ITF W35 · Round of 32 · W35 Huzhou
Final score & match stats
Playing styles and historical archetype record
Zhu
🤖 Servebot
Nagata
⚙️ Grinder
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs ⚙️ Grinder across 1,639 matches in our dataset. That is a small stylistic lean for Amy Zhu 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 | Zhu | Nagata |
|---|---|---|
| W-L | 1–4 | 0–2 |
| Avg odds | 5.98 | 9.99 |
| ROI % | -25.0% | -100.0% |
| Units P/L | -1.25u | -2.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 1 career meeting
1
Zhu
0
Nagata
Results vs. opponents both players faced · Last 12 months
Across 1 shared opponent, both Zhu and Nagata posted a 0% win rate.
| Opponent | Zhu | Nagata |
|---|---|---|
| Jiaqi Wang | L 46 26 | L 46 26 |
Serve and return comparison · Last 90 days
| Stat | Zhu | Nagata |
|---|---|---|
| Serve | ||
| 1st Serve In % | 60.7% | 71% |
| 1st Serve Pts Won % | 55.9% | 44.8% |
| 2nd Serve Pts Won % | 44.8% | 24.2% |
| Aces / Match | 3.3 | 1 |
| Double Faults / Match | 1.3 | 0.5 |
| Break Points Saved % | 52% | 48.1% |
| Return | ||
| 1st Return Pts Won % | 29.7% | 24.1% |
| 2nd Return Pts Won % | 41.2% | 60.7% |
| BP Converted % | 45.8% | 66.7% |
| Rally | ||
| Winners / Match | 0 | 0 |
| Unforced Errors / Match | 0 | 0 |
| Net Pts Won % | 0% | 0% |
| Total Pts Won % | 43.1% | 38.3% |
| Surface (Hard) | ||
| Hard Win % | 40% | 25% |
Last five matches per player
Matchup overview
Amy Zhu and Anri Nagata face off in the Round of 32 at W35 Huzhou on Hard.
Amy Zhu leads 1-0 over 1 previous meeting.
Amy Zhu is 2-3 over the last 5 matches. Latest result: W vs Kate Gardiner (Jun 24).
Anri Nagata is 3-2 over the last 5 matches. Latest result: W vs Jeongwon Park (Jun 22).
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