ATP Challenger Tour · Round of 16 · Monterrey
Final score & match stats
Playing styles and historical archetype record
Jung
⚙️ Grinder
Zhu
⚙️ Grinder
Matchup analysis
Both Jason Jung and Evan Zhu are ⚙️ Grinder types. Mirror matchups usually come down to execution, fitness, and surface fit. Across 4,528 matches in our dataset, the historical split is about even.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Jung | Zhu |
|---|---|---|
| W-L | 0–5 | 7–2 |
| Avg odds | 3.41 | 2.46 |
| ROI % | -100.0% | +58.8% |
| Units P/L | -5.00u | +5.29u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Jung
0
Zhu
Serve and return comparison · Last 90 days
| Stat | Jung | Zhu |
|---|---|---|
| Serve | ||
| 1st Serve In % | 67.9% | 61% |
| 1st Serve Pts Won % | 65.2% | 68.2% |
| 2nd Serve Pts Won % | 40% | 52.9% |
| Aces / Match | 3.5 | 4.5 |
| Double Faults / Match | 2 | 3.2 |
| Break Points Saved % | 52.1% | 53.6% |
| Return | ||
| 1st Return Pts Won % | 31.9% | 34.1% |
| 2nd Return Pts Won % | 50.7% | 51.2% |
| BP Converted % | 58.5% | 47.3% |
| Rally | ||
| Winners / Match | 13 | 24 |
| Unforced Errors / Match | 22.5 | 38 |
| Net Pts Won % | 62.5% | 66.7% |
| Total Pts Won % | 48% | 50.7% |
| Surface (Hard) | ||
| Hard Win % | 0% | 33% |
Last five matches per player
Matchup overview
Jason Jung and Evan Zhu face off in the Round of 16 at Monterrey on Hard.
Jason Jung leads 1-0 over 1 previous meeting.
Jason Jung is 0-5 over the last 5 matches. Latest result: L vs Zdenek Kolar (Jun 9).
Evan Zhu is 2-3 over the last 5 matches. Latest result: L vs Hoyoung Roh (Jun 16).
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