ATP Challenger Tour · Round of 32 · Matsuyama
Final score & match stats
Playing styles and historical archetype record
Jung
⚙️ Grinder
Watanuki
🤖 Servebot
Matchup analysis
The 🤖 Servebot archetype wins about 58% vs ⚙️ Grinder across 5,936 matches in our dataset. That is a small stylistic lean for Yosuke Watanuki 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 | Jung | Watanuki |
|---|---|---|
| W-L | 0–5 | 0–3 |
| Avg odds | 3.41 | 3.47 |
| ROI % | -100.0% | -100.0% |
| Units P/L | -5.00u | -3.00u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 3 career meetings
2
Jung
1
Watanuki
Nov 8, 2022
Matsuyama
H Hard · Round of 32
Apr 11, 2022
Sarasota
C Clay · Round of 32
Sep 27, 2020
Roland Garros
C Clay · 1st Round Qualifying
Serve and return comparison · Last 90 days
| Stat | Jung | Watanuki |
|---|---|---|
| Serve | ||
| 1st Serve In % | 67.9% | 54.1% |
| 1st Serve Pts Won % | 65.2% | 58.3% |
| 2nd Serve Pts Won % | 40% | 34.7% |
| Aces / Match | 3.5 | 1.7 |
| Double Faults / Match | 2 | 4.3 |
| Break Points Saved % | 52.1% | 25% |
| Return | ||
| 1st Return Pts Won % | 31.9% | 33.3% |
| 2nd Return Pts Won % | 50.7% | 40.9% |
| BP Converted % | 58.5% | 57.6% |
| Rally | ||
| Winners / Match | 13 | 15 |
| Unforced Errors / Match | 22.5 | 38 |
| Net Pts Won % | 62.5% | 40% |
| Total Pts Won % | 48% | 42.3% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Jason Jung and Yosuke Watanuki face off in the Round of 32 at Matsuyama on Hard.
Jason Jung leads 2-1 over 3 previous meetings.
Jason Jung is 0-5 over the last 5 matches. Latest result: L vs Zdenek Kolar (Jun 9).
Yosuke Watanuki is 2-3 over the last 5 matches. Latest result: L vs Vitaliy Sachko (Jun 10).
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