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

Reilly Opelka vs Taylor Fritz: AI Prediction | Games, Spread, Aces & Double Faults

Reilly Opelka

Rank: #67
40%
VS

Taylor Fritz

Rank: #7
60%
Expected Total Games: 24.8
Predicted Winner: Taylor Fritz

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Player Metrics

Reilly Opelka

Form Index: 51.8
ELO Rating: 1008.2
Glicko2 Rating: 1550.2
Current Fatigue (minutes): 213.0
Surface Strength:
Hard: 10.1
Clay: 7.1
Grass: 8.1
Serve Rating: 97.3
Return Rating: 11.3

Taylor Fritz

Form Index: 53.4
ELO Rating: 3570.2
Glicko2 Rating: 2015.3
Current Fatigue (minutes): 122.0
Surface Strength:
Hard: 21.8
Clay: 28.6
Grass: 32.6
Serve Rating: 98.6
Return Rating: 88.3

Recent Matches

Reilly Opelka

  • Last Match: vs Jack Draper (2-0) hard Miami 92 min
  • 2nd Last Match: vs Nuno Borges (2-1) hard Miami 121 min
  • 3rd Last Match: vs Ben Shelton (1-2) hard Indian Wells 132 min
  • 4th Last Match: vs Ethan Quinn (2-0) hard Indian Wells 101 min
  • 5th Last Match: vs Alejandro Davidovich Fokina (2-3) hard Australian Open 174 min

Taylor Fritz

  • Last Match: vs Botic van de Zandschulp (2-1) hard Miami 122 min
  • 2nd Last Match: vs Alex Michelsen (0-2) hard Indian Wells 99 min
  • 3rd Last Match: vs Jacob Fearnley (2-1) hard Indian Wells 133 min
  • 4th Last Match: vs Tommy Paul (0-2) hard Delray Beach 76 min
  • 5th Last Match: vs Rafael Jodar (2-0) hard Delray Beach 106 min

Head-to-Head (Last 2 Seasons)

0
Reilly Opelka
vs
0
Taylor Fritz
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Miami Masters 1000 in Florida, Round of 32 on hard court, Taylor Fritz is favored to beat Reilly Opelka. The model gives Fritz a 60.14% chance to win versus 39.86% for Opelka, with a projected total of about 24.84 games in the match.

Match Analysis

The numbers show a clear contrast in player profiles. Fritz is the higher-ranked player (No. 7) with an Elo of 3570.18, a surface strength index of 21.77 and moderate accumulated fatigue (122 minutes). Opelka sits at No. 67 with an Elo of 1008.18, a weaker surface index of 10.07 and heavier fatigue from this event (213 minutes). Both players post very high mean serve indices (Opelka 97.30, Fritz 98.63), so serve potency is similar; however the mean return indices diverge sharply—Opelka 11.32 versus Fritz 88.29—an important mismatch that favors Fritz’s ability to break serve and control rallies. Recent form is fairly even on paper: both have won two of their last three matches at hard courts. Opelka reached this stage with wins over Nuno Borges and Jack Draper, including a 121- and 92-minute match respectively, while losing to Ben Shelton at Indian Wells. Fritz also has two wins in his last three, overcoming Botic van de Zandschulp and Jacob Fearnley, with a recent 122-minute contest in Miami and a loss to Alex Michelsen at Indian Wells. The fatigue differential and Fritz’s superior return profile give him an edge in converting opportunities against Opelka’s big serve.

Total Games Predictions

🎾
Expected Total Games in Match 24.8 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Reilly Opelka versus Taylor Fritz. 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 Reilly Opelka versus Taylor Fritz. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Reilly Opelka - Taylor Fritz) +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 Reilly Opelka versus Taylor Fritz. Positive values indicate Reilly Opelka winning more games, negative values indicate Taylor Fritz winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Reilly Opelka versus Taylor Fritz. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is 15.35 total, and the predicted double faults sit at about 3.91. On a medium-paced hard court, these expected aces are consistent with strong servers and a steady bounce—neither extreme like grass nor clay. Given similar serve indices, both players should contribute to the predicted aces, while Fritz’s return strength could slightly suppress Opelka’s service dominance and influence the expected double faults.
🎯
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 Reilly Opelka versus Taylor Fritz. 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 Reilly Opelka versus Taylor Fritz. 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 Reilly Opelka versus Taylor Fritz. 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 Reilly Opelka versus Taylor Fritz. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Fritz’s superior Elo, higher ranking and overwhelming return index are the primary reasons he is favored. The key factor to watch is how effectively Fritz can neutralize Opelka’s serve—if he converts return chances early, that will likely decide the match.

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