Miami FL, U.S.A. Hard Masters 1000 Round of 32

Quentin Halys vs Kamil Majchrzak: AI Prediction | Games, Spread, Aces & Double Faults

Quentin Halys

Rank: #111
47%
VS

Kamil Majchrzak

Rank: #57
53%
Expected Total Games: 24.1
Predicted Winner: Kamil Majchrzak

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Quentin Halys

Form Index: 48.6
ELO Rating: 881.6
Glicko2 Rating: 1600.9
Current Fatigue (minutes): 236.0
Surface Strength:
Hard: 6.8
Clay: 7.5
Grass: 5.5
Serve Rating: 89.0
Return Rating: 36.7

Kamil Majchrzak

Form Index: 49.0
ELO Rating: 975.6
Glicko2 Rating: 1565.1
Current Fatigue (minutes): 219.0
Surface Strength:
Hard: 8.9
Clay: 6.6
Grass: 8.7
Serve Rating: 97.0
Return Rating: 91.6

Recent Matches

Quentin Halys

  • Last Match: vs Alejandro Davidovich Fokina (2-0) hard Miami 110 min
  • 2nd Last Match: vs Liam Draxl (2-1) hard Miami 126 min
  • 3rd Last Match: vs Adam Walton (0-2) hard Indian Wells 77 min
  • 4th Last Match: vs Jack Draper (0-2) hard Dubai 97 min
  • 5th Last Match: vs Alexander Shevchenko (2-0) hard Dubai 101 min

Kamil Majchrzak

  • Last Match: vs Learner Tien (2-1) hard Miami 101 min
  • 2nd Last Match: vs Miomir Kecmanovic (2-1) hard Miami 118 min
  • 3rd Last Match: vs Novak Djokovic (1-2) hard Indian Wells 132 min
  • 4th Last Match: vs Giovanni Mpetshi Perricard (2-1) hard Indian Wells 106 min
  • 5th Last Match: vs Alexei Popyrin (1-2) hard Dubai 112 min

Head-to-Head (Last 2 Seasons)

1
Quentin Halys
vs
0
Kamil Majchrzak
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Miami Masters in Florida, Round of 32 on outdoor hard courts, Kamil Majchrzak is narrowly favoured to beat Quentin Halys. The model gives Majchrzak a 52.84% chance of victory to Halys’s 47.16%, with a predicted total of about 24.15 games in the match.

Match Analysis

Majchrzak enters with the higher ranking (No. 57) and superior Elo (975.56 vs Halys’s 881.63). Both players show similar form indexes (Halys 48.56, Majchrzak 49.02), so recent momentum is comparable. Fatigue is slightly higher for Halys (236 minutes on court this event) than Majchrzak (219), but neither figure suggests extreme wear. Surface strength indexes are modest for both — Halys 6.84, Majchrzak 8.89 — indicating neither is overwhelmingly dominant on hard courts according to the proprietary measure. Serve and return profiles tilt towards Majchrzak. His mean serve index (96.97) is notably higher than Halys’s (88.98), a gap exceeding five points that favors Majchrzak on service potency. The return discrepancy is even larger: Majchrzak’s mean return index (91.60) dwarfs Halys’s 36.66, suggesting Majchrzak should be more effective in breaking serve and dictating rallies. Over their last three matches at hard-court events, Halys has gone 2–1 (wins over Davidovich Fokina and Liam Draxl, a loss at Indian Wells), while Majchrzak is also 2–1 (wins over Learner Tien and Miomir Kecmanovic, a loss to Novak Djokovic). Both have shown the ability to grind out wins in two tight three-setters, but Majchrzak’s combination of return and serve metrics gives him a small edge.

Total Games Predictions

🎾
Expected Total Games in Match 24.1 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Quentin Halys 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 Quentin Halys 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 (Quentin Halys - Kamil Majchrzak) -0.5 Most likely spread: -1 (Kamil Majchrzak wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Quentin Halys versus Kamil Majchrzak. Positive values indicate Quentin Halys 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 Quentin Halys versus Kamil Majchrzak. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match sits at about 6.72 total, with a double faults prediction near 4.11. On Miami’s medium-paced hard courts, a moderate ace count fits the conditions — the surface rewards both servers and returners without producing extreme ace tallies. Given Majchrzak’s significantly higher serve rating, he is likely to contribute disproportionately to the predicted aces, while double faults could come from riskier serving patterns from both players.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
Expected Total Double Faults 4.1 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Quentin Halys 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 Quentin Halys 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 Quentin Halys 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 Quentin Halys versus Kamil Majchrzak. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Majchrzak’s edge comes from superior Elo, a stronger serve-and-return profile, and marginally fresher legs. The key factor to watch is Majchrzak’s return game — if he converts early break opportunities, the match could tilt quickly in his favour.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel