Roland Garros France Clay Grand Slam Round of 16

Frances Tiafoe vs Matteo Arnaldi: AI Prediction | Games, Spread, Aces & Double Faults

Frances Tiafoe

Rank: #21
41%
VS

Matteo Arnaldi

Rank: #96
59%
Expected Total Games: 41.2
Predicted Winner: Matteo Arnaldi

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Player Metrics

Frances Tiafoe

Form Index: 67.8
ELO Rating: 1856.0
Glicko2 Rating: 1855.9
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 38.1
Clay: 32.9
Grass: 15.9
Serve Rating: 95.4
Return Rating: 92.0

Matteo Arnaldi

Form Index: 65.7
ELO Rating: 1694.9
Glicko2 Rating: 1642.2
Current Fatigue (minutes): 522.0
Surface Strength:
Hard: 13.2
Clay: 27.8
Grass: 6.8
Serve Rating: 95.1
Return Rating: 86.8

Recent Matches

Frances Tiafoe

  • Last Match: vs Jaime Faria (3-2) clay Roland Garros 174 min
  • 2nd Last Match: vs Hubert Hurkacz (3-2) clay Roland Garros 174 min
  • 3rd Last Match: vs Eliot Spizzirri (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Camilo Ugo Carabelli (0-2) clay Hamburg 113 min
  • 5th Last Match: vs Diego Dedura (2-0) clay Hamburg 94 min

Matteo Arnaldi

  • Last Match: vs Raphael Collignon (3-2) clay Roland Garros 174 min
  • 2nd Last Match: vs Stefanos Tsitsipas (3-1) clay Roland Garros 174 min
  • 3rd Last Match: vs Tallon Griekspoor (3-1) clay Roland Garros 174 min
  • 4th Last Match: vs Rafael Jodar (1-2) clay Rome 121 min
  • 5th Last Match: vs Alex de Minaur (2-1) clay Rome 176 min

Head-to-Head (Last 2 Seasons)

0
Frances Tiafoe
vs
1
Matteo Arnaldi
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

Round of 16 at Roland-Garros in Paris pits Frances Tiafoe against Matteo Arnaldi on clay in a Grand Slam setting. The model favors Arnaldi to win (59.13%) over Tiafoe (40.87%), with a predicted total of about 41.25 games in the match.

Match Analysis

Tiafoe arrives as the higher-ranked player (No. 21) with an Elo of 1856 and a form index of 67.75; Arnaldi is ranked 96 with an Elo of 1695 and a form index of 65.72. Both have identical cumulative fatigue in this event (522 minutes), so endurance from prior minutes on court should play an even role. Tiafoe holds a modest edge in surface strength (32.9 vs 27.8), suggesting slightly better adaptation to clay, while their mean serve indices are nearly identical (95.41 vs 95.09). The mean return indices differ by just over five points (Tiafoe 92.0 vs Arnaldi 86.8), which could translate into Tiafoe being more effective on return games. Recent form shows consistent resilience for both: Tiafoe has won his three Roland-Garros matches, taking out Eliot Spizzirri, Hubert Hurkacz and Jaime Faria, with two tight five-setters among them. Arnaldi also boasts three wins here, including notable victories over Tallon Griekspoor and Stefanos Tsitsipas, and a five-set win in the most recent round. Those results underline Arnaldi’s capacity to raise his level in best-of-five and on clay, while Tiafoe’s strong return game has kept him competitive through long matches.

Total Games Predictions

🎾
Expected Total Games in Match 41.2 Most likely outcome: 41 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Frances Tiafoe versus Matteo Arnaldi. 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 Frances Tiafoe versus Matteo Arnaldi. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Frances Tiafoe - Matteo Arnaldi) -0.8 Most likely spread: -1 (Matteo Arnaldi wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Frances Tiafoe versus Matteo Arnaldi. Positive values indicate Frances Tiafoe winning more games, negative values indicate Matteo Arnaldi winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Frances Tiafoe versus Matteo Arnaldi. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at 18.12 for the match while the predicted double faults total 6.83. On slow, high-bounce clay, expected aces are reduced and returners have more time, a factor likely to keep the ace count lower than on faster surfaces; conversely, expected double faults can climb as rallies and fatigue set in. Neither player has a substantially higher serve rating, so the predicted aces should be split without a single server dominating the tally.
🎯
Expected Total Aces 18.1 Most likely: 18 aces
Expected Total Double Faults 6.8 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Frances Tiafoe versus Matteo Arnaldi. 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 Frances Tiafoe versus Matteo Arnaldi. 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 Frances Tiafoe versus Matteo Arnaldi. 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 Frances Tiafoe versus Matteo Arnaldi. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

50.1% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Frances Tiafoe's perspective)

0-3 Most likely set score (25.1%)
Probability distribution of the final set score from Frances Tiafoe's perspective. Format: BO5.

Final Prediction

Arnaldi’s edge in the model comes from match-by-match momentum at Roland-Garros and a profile that has handled clay opponents effectively this fortnight. The key factor to watch is Tiafoe’s return effectiveness — if he can exploit that advantage early, he can tilt tight service games and upend the probabilities.

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