ATP 250 · Round of 16 · New York
Final score
Playing styles and historical archetype record
Jung
⚙️ Grinder
Tiafoe
🤖 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 Frances Tiafoe 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 | Tiafoe |
|---|---|---|
| W-L | 0–5 | 14–5 |
| Avg odds | 3.41 | 1.72 |
| ROI % | -100.0% | +19.1% |
| Units P/L | -5.00u | +3.63u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 2 career meetings
1
Jung
1
Tiafoe
Results vs. opponents both players faced · Last 12 months
Tiafoe has a higher win rate against shared opponents (100% vs Jung's 0%).
| Opponent | Jung | Tiafoe |
|---|---|---|
| Yoshihito Nishioka | L 61 36 46 | W 63 76 63 |
Serve and return comparison · Last 90 days
| Stat | Jung | Tiafoe |
|---|---|---|
| Serve | ||
| 1st Serve In % | 67.9% | 62.6% |
| 1st Serve Pts Won % | 65.2% | 71.5% |
| 2nd Serve Pts Won % | 40% | 53.6% |
| Aces / Match | 3.5 | 7.3 |
| Double Faults / Match | 2 | 3.2 |
| Break Points Saved % | 52.1% | 62.2% |
| Return | ||
| 1st Return Pts Won % | 31.9% | 26.9% |
| 2nd Return Pts Won % | 50.7% | 50.2% |
| BP Converted % | 58.5% | 38.3% |
| Rally | ||
| Winners / Match | 13 | 26.3 |
| Unforced Errors / Match | 22.5 | 29.8 |
| Net Pts Won % | 62.5% | 73.3% |
| Total Pts Won % | 48% | 49.7% |
| Surface (Hard) | ||
| Hard Win % | 0% | 0% |
Last five matches per player
Matchup overview
Jason Jung and Frances Tiafoe face off in the Round of 16 at New York on Hard.
Jason Jung leads 1-1 over 2 previous meetings.
Jason Jung is 0-5 over the last 5 matches. Latest result: L vs Zdenek Kolar (Jun 9).
Frances Tiafoe is 4-1 over the last 5 matches. Latest result: W vs Taylor Fritz (Jun 21).
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