ATP Challenger Tour · Round of 32 · Ningbo
Final score
Playing styles and historical archetype record
Li
🤖 Servebot
Jung
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 58% vs ⚙️ Grinder across 5,334 matches in our dataset. That is a small stylistic lean for Zhe Li here.
Servebot players often use high ace rate and dominant service to pressure the grinder's relentless consistency. 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 | Li | Jung |
|---|---|---|
| W-L | - | 0–5 |
| Avg odds | - | 3.41 |
| ROI % | - | -100.0% |
| Units P/L | - | -5.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 5 career meetings
1
Li
4
Jung
Aug 25, 2023
Zhuhai
H Hard · Semifinals
May 13, 2019
Gwangju
H Hard · Quarterfinals
May 11, 2018
Busan
H Hard · Round of 16
Oct 9, 2017
Ningbo
H Hard · Round of 32
Aug 10, 2016
Qingdao
C Clay · Round of 32
Serve and return comparison · Last 90 days
| Stat | Li | Jung |
|---|---|---|
| Serve | ||
| 1st Serve In % | 0% | 67.9% |
| 1st Serve Pts Won % | 0% | 65.2% |
| 2nd Serve Pts Won % | 0% | 40% |
| Aces / Match | 0 | 3.5 |
| Double Faults / Match | 0 | 2 |
| Break Points Saved % | 0% | 52.1% |
| Return | ||
| 1st Return Pts Won % | 0% | 31.9% |
| 2nd Return Pts Won % | 0% | 50.7% |
| BP Converted % | 0% | 58.5% |
| Rally | ||
| Winners / Match | 0 | 14.3 |
| Unforced Errors / Match | 0 | 23.8 |
| Net Pts Won % | 0% | 56.3% |
| Total Pts Won % | 0% | 48% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Zhe Li and Jason Jung face off in the Round of 32 at Ningbo on Hard.
Zhe Li leads 1-4 over 5 previous meetings.
Zhe Li is 4-1 over the last 5 matches. Latest result: W vs Makoto Ochi (Aug 25).
Jason Jung is 0-5 over the last 5 matches. Latest result: L vs Zdenek Kolar (Jun 9).
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