ATP 250 · Round of 16 · Chennai
Final score
Playing styles and historical archetype record
Kovalik
⚙️ Grinder
Cilic
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 58% vs ⚙️ Grinder across 5,936 matches in our dataset. That is a small stylistic lean for Marin Cilic 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 | Kovalik | Cilic |
|---|---|---|
| W-L | 0–1 | 4–6 |
| Avg odds | 2.07 | 1.95 |
| ROI % | -100.0% | -27.5% |
| Units P/L | -1.00u | -2.75u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Kovalik
0
Cilic
Serve and return comparison · Last 90 days
| Stat | Kovalik | Cilic |
|---|---|---|
| Serve | ||
| 1st Serve In % | 59.2% | 60.9% |
| 1st Serve Pts Won % | 59.5% | 71.5% |
| 2nd Serve Pts Won % | 43.8% | 50.8% |
| Aces / Match | 1 | 6 |
| Double Faults / Match | 3 | 2.5 |
| Break Points Saved % | 35% | 56.6% |
| Return | ||
| 1st Return Pts Won % | 27% | 28.5% |
| 2nd Return Pts Won % | 42.3% | 46.6% |
| BP Converted % | 50% | 40% |
| Rally | ||
| Winners / Match | 0 | 18.4 |
| Unforced Errors / Match | 0 | 27.6 |
| Net Pts Won % | 0% | 76.6% |
| Total Pts Won % | 42.5% | 49.6% |
| Surface (Hard) | ||
| Hard Win % | 67% | 0% |
Last five matches per player
Matchup overview
Jozef Kovalik and Marin Cilic face off in the Round of 16 at Chennai on Hard.
Jozef Kovalik leads 1-0 over 1 previous meeting.
Jozef Kovalik is 2-3 over the last 5 matches. Latest result: L vs Dimitar Kuzmanov (Jun 19).
Marin Cilic is 2-3 over the last 5 matches. Latest result: L vs Ugo Humbert (Jun 16).
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