ATP Masters 1000 · Round of 16 · ATP Masters 1000 Monte-Carlo
Final score
Playing styles and historical archetype record
Djokovic
💥 Big Hitter
Fritz
🤖 Servebot
Matchup analysis
💥 Big Hitter vs 🤖 Servebot is historically tight (48% vs 52%, 8,503 matches). Neither style has a clear edge, so form, surface, and H2H matter most when Novak Djokovic plays Taylor Fritz.
Hypothetical if you put 1u on each player to win every one of their matches · Last 90 days
| Metric | Djokovic | Fritz |
|---|---|---|
| W-L | 2–2 | 5–3 |
| Avg odds | 1.27 | 1.88 |
| ROI % | -45.3% | -10.0% |
| Units P/L | -1.81u | -0.80u |
Small sample: ROI stabilizes with more matches; fewer than 10 in the window is noisy.
Prior meetings and scores · 11 career meetings
11
Djokovic
0
Fritz
Sep 2, 2025
US Open
H Hard · Quarterfinals
Oct 12, 2024
ATP Masters 1000 Shanghai
H Hard · Semifinals
Jan 19, 2024
Australian Open
H Hard · Quarterfinals
Sep 6, 2023
US Open
H Hard · Quarterfinals
Aug 18, 2023
ATP Masters 1000 Cincinnati
H Hard · Quarterfinals
Nov 19, 2022
Nitto ATP Finals
H Hard · Semifinals
Nov 5, 2021
ATP Masters 1000 Paris
H Hard · Quarterfinals
May 10, 2021
ATP Masters 1000 Rome
C Clay · Round of 32
Feb 8, 2021
Australian Open
H Hard · Round of 32
May 7, 2019
ATP Masters 1000 Madrid
C Clay · Round of 32
Results vs. opponents both players faced · Last 12 months
Djokovic has a higher win rate against shared opponents (70% vs Fritz's 60%).
| Opponent | Djokovic | Fritz |
|---|---|---|
| Zizou Bergs | W 63 75 | W 76 57 64 |
| Joao Fonseca | L 64 64 36 57 57 | W 63 67 75 |
| Valentin Royer | W 63 62 67 63 | W 76 57 61 63 |
| Giovanni Mpetshi Perricard | W 57 75 61 64 | L 46 57 |
| Botic van de Zandschulp | W 63 64 76 | W 63 67 63 |
| Marin Cilic | W 76 64 | W 76 76 |
| Carlos Alcaraz | L 62 26 36 57 | L 76 57 36 |
| Lorenzo Musetti | L 46 36 31 | L 26 57 46 |
| Alex de Minaur | W 16 64 64 64 | L 67 36 |
| Nuno Borges | W 76 64 | W 75 76 |
Serve and return comparison · Last 90 days
| Stat | Djokovic | Fritz |
|---|---|---|
| Serve | ||
| 1st Serve In % | 70.3% | 64.6% |
| 1st Serve Pts Won % | 73.7% | 75.5% |
| 2nd Serve Pts Won % | 56.8% | 50.3% |
| Aces / Match | 7.5 | 11 |
| Double Faults / Match | 3.3 | 4.3 |
| Break Points Saved % | 60.3% | 42.2% |
| Return | ||
| 1st Return Pts Won % | 32.8% | 21.1% |
| 2nd Return Pts Won % | 50.1% | 47.2% |
| BP Converted % | 44.8% | 29.8% |
| Rally | ||
| Winners / Match | 17 | 31.8 |
| Unforced Errors / Match | 26 | 26.4 |
| Net Pts Won % | 71.4% | 74.7% |
| Total Pts Won % | 52.7% | 48.3% |
| Surface (Clay) | ||
| Clay Win % | 50% | 0% |
Last five matches per player
Joao Fonseca
Roland Garros · Round of 32
May 29
Valentin Royer
Roland Garros · Round of 64
May 27
Giovanni Mpetshi Perricard
Roland Garros · Round of 128
May 24
Dino Prizmic
Internazionali BNL d'Italia · Round of 64
May 8
Jack Draper
BNP Paribas Open · Round of 16
Mar 11
Matchup overview
Novak Djokovic and Taylor Fritz face off in the Round of 16 at ATP Masters 1000 Monte-Carlo on Clay.
Novak Djokovic leads 11-0 over 11 previous meetings.
Novak Djokovic is 2-3 over the last 5 matches. Latest result: L vs Joao Fonseca (May 29).
Taylor Fritz is 4-1 over the last 5 matches. Latest result: W vs Fabian Marozsan (Jun 18).
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