Monte Carlo Monaco Clay Masters 1000 Round of 64

Cameron Norrie vs Miomir Kecmanovic: AI Prediction | Games, Spread, Aces & Double Faults

Cameron Norrie

Rank: #24
55%
VS

Miomir Kecmanovic

Rank: #58
45%
Expected Total Games: 23.5
Predicted Winner: Cameron Norrie

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

Cameron Norrie

Form Index: 39.7
ELO Rating: 1730.4
Glicko2 Rating: 1727.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 59.5
Clay: 44.6
Grass: 46.5
Serve Rating: 74.3
Return Rating: 68.3

Miomir Kecmanovic

Form Index: 37.5
ELO Rating: 1609.3
Glicko2 Rating: 1608.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 53.3
Clay: 38.3
Grass: 42.8
Serve Rating: 97.8
Return Rating: 91.2

Recent Matches

Cameron Norrie

  • Last Match: vs Alex Michelsen (1-2) hard Miami 156 min
  • 2nd Last Match: vs Carlos Alcaraz (0-2) hard Indian Wells 93 min
  • 3rd Last Match: vs Rinky Hijikata (2-0) hard Indian Wells 76 min
  • 4th Last Match: vs Alex de Minaur (2-0) hard Indian Wells 99 min
  • 5th Last Match: vs Mackenzie McDonald (2-0) hard Indian Wells 81 min

Miomir Kecmanovic

  • Last Match: vs Kamil Majchrzak (1-2) hard Miami 118 min
  • 2nd Last Match: vs Flavio Cobolli (1-2) hard Indian Wells 117 min
  • 3rd Last Match: vs Daniel Altmaier (2-0) hard Indian Wells 61 min
  • 4th Last Match: vs Flavio Cobolli (1-2) hard Acapulco 146 min
  • 5th Last Match: vs Terence Atmane (2-0) hard Acapulco 90 min

Head-to-Head (Last 2 Seasons)

0
Cameron Norrie
vs
0
Miomir Kecmanovic
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Monte-Carlo returns to the clay courts of Monaco for a Masters 1000 Round of 64 clash between Britain’s Cameron Norrie and Serbia’s Miomir Kecmanovic. The model gives Norrie the edge: a 55.24% probability to win versus 44.76% for Kecmanovic, with a predicted total of about 23.5 games in the match.

Match Analysis

Norrie arrives with the higher ranking (24) and the superior Elo rating (1,730 vs 1,609), and he also posts a stronger clay profile — a surface strength index of 44.6 compared with Kecmanovic’s 38.3 — which is meaningful on the slow, high-bouncing courts of Monte-Carlo. His form index is slightly higher (39.7 vs 37.5) and he has zero accumulated fatigue in the event. Kecmanovic, despite the lower rank (58), stands out in the raw serving and returning metrics: his mean serve index (97.8) is markedly higher than Norrie’s (74.3), and his mean return index (91.2) also substantially exceeds Norrie’s (68.3) — both differences exceed the 5-point threshold and suggest he can be a heavy-hitting, two-way threat when on song. Recent results paint a similar short-term picture: Norrie is 1-2 in his last three matches (a win over Rinky Hijikata, followed by losses to Carlos Alcaraz and Alex Michelsen), while Kecmanovic is also 1-2 (wins over Daniel Altmaier, defeats to Flavio Cobolli and Kamil Majchrzak). Neither player brings match-court fatigue into Monaco, so the contest should come down to how each adapts their weapons to clay — Norrie’s steadier clay credentials versus Kecmanovic’s more explosive serve-and-return profile.

Total Games Predictions

🎾
Expected Total Games in Match 23.5 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Cameron Norrie versus Miomir Kecmanovic. 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 Cameron Norrie versus Miomir Kecmanovic. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Cameron Norrie - Miomir Kecmanovic) +2.5 Most likely spread: +2 (Cameron Norrie wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Cameron Norrie versus Miomir Kecmanovic. Positive values indicate Cameron Norrie winning more games, negative values indicate Miomir Kecmanovic winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Cameron Norrie versus Miomir Kecmanovic. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at a modest 15.67 for the match, and the expected double faults are 5.05. On clay, predicted aces tend to be suppressed and expected double faults can tick up with longer rallies and physical stress; that pattern informs these numbers. Kecmanovic’s significantly higher serve rating makes him the likeliest source of most of the match’s aces despite the surface.
🎯
Expected Total Aces 15.7 Most likely: 15 aces
Expected Total Double Faults 5.0 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Cameron Norrie versus Miomir Kecmanovic. 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 Cameron Norrie versus Miomir Kecmanovic. 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 Cameron Norrie versus Miomir Kecmanovic. 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 Cameron Norrie versus Miomir Kecmanovic. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Norrie’s higher ranking, stronger Elo and better clay index give him a narrow but tangible edge in Monaco. Key factor to watch: whether Kecmanovic’s big-serve pressure can translate to free points on clay — if it does, the match will be very tight.

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