WTA 1000 · Round of 32 · Rome
Final score & match stats
Playing styles and historical archetype record
Konta
🤖 Servebot
Stephens
⚙️ 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 Johanna Konta 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 | Konta | Stephens |
|---|---|---|
| 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 · 4 career meetings
4
Konta
0
Stephens
Jul 1, 2019
Wimbledon
G Grass · Round of 32
May 27, 2019
Roland Garros
C Clay · Quarterfinals
May 13, 2019
Rome
C Clay · Round of 32
Dec 31, 2018
Brisbane
H Hard · Round of 32
Serve and return comparison · Last 90 days
| Stat | Konta | Stephens |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 65.6% |
| 1st Serve Pts Won % | 0% | 48.7% |
| 2nd Serve Pts Won % | 0% | 46.8% |
| Aces / Match | 0 | 0.8 |
| Double Faults / Match | 0 | 2.3 |
| Break Points Saved % | 0% | 56.2% |
| Return | ||
| 1st Return Pts Won % | 0% | 25.1% |
| 2nd Return Pts Won % | 0% | 39.4% |
| BP Converted % | 0% | 49.1% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 0% | 40.1% |
| Surface (Clay) | ||
| Clay Win % | 0% | 17% |
Last five matches per player
Matchup overview
Johanna Konta and Sloane Stephens face off in the Round of 32 at Rome on Clay.
Johanna Konta leads 4-0 over 4 previous meetings.
Johanna Konta is 4-1 over the last 5 matches. Latest result: L vs Karolina Muchova (Aug 16).
Sloane Stephens is 1-4 over the last 5 matches. Latest result: L vs Sara Bejlek (May 25).
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