WTA 250 · Round of 16 · Seoul
Final score & match stats
Playing styles and historical archetype record
Kasintseva
⚙️ Grinder
Marino
🤖 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 Rebecca Marino 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 | Kasintseva | Marino |
|---|---|---|
| W-L | 3–3 | - |
| Avg odds | 1.91 | - |
| ROI % | -7.8% | - |
| Units P/L | -0.47u | - |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Kasintseva
0
Marino
Serve and return comparison · Last 90 days
| Stat | Kasintseva | Marino |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60.3% | 0% |
| 1st Serve Pts Won % | 57.1% | 0% |
| 2nd Serve Pts Won % | 39.1% | 0% |
| Aces / Match | 1 | 0 |
| Double Faults / Match | 6 | 0 |
| Break Points Saved % | 16.7% | 0% |
| Return | ||
| 1st Return Pts Won % | 31.6% | 0% |
| 2nd Return Pts Won % | 44.4% | 0% |
| BP Converted % | 25% | 0% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 43.1% | 0% |
| Surface (Hard) | ||
| Hard Win % | 100% | 0% |
Last five matches per player
Matchup overview
Victoria Jimenez Kasintseva and Rebecca Marino face off in the Round of 16 at Seoul on Hard.
Victoria Jimenez Kasintseva leads 1-0 over 1 previous meeting.
Victoria Jimenez Kasintseva is 4-1 over the last 5 matches. Latest result: W vs Marie Weckerle (Jun 17).
Rebecca Marino is 2-3 over the last 5 matches. Latest result: W vs Martina Trevisan (Sep 8).
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