S Hertogenbosch Netherlands Grass Atp 250 Quarterfinals

Felix Auger-Aliassime vs Kamil Majchrzak: AI Prediction | Games, Spread, Aces & Double Faults

Felix Auger-Aliassime

Rank: #4
65%
VS

Kamil Majchrzak

Rank: #76
35%
Expected Total Games: 27.4
Predicted Winner: Felix Auger-Aliassime

Why the Model Favors Felix Auger-Aliassime

The factors that drove this prediction, measured in win-probability points.

Serve & return game +7.7 Kamil Majchrzak
Recent record by level +7.2 Felix Auger-Aliassime
Overall strength +5.8 Felix Auger-Aliassime
Age +2.6 Felix Auger-Aliassime
Overall record & opposition quality +2.1 Felix Auger-Aliassime

Starting from an even matchup, these factors move the model to 65% for Felix Auger-Aliassime. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Felix Auger-Aliassime

Form Index: 48.2
ELO Rating: 1814.7
Glicko2 Rating: 1892.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 39.6
Clay: 32.8
Grass: 30.4
Serve Rating: 96.6
Return Rating: 89.7

Kamil Majchrzak

Form Index: 38.1
ELO Rating: 1605.8
Glicko2 Rating: 1649.9
Current Fatigue (minutes): 197.0
Surface Strength:
Hard: 27.4
Clay: 8.5
Grass: 21.4
Serve Rating: 94.6
Return Rating: 87.7

Recent Matches

Felix Auger-Aliassime

  • Last Match: vs Flavio Cobolli (1-3) clay Roland Garros 174 min
  • 2nd Last Match: vs Alejandro Tabilo (3-0) clay Roland Garros 174 min
  • 3rd Last Match: vs Brandon Nakashima (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Roman Andres Burruchaga (3-1) clay Roland Garros 174 min
  • 5th Last Match: vs Daniel Altmaier (3-2) clay Roland Garros 174 min

Kamil Majchrzak

  • Last Match: vs James McCabe (1-0) grass S Hertogenbosch 54 min
  • 2nd Last Match: vs Otto Virtanen (2-1) grass S Hertogenbosch 143 min
  • 3rd Last Match: vs Alejandro Tabilo (0-3) clay Roland Garros 174 min
  • 4th Last Match: vs Camilo Ugo Carabelli (1-2) clay Hamburg 119 min
  • 5th Last Match: vs Marco Trungelliti (0-2) clay Marrakech 107 min

Head-to-Head (Last 2 Seasons)

0
Felix Auger-Aliassime
vs
0
Kamil Majchrzak
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in s'Hertogenbosch, Netherlands, on fast grass: Felix Auger-Aliassime is the model favorite to beat Kamil Majchrzak in this ATP 250–level match. Felix is given a 65.38% chance to win against Majchrzak’s 34.62%, with an expected total of about 27.4 games in the match.

Match Analysis

The model’s projection is shaped by competing signals: the strongest single factor is the serve & return game, which the model credits to Majchrzak (7.7 percentage points), but Felix gains ground from recent results at tour level (a 7.2-point boost) and overall strength. Majchrzak’s serve/return edge in the model appears linked to his two wins on grass this week (against Virtanen and McCabe), demonstrating effective play on the surface despite a lower season profile. Felix’s advantage comes from higher rank (No. 4 vs 76), a superior Elo (1814.7 vs 1605.8), a stronger form index (48.15 vs 38.14) and a higher surface strength index (30.44 vs 21.36), all of which pushed the prediction toward him. Looking at match-load and recent form: Felix arrives with zero minutes of tournament fatigue in this event, while Majchrzak has accumulated 197 minutes, a relevant disparity on quick grass where sharpness matters. Both players carry high serve indices (Felix 96.6, Majchrzak 94.6) and comparable return indices (Felix 89.7, Majchrzak 87.7); differences are notable but not beyond the model’s 5-point threshold. Over the last three matches Felix recorded two wins then a loss at Roland Garros, whereas Majchrzak has two straight grass wins here after a clay loss at Roland Garros.

Total Games Predictions

🎾
Expected Total Games in Match 27.4 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Felix Auger-Aliassime versus Kamil Majchrzak. The X-axis shows possible total games values and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total games ≤ X

Cumulative distribution function chart for total games in Felix Auger-Aliassime versus Kamil Majchrzak. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Felix Auger-Aliassime - Kamil Majchrzak) +1.5 Most likely spread: +1 (Felix Auger-Aliassime wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Felix Auger-Aliassime versus Kamil Majchrzak. Positive values indicate Felix Auger-Aliassime winning more games, negative values indicate Kamil Majchrzak winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Felix Auger-Aliassime versus Kamil Majchrzak. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is elevated on grass: the model’s predicted aces for this match are about 16.45, with an expected double faults figure near 4.89. Grass typically boosts ace counts; both players have high serve ratings, so the predicted aces reflect that shared serving strength rather than a single dominant server. The expected double faults remain modest given their serve profiles.
🎯
Expected Total Aces 16.4 Most likely: 16 aces
Expected Total Double Faults 4.9 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Felix Auger-Aliassime versus Kamil Majchrzak. Higher ace counts are more likely on faster surfaces like grass.
Cumulative Probability (CDF)

Probability of aces ≤ X

Cumulative distribution function chart for total aces in Felix Auger-Aliassime versus Kamil Majchrzak. The curve shows the cumulative probability for each aces threshold.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Felix Auger-Aliassime versus Kamil Majchrzak. Clay surface matches tend to produce more double faults due to fatigue in longer rallies.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Felix Auger-Aliassime versus Kamil Majchrzak. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

49.2% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Felix Auger-Aliassime's perspective)

2-0 Most likely set score (37.8%)
Probability distribution of the final set score from Felix Auger-Aliassime's perspective. Format: BO3.

Final Prediction

Felix’s edge is driven chiefly by his recent tour-level performances and overall strength despite the model’s top factor (serve & return) favoring Majchrzak. Watch the serve/return exchanges and Majchrzak’s accumulated fatigue—those two elements should decide whether the match stays closer to the projected total games.

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