Roland Garros France Clay Grand Slam Round of 128

Rinky Hijikata vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults

Rinky Hijikata

Rank: #102
19%
VS

Tommy Paul

Rank: #26
81%
Expected Total Games: 37.9
Predicted Winner: Tommy Paul

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Player Metrics

Rinky Hijikata

Form Index: 45.1
ELO Rating: 1627.2
Glicko2 Rating: 1672.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 27.1
Clay: 6.7
Grass: 9.0
Serve Rating: 95.8
Return Rating: 93.4

Tommy Paul

Form Index: 44.4
ELO Rating: 1832.1
Glicko2 Rating: 1885.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 38.9
Clay: 39.6
Grass: 17.1
Serve Rating: 94.2
Return Rating: 86.6

Recent Matches

Rinky Hijikata

  • Last Match: vs Daniel Altmaier (0-2) clay Hamburg 100 min
  • 2nd Last Match: vs Henri Squire (2-1) clay Hamburg 220 min
  • 3rd Last Match: vs Taro Daniel (2-1) clay Hamburg 142 min
  • 4th Last Match: vs Nikoloz Basilashvili (0-2) clay Rome 74 min
  • 5th Last Match: vs Pierluigi Basile (2-1) clay Rome 175 min

Tommy Paul

Head-to-Head (Last 2 Seasons)

0
Rinky Hijikata
vs
1
Tommy Paul
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Roland Garros in Paris, Round of 128 on clay, Tommy Paul is strongly favored to advance in the opening match of this Grand Slam clash. The model projects Paul to win with an 80.99% probability versus Rinky Hijikata’s 19.01%, and the match is expected to contain about 37.85 total games.

Match Analysis

Paul arrives as the higher-ranked player (No. 26) with a markedly superior Elo (1832.05) compared with Hijikata (rank 102, Elo 1627.18). Both show similar form indices (Hijikata 45.08, Paul 44.42) and neither carries tournament fatigue into this match (0 minutes on court). Surface strength is a clear differentiator: Paul’s surface strength index (39.59) far outstrips Hijikata’s (6.70), suggesting Paul’s game is better adapted to clay in the metrics provided. Serving profiles are broadly comparable (mean serve index: Hijikata 95.82, Paul 94.20), so neither holds a striking edge in raw serve metrics; however Hijikata’s mean return index (93.45) is noticeably higher than Paul’s (86.62), a gap greater than five points that may reward aggressive returning tactics. Recent form tells a consistent story: Paul is 3-0 across his last three clay matches in Hamburg, including a long win over Etcheverry and a straight-sets victory over Altmaier, while Hijikata won two prior Hamburg matches before falling to Altmaier in his most recent outing.

Total Games Predictions

🎾
Expected Total Games in Match 37.9 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Rinky Hijikata versus Tommy Paul. 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 Rinky Hijikata versus Tommy Paul. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Rinky Hijikata - Tommy Paul) -4.0 Most likely spread: -4 (Tommy Paul wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Rinky Hijikata versus Tommy Paul. Positive values indicate Rinky Hijikata winning more games, negative values indicate Tommy Paul winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction sits at 12.69 for the match while the expected double faults total is 5.93. On clay, predicted aces tend to be lower because the slower surface and higher bounce reduce outright service winners; this supports the modest aces projection. With serve ratings similar between the two, neither player is expected to drive a dramatic spike in the predicted aces, while expected double faults reflect clay’s tendency toward longer rallies and occasional late-match lapses.
🎯
Expected Total Aces 12.7 Most likely: 12 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Rinky Hijikata versus Tommy Paul. 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 Rinky Hijikata versus Tommy Paul. 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 Rinky Hijikata versus Tommy Paul. 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 Rinky Hijikata versus Tommy Paul. 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

41.5% Predicted: No tiebreak

Exact Score Distribution BO5

Probability of each set-by-set outcome (Rinky Hijikata's perspective)

0-3 Most likely set score (47.8%)
Probability distribution of the final set score from Rinky Hijikata's perspective. Format: BO5.

Final Prediction

Paul’s higher rank, stronger Elo and substantially better clay surface index give him the clear edge in this matchup. Watch how Paul copes with Hijikata’s strong return—if Paul can neutralize that threat early, the match should tilt decisively in his favor.

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