Clay) | ||
| Clay Win % | 0% | 60% |
Last five matches per player
Matchup overview
Misaki Doi and Donna Vekic face off in the Round of 32 at Madrid on Clay.
Misaki Doi leads 2-2 over 4 previous meetings.
Misaki Doi is 1-4 over the last 5 matches. Latest result: L vs Maria Sakkari (Sep 25).
Donna Vekic is 4-1 over the last 5 matches. Latest result: L vs Alexandra Eala (Jun 17).
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