Indian Wells CA, U.S.A. Hard Masters 1000 Round of 128

Francesco Maestrelli vs Rinky Hijikata: AI Prediction | Games, Spread, Aces & Double Faults

Francesco Maestrelli

Rank: #111
44%
VS

Rinky Hijikata

Rank: #115
56%
Expected Total Games: 22.7
Predicted Winner: Rinky Hijikata

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Player Metrics

Francesco Maestrelli

Form Index: 64.3
ELO Rating: 578.8
Glicko2 Rating: 1548.8
Current Fatigue (minutes): 253.0
Surface Strength:
Hard: 2.8
Clay: 3.0
Grass: 3.7
Serve Rating: 42.3
Return Rating: 15.7

Rinky Hijikata

Form Index: 53.5
ELO Rating: 655.4
Glicko2 Rating: 1578.4
Current Fatigue (minutes): 228.0
Surface Strength:
Hard: 6.3
Clay: 4.1
Grass: 4.7
Serve Rating: 97.4
Return Rating: 91.6

Recent Matches

Francesco Maestrelli

Rinky Hijikata

  • Last Match: vs Ignacio Buse (2-1) hard Indian Wells 133 min
  • 2nd Last Match: vs Leandro Riedi (2-0) hard Indian Wells 95 min
  • 3rd Last Match: vs Mattia Bellucci (0-2) hard Acapulco 124 min
  • 4th Last Match: vs Yibing Wu (0-2) hard Acapulco 87 min
  • 5th Last Match: vs Alan Magadan (2-0) hard Acapulco 110 min

Head-to-Head (Last 2 Seasons)

0
Francesco Maestrelli
vs
0
Rinky Hijikata
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells in California, the opening round on the hard courts pits Francesco Maestrelli against Rinky Hijikata in a Masters 1000 Round of 128 clash. The model gives the edge to Rinky Hijikata, projected to win with a 56.46% probability versus 43.54% for Maestrelli, and forecasts a relatively short match of about 22.73 total games.

Match Analysis

On paper this is a tight matchup by ranking—Maestrelli sits at No.111 and Hijikata at No.115—but the underlying numbers tell the story. Maestrelli brings a higher recent form index (64.27) compared with Hijikata (53.53), yet Hijikata leads comfortably on Elo (655.40 to 578.76). Maestrelli has logged slightly more court time in the event (253 vs 228 minutes), which could translate to marginal extra fatigue. Both players show low surface strength indices on hard (Maestrelli 2.78, Hijikata 6.28), so neither has a pronounced historical edge on this surface. The biggest disparities are in serve and return profiles. Hijikata’s mean serve index (97.38) dwarfs Maestrelli’s (42.30) by more than 50 points, and his mean return index (91.62) similarly surpasses Maestrelli’s (15.70) by a wide margin—both meaningful differentials that will shape points behind serve and in return games. Recent form is comparable: each has two wins in their last three outings at hard-court events, with Maestrelli beating Tirante and Jarry before falling to Djokovic, and Hijikata beating Buse and Riedi with a loss in Acapulco to Bellucci.

Total Games Predictions

🎾
Expected Total Games in Match 22.7 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Francesco Maestrelli - Rinky Hijikata) +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 Francesco Maestrelli versus Rinky Hijikata. Positive values indicate Francesco Maestrelli winning more games, negative values indicate Rinky Hijikata winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

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

Aces and Double Faults Predictions

This hard-court match produces a healthy aces prediction with an expected total of 16.86 aces; the predicted aces lean toward Hijikata given his dominant serve rating. The expected double faults are modest (5.74) — an expected double faults figure consistent with medium-paced hard courts. Given Hijikata’s much higher serve index, he is the likeliest source of the bulk of the predicted aces.
🎯
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 Francesco Maestrelli versus Rinky Hijikata. 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 Francesco Maestrelli versus Rinky Hijikata. 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 Francesco Maestrelli versus Rinky Hijikata. 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 Francesco Maestrelli versus Rinky Hijikata. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Hijikata’s superior Elo and overwhelming serve/return metrics give him the edge despite Maestrelli’s slightly better form index and marginally higher fatigue. Watch the early return games: if Hijikata converts early pressure behind his serve, the match could follow the short, decisive script the numbers predict.

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