WTA 250 · Round of 32 · Seoul
Final score & match stats
Playing styles and historical archetype record
Sakkari
🤖 Servebot
Schmiedlova
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,639 matches in our dataset. That is a small stylistic lean for Maria Sakkari here.
Servebot players often use high ace rate and dominant service to pressure the grinder's relentless consistency. 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 | Sakkari | Schmiedlova |
|---|---|---|
| W-L | 6–8 | - |
| Avg odds | 2.38 | - |
| ROI % | -14.4% | - |
| Units P/L | -2.01u | - |
Prior meetings and scores · 3 career meetings
3
Sakkari
0
Schmiedlova
Sep 17, 2018
Seoul
H Hard · Round of 32
Sep 26, 2016
Tashkent
H Hard · Round of 32
Apr 18, 2016
Istanbul
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Sakkari | Schmiedlova |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60.7% | 0% |
| 1st Serve Pts Won % | 56.2% | 0% |
| 2nd Serve Pts Won % | 47.9% | 0% |
| Aces / Match | 1.6 | 0 |
| Double Faults / Match | 2 | 0 |
| Break Points Saved % | 46.9% | 0% |
| Return | ||
| 1st Return Pts Won % | 28.8% | 0% |
| 2nd Return Pts Won % | 46.7% | 0% |
| BP Converted % | 74.8% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 44.6% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Maria Sakkari and Anna Karolina Schmiedlova face off in the Round of 32 at Seoul on Hard.
Maria Sakkari leads 3-0 over 3 previous meetings.
Maria Sakkari is 2-3 over the last 5 matches. Latest result: L vs Qinwen Zheng (Jun 15).
Anna Karolina Schmiedlova is 1-4 over the last 5 matches. Latest result: L vs Marina Stakusic (Sep 9).
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