WTA 500 · Round of 32 · San Jose
Final score & match stats
Playing styles and historical archetype record
Sakkari
🤖 Servebot
Mchale
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,630 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 | Mchale |
|---|---|---|
| W-L | 6–8 | - |
| Avg odds | 2.38 | - |
| ROI % | -14.4% | - |
| Units P/L | -2.01u | - |
Prior meetings and scores · 4 career meetings
2
Sakkari
2
Mchale
Mar 4, 2019
Indian Wells
H Hard · Round of 128
Jul 30, 2018
San Jose
H Hard · Round of 32
Oct 9, 2017
Tianjin
H Hard · Round of 16
Jun 12, 2017
Nottingham
G Grass · Round of 16
Serve and return comparison · Last 90 days
| Stat | Sakkari | Mchale |
|---|---|---|
| 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 Christina Mchale face off in the Round of 32 at San Jose on Hard.
Maria Sakkari leads 2-2 over 4 previous meetings.
Maria Sakkari is 2-3 over the last 5 matches. Latest result: L vs Qinwen Zheng (Jun 15).
Christina Mchale is 1-4 over the last 5 matches. Latest result: L vs Sara Sorribes Tormo (Jun 27).
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