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

Tommy Paul vs Raphael Collignon: AI Prediction | Games, Spread, Aces & Double Faults

Tommy Paul

Rank: #23
57%
VS

Raphael Collignon

Rank: #72
43%
Expected Total Games: 23.6
Predicted Winner: Tommy Paul

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Player Metrics

Tommy Paul

Form Index: 51.4
ELO Rating: 1830.3
Glicko2 Rating: 1809.4
Current Fatigue (minutes): 127.0
Surface Strength:
Hard: 14.3
Clay: 17.9
Grass: 15.2
Serve Rating: 61.1
Return Rating: 53.9

Raphael Collignon

Form Index: 43.4
ELO Rating: 867.4
Glicko2 Rating: 1567.6
Current Fatigue (minutes): 245.0
Surface Strength:
Hard: 8.4
Clay: 5.5
Grass: 5.7
Serve Rating: 97.6
Return Rating: 90.7

Recent Matches

Tommy Paul

  • Last Match: vs Adrian Mannarino (2-1) hard Miami 127 min
  • 2nd Last Match: vs Joao Fonseca (0-2) hard Indian Wells 82 min
  • 3rd Last Match: vs Zizou Bergs (2-0) hard Indian Wells 68 min
  • 4th Last Match: vs Sebastian Korda (0-2) hard Delray Beach 82 min
  • 5th Last Match: vs Learner Tien (2-1) hard Delray Beach 134 min

Raphael Collignon

  • Last Match: vs Flavio Cobolli (2-0) hard Miami 94 min
  • 2nd Last Match: vs Grigor Dimitrov (2-1) hard Miami 151 min
  • 3rd Last Match: vs Joao Fonseca (0-2) hard Indian Wells 102 min
  • 4th Last Match: vs Lorenzo Musetti (1-3) hard Australian Open 174 min
  • 5th Last Match: vs Andrea Vavassori (0-2) hard Adelaide 98 min

Head-to-Head (Last 2 Seasons)

0
Tommy Paul
vs
0
Raphael Collignon
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Miami, FL — Round of 32 on hard courts at a Masters 1000 event brings Tommy Paul against Raphael Collignon in a matchup that contrasts ranking and recent workload. The model favors Tommy Paul to advance (56.55%) over Collignon (43.45%), with a predicted total of about 23.6 games in the match.

Match Analysis

Paul arrives as the higher-ranked player (No. 23) with a substantially higher Elo (1830.31) and a slightly stronger form index (51.41) than Collignon (rank 72, Elo 867.45, form 43.38). Fatigue is a notable factor: Paul has logged 127 minutes in this event while Collignon is visibly more taxed at 245 minutes. Surface strength indices are low for both on hard courts (Paul 14.30, Collignon 8.45), but Paul’s game metrics suggest steadier baseline play. The mean serve index gap is large (Paul 61.14 vs Collignon 97.61), and the mean return gap is similarly wide (Paul 53.94 vs Collignon 90.66), underlining that Collignon’s profiles for both serving and returning stand out in the raw indices. Recent form tells a mixed story. Paul has two wins in his last three matches (including a hard-court five-set victory earlier in Miami vs Mannarino) and one straight-sets loss at Indian Wells to Joao Fonseca. Collignon has been impressive here, beating Flavio Cobolli in straight sets and taking down Grigor Dimitrov in a long 151-minute encounter, with a prior loss to Fonseca at Indian Wells. Those Miami wins give Collignon momentum, but the cumulative minutes could blunt that edge.

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 Tommy Paul versus Raphael Collignon. 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 Tommy Paul versus Raphael Collignon. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Tommy Paul - Raphael Collignon) +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 Tommy Paul versus Raphael Collignon. Positive values indicate Tommy Paul winning more games, negative values indicate Raphael Collignon winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Tommy Paul versus Raphael Collignon. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction leans toward a relatively high count for this contest: predicted aces are 16.86 for the match, while the expected double faults sit at 5.74. On medium-paced hard courts, predicted aces tend to be moderate; however, Collignon’s much higher serve index suggests he will drive a disproportionate share of the ace total. For double faults prediction, fatigue could elevate the expected double faults for the more spent player.
🎯
Expected Total Aces 16.9 Most likely: 16 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 Tommy Paul versus Raphael Collignon. 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 Tommy Paul versus Raphael Collignon. 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 Tommy Paul versus Raphael Collignon. 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 Tommy Paul versus Raphael Collignon. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Paul’s superior ranking, Elo and fresher legs give him the narrow edge in a match that should be tighter than the seeding suggests. Watch serve-versus-return dynamics — Collignon’s enormous serve and return indices versus Paul’s steadier baseline game — as the decisive factor in short, tense service games.

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