ATP Masters 1000 · Round of 64 · ATP Masters 1000 Cincinnati
Final score
Playing styles and historical archetype record
Albot
🧱 The Wall
Cilic
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 59% vs 🧱 The Wall across 2,002 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 the wall's elite returner. 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 | Albot | Cilic |
|---|---|---|
| W-L | 4–5 | 4–6 |
| Avg odds | 2.36 | 1.95 |
| ROI % | +4.3% | -27.5% |
| Units P/L | +0.39u | -2.75u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
1
Albot
1
Cilic
Aug 5, 2019
ATP Masters 1000 Cincinnati
H Hard · Round of 64
Aug 8, 2016
Rio Olympics
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Albot | Cilic |
|---|---|---|
| Serve | ||
| 1st Serve In % | 66.2% | 60.9% |
| 1st Serve Pts Won % | 62% | 71.5% |
| 2nd Serve Pts Won % | 44% | 50.8% |
| Aces / Match | 1.1 | 6 |
| Double Faults / Match | 3.7 | 2.5 |
| Break Points Saved % | 58.3% | 56.6% |
| Return | ||
| 1st Return Pts Won % | 41.2% | 28.5% |
| 2nd Return Pts Won % | 56.6% | 46.6% |
| BP Converted % | 59.6% | 40% |
| Rally | ||
| Winners / Match | 15.5 | 18.4 |
| Unforced Errors / Match | 36 | 27.6 |
| Net Pts Won % | 31.3% | 76.6% |
| Total Pts Won % | 51% | 49.6% |
| Surface (Hard) | ||
| Hard Win % | 67% | 0% |
Last five matches per player
Matchup overview
Radu Albot and Marin Cilic face off in the Round of 64 at ATP Masters 1000 Cincinnati on Hard.
Radu Albot leads 1-1 over 2 previous meetings.
Radu Albot is 2-3 over the last 5 matches. Latest result: L vs Duje Ajdukovic (Jun 12).
Marin Cilic is 2-3 over the last 5 matches. Latest result: L vs Ugo Humbert (Jun 16).
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