WTA 1000 · Round of 32 · Madrid
Final score & match stats
Playing styles and historical archetype record
Stephens
⚙️ Grinder
Stosur
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,639 matches in our dataset. That is a small stylistic lean for Samantha Stosur 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 | Stephens | Stosur |
|---|---|---|
| W-L | 1–4 | - |
| Avg odds | 3.74 | - |
| ROI % | -68.2% | - |
| Units P/L | -3.41u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 3 career meetings
2
Stephens
1
Stosur
May 7, 2018
Madrid
C Clay · Round of 32
Aug 3, 2015
Washington
H Hard · Semifinals
May 18, 2015
Strasbourg
C Clay · Semifinals
Serve and return comparison · Last 90 days
| Stat | Stephens | Stosur |
|---|---|---|
| Serve | ||
| 1st Serve In % | 65.6% | 0% |
| 1st Serve Pts Won % | 48.7% | 0% |
| 2nd Serve Pts Won % | 46.8% | 0% |
| Aces / Match | 0.8 | 0 |
| Double Faults / Match | 2.3 | 0 |
| Break Points Saved % | 56.2% | 0% |
| Return | ||
| 1st Return Pts Won % | 25.1% | 0% |
| 2nd Return Pts Won % | 39.4% | 0% |
| BP Converted % | 49.1% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 40.1% | 0% |
| Surface (Clay) | ||
| Clay Win % | 17% | 0% |
Last five matches per player
Matchup overview
Sloane Stephens and Samantha Stosur face off in the Round of 32 at Madrid on Clay.
Sloane Stephens leads 2-1 over 3 previous meetings.
Sloane Stephens is 1-4 over the last 5 matches. Latest result: L vs Sara Bejlek (May 25).
Samantha Stosur is 1-4 over the last 5 matches. Latest result: L vs Harmony Tan (May 16).
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