ATP Challenger Tour · Round of 32 · Vercelli
Final score
Playing styles and historical archetype record
Daniel
🤖 Servebot
Kovalik
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 58% vs ⚙️ Grinder across 5,936 matches in our dataset. That is a small stylistic lean for Taro Daniel 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 | Daniel | Kovalik |
|---|---|---|
| W-L | 18–7 | 0–1 |
| Avg odds | 2.11 | 2.07 |
| ROI % | +32.2% | -100.0% |
| Units P/L | +8.06u | -1.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
2
Daniel
0
Kovalik
Jul 6, 2016
Braunschweig
C Clay · Round of 32
Apr 11, 2015
Vercelli
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Daniel | Kovalik |
|---|---|---|
| Serve | ||
| 1st Serve In % | 61.8% | 59.2% |
| 1st Serve Pts Won % | 66.6% | 59.5% |
| 2nd Serve Pts Won % | 52.1% | 43.8% |
| Aces / Match | 4.1 | 1 |
| Double Faults / Match | 1.5 | 3 |
| Break Points Saved % | 65.5% | 35% |
| Return | ||
| 1st Return Pts Won % | 31.5% | 27% |
| 2nd Return Pts Won % | 49.4% | 42.3% |
| BP Converted % | 41% | 50% |
| Rally | ||
| Winners / Match | 24 | 0 |
| Unforced Errors / Match | 26.9 | 0 |
| Net Pts Won % | 70.1% | 0% |
| Total Pts Won % | 50.3% | 42.5% |
| Surface (Clay) | ||
| Clay Win % | 81% | 0% |
Last five matches per player
Matchup overview
Taro Daniel and Jozef Kovalik face off in the Round of 32 at Vercelli on Clay.
Taro Daniel leads 2-0 over 2 previous meetings.
Taro Daniel is 5-0 over the last 5 matches. Latest result: W vs Aleksandr Shevchenko (Jun 13).
Jozef Kovalik is 2-3 over the last 5 matches. Latest result: L vs Dimitar Kuzmanov (Jun 19).
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