ATP 250 · Round of 32 · Brisbane
Final score & match stats
Playing styles and historical archetype record
Duckworth
🤖 Servebot
Wolf
👑 The Complete Package
Matchup analysis
The 🤖 Servebot archetype wins about 55% vs 👑 The Complete Package across 1,398 matches in our dataset. That is a small stylistic lean for James Duckworth here.
Servebot players often use high ace rate and dominant service to pressure the the complete package's elite serve & return. 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 | Duckworth | Wolf |
|---|---|---|
| W-L | 11–7 | 2–2 |
| Avg odds | 2.47 | 2.09 |
| ROI % | -11.1% | +5.3% |
| Units P/L | -1.99u | +0.21u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Duckworth
0
Wolf
Serve and return comparison · Last 90 days
| Stat | Duckworth | Wolf |
|---|---|---|
| Serve | ||
| 1st Serve In % | 57.5% | 59.9% |
| 1st Serve Pts Won % | 75.9% | 72.3% |
| 2nd Serve Pts Won % | 59.3% | 55.1% |
| Aces / Match | 7.1 | 4.7 |
| Double Faults / Match | 3.3 | 3.3 |
| Break Points Saved % | 71.8% | 54.2% |
| Return | ||
| 1st Return Pts Won % | 27.6% | 35% |
| 2nd Return Pts Won % | 48.5% | 57.1% |
| BP Converted % | 43.5% | 51.6% |
| Rally | ||
| Winners / Match | 27 | 31 |
| Unforced Errors / Match | 35.6 | 38 |
| Net Pts Won % | 72.4% | 63.6% |
| Total Pts Won % | 53.2% | 53.6% |
| Surface (Hard) | ||
| Hard Win % | 0% | 100% |
Last five matches per player
Matchup overview
James Duckworth and J.J. Wolf face off in the Round of 32 at Brisbane on Hard.
James Duckworth leads 1-0 over 1 previous meeting.
James Duckworth is 1-4 over the last 5 matches. Latest result: L vs Giles Hussey (Jun 20).
J.J. Wolf is 5-0 over the last 5 matches. Latest result: W vs Alvaro Lopez San Martin (Jun 20).
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