ATP 250 · Round of 16 · San Diego
Final score & match stats
Playing styles and historical archetype record
O'Connell
🤖 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 Christopher O'Connell 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 | O'Connell | Wolf |
|---|---|---|
| W-L | 5–7 | 2–2 |
| Avg odds | 2.36 | 2.09 |
| ROI % | -25.3% | +5.3% |
| Units P/L | -3.04u | +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
O'Connell
0
Wolf
Serve and return comparison · Last 90 days
| Stat | O'Connell | Wolf |
|---|---|---|
| Serve | ||
| 1st Serve In % | 59.8% | 59.9% |
| 1st Serve Pts Won % | 68.6% | 72.3% |
| 2nd Serve Pts Won % | 48.7% | 55.1% |
| Aces / Match | 7.2 | 4.7 |
| Double Faults / Match | 2.1 | 3.3 |
| Break Points Saved % | 57.1% | 54.2% |
| Return | ||
| 1st Return Pts Won % | 24.5% | 35% |
| 2nd Return Pts Won % | 43.2% | 57.1% |
| BP Converted % | 54% | 51.6% |
| Rally | ||
| Winners / Match | 26.1 | 31 |
| Unforced Errors / Match | 29.2 | 38 |
| Net Pts Won % | 61.8% | 63.6% |
| Total Pts Won % | 46.4% | 53.6% |
| Surface (Hard) | ||
| Hard Win % | 0% | 100% |
Last five matches per player
Matchup overview
Christopher O'Connell and J.J. Wolf face off in the Round of 16 at San Diego on Hard.
Christopher O'Connell leads 1-0 over 1 previous meeting.
Christopher O'Connell is 4-1 over the last 5 matches. Latest result: W vs Otto Virtanen (Jun 19).
J.J. Wolf is 5-0 over the last 5 matches. Latest result: W vs Alvaro Lopez San Martin (Jun 20).
Share this match
