WTA 1000 · Round of 32 · Miami
Final score & match stats
Playing styles and historical archetype record
Maria
🤖 Servebot
Stephens
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 56% vs ⚙️ Grinder across 476 matches in our dataset. That is a small stylistic lean for Tatjana Maria 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 | Maria | Stephens |
|---|---|---|
| W-L | 4–5 | 1–3 |
| Avg odds | 2.45 | 2.37 |
| ROI % | -24.3% | -60.3% |
| Units P/L | -2.19u | -2.41u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 3 career meetings
1
Maria
2
Stephens
Serve and return comparison · Last 90 days
| Stat | Maria | Stephens |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.8% | 67.6% |
| 1st Serve Pts Won % | 64.5% | 53% |
| 2nd Serve Pts Won % | 43.6% | 47.3% |
| Aces / Match | 4.5 | 0.7 |
| Double Faults / Match | 2.1 | 2.3 |
| Break Points Saved % | 52.5% | 57.6% |
| Return | ||
| 1st Return Pts Won % | 34.8% | 26.6% |
| 2nd Return Pts Won % | 56.6% | 42.3% |
| BP Converted % | 53.2% | 58.4% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 48.7% | 43% |
| Surface (Hard) | ||
| Hard Win % | 0% | 33% |
Last five matches per player
Matchup overview
Tatjana Maria and Sloane Stephens face off in the Round of 32 at Miami on Hard.
Tatjana Maria leads 1-2 over 3 previous meetings.
Tatjana Maria is 2-3 over the last 5 matches. Latest result: W vs Diae El Jardi (May 18).
Sloane Stephens is 1-4 over the last 5 matches. Latest result: L vs Veronika Podrez (Apr 13).
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