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

Alejandro Tabilo vs Alex Michelsen: AI Prediction | Games, Spread, Aces & Double Faults

Alejandro Tabilo

Rank: #41
43%
VS

Alex Michelsen

Rank: #40
57%
Expected Total Games: 23.2
Predicted Winner: Alex Michelsen

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Player Metrics

Alejandro Tabilo

Form Index: 52.9
ELO Rating: 928.6
Glicko2 Rating: 1705.5
Current Fatigue (minutes): 203.0
Surface Strength:
Hard: 7.5
Clay: 7.4
Grass: 6.0
Serve Rating: 91.0
Return Rating: 53.4

Alex Michelsen

Form Index: 60.5
ELO Rating: 1425.7
Glicko2 Rating: 1654.9
Current Fatigue (minutes): 221.0
Surface Strength:
Hard: 11.4
Clay: 9.9
Grass: 10.6
Serve Rating: 98.3
Return Rating: 91.2

Recent Matches

Alejandro Tabilo

  • Last Match: vs Andrey Rublev (2-1) hard Miami 126 min
  • 2nd Last Match: vs Francisco Comesana (2-0) hard Miami 77 min
  • 3rd Last Match: vs Daniil Medvedev (0-2) hard Indian Wells 70 min
  • 4th Last Match: vs Rafael Jodar (2-0) hard Indian Wells 58 min
  • 5th Last Match: vs Sebastian Baez (0-2) clay Santiago 81 min

Alex Michelsen

  • Last Match: vs Cameron Norrie (2-1) hard Miami 156 min
  • 2nd Last Match: vs Mattia Bellucci (2-0) hard Miami 65 min
  • 3rd Last Match: vs Daniil Medvedev (0-2) hard Indian Wells 87 min
  • 4th Last Match: vs Taylor Fritz (2-0) hard Indian Wells 99 min
  • 5th Last Match: vs Ugo Humbert (2-1) hard Indian Wells 166 min

Head-to-Head (Last 2 Seasons)

0
Alejandro Tabilo
vs
0
Alex Michelsen
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Miami Masters in Florida, Round of 32 on hard court, Alex Michelsen is narrowly favored to beat Alejandro Tabilo. The model gives Michelsen a 57.43% chance to win versus 42.57% for Tabilo, with an expected total of about 23.2 games in the match.

Match Analysis

This is a clash between two players ranked similarly (Michelsen No. 40, Tabilo No. 41) but with clear differences in underlying metrics. Michelsen carries a higher Elo (1,425.69) and a stronger form index (60.52) compared with Tabilo’s Elo of 928.56 and form 52.86. Fatigue is comparable: Michelsen has 221 minutes on court in the event versus Tabilo’s 203, so neither arrives fully fresh but both have handled recent workload. Surface strength indices are low for both on hard (Michelsen 11.39, Tabilo 7.48), indicating neither is a dominant hard-court specialist. Serve and return profiles tilt toward Michelsen. His mean serve index (98.30) exceeds Tabilo’s (91.01) by over 7 points, and his mean return index (91.20) dwarfs Tabilo’s (53.44) by nearly 38 points — these are significant gaps that will shape key momentum swings. Over the last three matches each, both players are 2-1: Tabilo has recent wins in Miami over Rublev and Comesana after a loss to Medvedev at Indian Wells; Michelsen beat Norrie and Bellucci in Miami, with his most recent defeats also coming to Medvedev. Both have shown they can win long matches (Tabilo 126 minutes vs Rublev; Michelsen 156 minutes vs Norrie).

Total Games Predictions

🎾
Expected Total Games in Match 23.2 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alejandro Tabilo 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 Alejandro Tabilo 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 (Alejandro Tabilo - Alex Michelsen) +0.3 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 Alejandro Tabilo versus Alex Michelsen. Positive values indicate Alejandro Tabilo 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 Alejandro Tabilo versus Alex Michelsen. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard-court match is moderate: predicted aces total is about 15.35, reflecting a surface that rewards big servers but not as much as grass. The expected double faults are low, with an expected double faults figure of roughly 3.91 for the match. Michelsen’s notably higher serve rating suggests he will contribute more to the ace count, lifting the predicted aces, while both should keep double faults relatively contained on this medium-paced hard court.
🎯
Expected Total Aces 15.3 Most likely: 15 aces
Expected Total Double Faults 3.9 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

Final Prediction

Michelsen’s superior Elo, sharper recent form and clear advantages in serve and return indices give him the edge in this matchup. The critical factor to watch will be how Tabilo handles Michelsen’s return pressure; breaking serve early could flip the tight probabilities.

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