WTA 1000 · Round of 32 · Seoul
Final score & match stats
Playing styles and historical archetype record
Seidel
⚙️ Grinder
Ponchet
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 55% vs ⚙️ Grinder across 476 matches in our dataset. That is a small stylistic lean for Jessika Ponchet 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 | Seidel | Ponchet |
|---|---|---|
| W-L | 0–4 | 0–1 |
| Avg odds | 2.79 | 5.83 |
| ROI % | -100.0% | -100.0% |
| Units P/L | -4.00u | -1.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Seidel
0
Ponchet
Serve and return comparison · Last 90 days
| Stat | Seidel | Ponchet |
|---|---|---|
| Serve | ||
| 1st Serve In % | 55.3% | 50.5% |
| 1st Serve Pts Won % | 62.1% | 70.4% |
| 2nd Serve Pts Won % | 38.1% | 45.3% |
| Aces / Match | 1 | 4 |
| Double Faults / Match | 5.4 | 4 |
| Break Points Saved % | 38.5% | 50% |
| Return | ||
| 1st Return Pts Won % | 27.4% | 28% |
| 2nd Return Pts Won % | 51.2% | 40.5% |
| BP Converted % | 30% | 50% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 42.8% | 46.9% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Ella Seidel and Jessika Ponchet face off in the Round of 32 at Seoul on Hard.
Ella Seidel leads 1-0 over 1 previous meeting.
Ella Seidel is 0-5 over the last 5 matches. Latest result: L vs Emiliana Arango (May 18).
Jessika Ponchet is 2-3 over the last 5 matches. Latest result: L vs Hailey Baptiste (Apr 13).
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