Madrid Spain Clay Masters 1000 Round of 32

Jiri Lehecka vs Alex Michelsen: AI Prediction | Games, Spread, Aces & Double Faults

Jiri Lehecka

Rank: #14
61%
VS

Alex Michelsen

Rank: #37
39%
Expected Total Games: 23.6
Predicted Winner: Jiri Lehecka

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Player Metrics

Jiri Lehecka

Form Index: 89.4
ELO Rating: 1841.1
Glicko2 Rating: 1845.3
Current Fatigue (minutes): 129.0
Surface Strength:
Hard: 62.0
Clay: 45.3
Grass: 45.6
Serve Rating: 83.5
Return Rating: 62.2

Alex Michelsen

Form Index: 73.6
ELO Rating: 1749.6
Glicko2 Rating: 1787.2
Current Fatigue (minutes): 57.0
Surface Strength:
Hard: 59.5
Clay: 39.6
Grass: 41.8
Serve Rating: 98.3
Return Rating: 90.8

Recent Matches

Jiri Lehecka

Alex Michelsen

Head-to-Head (Last 2 Seasons)

0
Jiri Lehecka
vs
0
Alex Michelsen
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Madrid, Spain — Round of 32 at a Masters 1000 event on clay sets up a contrast in styles as Jiri Lehecka meets Alex Michelsen. The model leans to Lehecka as the projected winner (61.14% vs 38.86% for Michelsen) with a predicted total of about 23.6 games in the match.

Match Analysis

Lehecka arrives as the higher-ranked player (No. 14) with stronger form (89.37) and a higher Elo (1841.06) than Michelsen (rank 37, form 73.58, Elo 1749.63). He also has considerably more court time at this event (129 minutes fatigue) compared with Michelsen’s 57 minutes, which could matter physically on demanding clay. Surface strength indices are modest for both — Lehecka 45.27 vs Michelsen 39.57 — indicating neither is dominant on clay, but Lehecka’s recent run suggests better adaptation to the conditions. Serve and return profiles are distinct: Michelsen posts a much higher mean serve index (98.32) than Lehecka (83.48) — a gap greater than 5 points — and he also boasts a far superior mean return index (90.85 vs Lehecka’s 62.15), another large differential. Those numbers signal Michelsen can exert pressure on both serve and return games, but Lehecka’s steadier form and higher ranking offset that on balance. Over their last three matches Lehecka is unbeaten (three wins, all clay, all matches went the distance in sets and were long in duration), while Michelsen has mixed results — a straight-sets win in Madrid (57 minutes) but earlier losses in Munich and Houston — pointing to inconsistency entering this round.

Total Games Predictions

🎾
Expected Total Games in Match 23.6 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jiri Lehecka versus Alex Michelsen. 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 Jiri Lehecka versus Alex Michelsen. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jiri Lehecka - Alex Michelsen) +4.1 Most likely spread: +4 (Jiri Lehecka wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jiri Lehecka versus Alex Michelsen. Positive values indicate Jiri Lehecka winning more games, negative values indicate Alex Michelsen winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jiri Lehecka versus Alex Michelsen. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at about 12.32 for the match and the expected double faults at roughly 5.67. On clay, predicted aces are typically suppressed by the slower, higher-bouncing surface, while expected double faults can rise as matches lengthen. Michelsen’s substantially higher serve rating should lift the predicted aces count compared with a standard clay duel, but Lehecka’s greater fatigue could contribute to the expected double faults.
🎯
Expected Total Aces 12.3 Most likely: 12 aces
Expected Total Double Faults 5.7 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jiri Lehecka versus Alex Michelsen. 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 Jiri Lehecka versus Alex Michelsen. 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 Jiri Lehecka versus Alex Michelsen. 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 Jiri Lehecka versus Alex Michelsen. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Lehecka’s edge comes from superior ranking, recent form and a higher Elo despite heavier minutes on court. The deciding factor to watch will be how well Lehecka copes with Michelsen’s powerful serve and aggressive return game — if he can neutralize that early, his consistency should carry him through.

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