Madrid Spain Clay Masters 1000 Round of 64

Martin Damm vs Jakub Mensik: AI Prediction | Games, Spread, Aces & Double Faults

Martin Damm

Rank: #126
24%
VS

Jakub Mensik

Rank: #27
76%
Expected Total Games: 23.9
Predicted Winner: Jakub Mensik

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Player Metrics

Martin Damm

Form Index: 70.3
ELO Rating: 1663.2
Glicko2 Rating: 1711.3
Current Fatigue (minutes): 317.0
Surface Strength:
Hard: 55.5
Clay: 40.7
Grass: 39.7
Serve Rating: 82.9
Return Rating: 56.0

Jakub Mensik

Form Index: 42.2
ELO Rating: 1825.0
Glicko2 Rating: 1897.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 61.5
Clay: 43.3
Grass: 44.1
Serve Rating: 97.8
Return Rating: 89.6

Recent Matches

Martin Damm

Jakub Mensik

Head-to-Head (Last 2 Seasons)

0
Martin Damm
vs
0
Jakub Mensik
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Madrid Masters 1000 on clay, Round of 64, Martin Damm faces Jakub Mensik in a matchup that pits a lower-ranked in-form qualifier against a fresher top-30 seed. The model favors Jakub Mensik to advance (75.52% win probability) while Martin Damm is projected at 24.48%, with an expected total of about 23.9 games in the match.

Match Analysis

Mensik arrives as the higher-ranked player (No. 27) with a substantially higher Elo (1825.04) compared with Damm (rank 126, Elo 1663.20). Damm’s form index (70.32) is notably stronger than Mensik’s (42.21), indicating recent momentum for Damm despite his lower ranking. Surface strength indices are close (Damm 40.70, Mensik 43.33), so neither has a big clay-specific edge on paper. Fatigue is a clear differentiator: Damm has logged 317 minutes in Madrid already, while Mensik is fresh with zero minutes in this event. Serving and returning profiles tilt heavily toward Mensik. His mean serve index (97.79) is more than 14 points higher than Damm’s (82.92), and his mean return index (89.59) exceeds Damm’s (56.02) by about 34 points — both differences are large and important on clay where returning can be decisive. Damm’s recent Madrid run shows multiple long matches (107 and 131 minutes) and an earlier shorter contest (79 minutes), suggesting rhythm but also accumulated fatigue. Mensik’s last three results include a long three-set loss to Tiafoe (171 minutes), a win over Adam Walton, and a three-set loss to Davidovich Fokina, reflecting mixed form but high-level experience.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Martin Damm versus Jakub Mensik. 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 Martin Damm versus Jakub Mensik. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Martin Damm - Jakub Mensik) +0.7 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Martin Damm versus Jakub Mensik. Positive values indicate Martin Damm winning more games, negative values indicate Jakub Mensik winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Martin Damm versus Jakub Mensik. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay match is relatively modest: the model’s predicted aces are 13.59 for the match, while the expected double faults are 6.08. Clay typically reduces ace volume because of slower ball speed and higher bounce, but Mensik’s significantly higher serve rating should lift the ace count compared with a baseline clay match. Fatigue on Damm’s side could contribute to the expected double faults, especially as rallies extend.
🎯
Expected Total Aces 13.6 Most likely: 13 aces
Expected Total Double Faults 6.1 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Martin Damm versus Jakub Mensik. 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 Martin Damm versus Jakub Mensik. 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 Martin Damm versus Jakub Mensik. 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 Martin Damm versus Jakub Mensik. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Mensik’s superior ranking, Elo and clearly stronger serve-and-return metrics give him the edge despite Damm’s recent form and match rhythm in Madrid. Watch the serve-return battle — particularly Mensik’s ability to break early and exploit Damm’s accumulated minutes — as the decisive factor.

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