ATP Masters 1000 · Round of 32 · ATP Masters 1000 Shanghai
Final score
Playing styles and historical archetype record
Cilic
🤖 Servebot
Edmund
💥 Big Hitter
Matchup analysis
The 🤖 Servebot archetype wins about 58% vs 💥 Big Hitter across 4,477 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 big hitter's power groundstrokes. 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 | Cilic | Edmund |
|---|---|---|
| W-L | 4–6 | - |
| Avg odds | 1.95 | - |
| ROI % | -27.5% | - |
| Units P/L | -2.75u | - |
Prior meetings and scores · 3 career meetings
3
Cilic
0
Edmund
Results vs. opponents both players faced · Last 12 months
Cilic has a higher win rate against shared opponents (100% vs Edmund's 0%).
| Opponent | Cilic | Edmund |
|---|---|---|
| Jack Pinnington Jones | W 61 64 | L 46 67 |
Serve and return comparison · Last 90 days
| Stat | Cilic | Edmund |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60.9% | 0% |
| 1st Serve Pts Won % | 71.5% | 0% |
| 2nd Serve Pts Won % | 50.8% | 0% |
| Aces / Match | 6 | 0 |
| Double Faults / Match | 2.5 | 0 |
| Break Points Saved % | 56.6% | 0% |
| Return | ||
| 1st Return Pts Won % | 28.5% | 0% |
| 2nd Return Pts Won % | 46.6% | 0% |
| BP Converted % | 40% | 0% |
| Rally | ||
| Winners / Match | 18.4 | 0 |
| Unforced Errors / Match | 27.6 | 0 |
| Net Pts Won % | 76.6% | 0% |
| Total Pts Won % | 49.6% | 0% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Marin Cilic and Kyle Edmund face off in the Round of 32 at ATP Masters 1000 Shanghai on Hard.
Marin Cilic leads 3-0 over 3 previous meetings.
Marin Cilic is 2-3 over the last 5 matches. Latest result: L vs Ugo Humbert (Jun 16).
Kyle Edmund is 3-2 over the last 5 matches. Latest result: L vs Jack Pinnington Jones (Jul 13).
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