ATP Masters 1000 · Round of 32 · ATP Masters 1000 Rome
Final score & match stats
Playing styles and historical archetype record
Auger-Aliassime
🤖 Servebot
Fokina
🎾 All-Court
Matchup analysis
The 🤖 Servebot archetype wins about 60% vs 🎾 All-Court across 1,180 matches in our dataset. That is a small stylistic lean for Felix Auger-Aliassime here.
Servebot players often use high ace rate and dominant service to pressure the all-court's tactical versatility. On Clay, that can swing with conditions.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Auger-Aliassime | Fokina |
|---|---|---|
| W-L | 5–5 | 3–4 |
| Avg odds | 1.93 | 2.08 |
| ROI % | -32.2% | -34.9% |
| Units P/L | -3.22u | -2.44u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 5 career meetings
4
Auger-Aliassime
1
Fokina
Jan 7, 2025
Australian Open
H Hard · Round of 64
Feb 23, 2023
Doha
H Hard · Quarterfinals
May 10, 2022
ATP Masters 1000 Rome
C Clay · Round of 32
Jan 8, 2022
Australian Open
H Hard · Round of 64
Apr 4, 2018
Alicante
H Hard · Round of 32
Results vs. opponents both players faced · Last 12 months
Auger-Aliassime has a higher win rate against shared opponents (80% vs Fokina's 40%).
| Opponent | Auger-Aliassime | Fokina |
|---|---|---|
| Brandon Nakashima | W 57 61 76 76 | L 67 46 |
| Daniel Altmaier | W 46 64 46 61 76 | W 75 63 |
| Damir Dzumhur | W 76 46 76 | W 67 63 26 75 63 |
| Alex De Minaur | L 36 26 | L 26 64 46 |
| Andrey Rublev | W 75 63 64 | L 46 46 |
| Daniil Medvedev | L 46 26 | L 36 67 |
| Valentin Vacherot | W 62 62 | W 76 62 |
| Alexander Zverev | W 64 76 | L 26 46 |
| Ben Shelton | W 46 76 75 | W 62 75 |
| Raphael Collignon | W 76 64 | L 67 16 |
Serve and return comparison · Last 90 days
| Stat | Auger-Aliassime | Fokina |
|---|---|---|
| Serve | ||
| 1st Serve In % | 68% | 72.4% |
| 1st Serve Pts Won % | 74.2% | 67.8% |
| 2nd Serve Pts Won % | 52% | 47% |
| Aces / Match | 6.3 | 1.6 |
| Double Faults / Match | 2.8 | 1.5 |
| Break Points Saved % | 65.8% | 46.6% |
| Return | ||
| 1st Return Pts Won % | 29.8% | 35% |
| 2nd Return Pts Won % | 48.3% | 49.7% |
| BP Converted % | 46.4% | 48.8% |
| Rally | ||
| Winners / Match | 19.4 | 20.2 |
| Unforced Errors / Match | 25 | 27.3 |
| Net Pts Won % | 71.2% | 78.3% |
| Total Pts Won % | 52.2% | 51.2% |
| Surface (Clay) | ||
| Clay Win % | 58% | 50% |
Last five matches per player
Mattia Bellucci
BOSS OPEN · Round of 32
Jun 10
Thiago Agustin Tirante
Roland Garros · Round of 64
May 27
Damir Dzumhur
Roland Garros · Round of 128
May 26
Alex de Minaur
Bitpanda Hamburg Open · Round of 16
May 20
Corentin Moutet
Bitpanda Hamburg Open · Round of 32
May 18
Matchup overview
Felix Auger-Aliassime and Alejandro Davidovich Fokina face off in the Round of 32 at ATP Masters 1000 Rome on Clay.
Felix Auger-Aliassime leads 4-1 over 5 previous meetings.
Felix Auger-Aliassime is 4-1 over the last 5 matches. Latest result: W vs Marton Fucsovics (Jun 11).
Alejandro Davidovich Fokina is 2-3 over the last 5 matches. Latest result: L vs Mattia Bellucci (Jun 10).
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