Los Cabos Mexico Hard Atp 250 Round of 32

Denis Shapovalov vs Rinky Hijikata: AI Prediction | Games, Spread, Aces & Double Faults

Denis Shapovalov

Rank: #68
45%
VS

Rinky Hijikata

Rank: #93
55%
Expected Total Games: 23.7
Predicted Winner: Rinky Hijikata

Why the Model Favors Rinky Hijikata

The factors that drove this prediction, measured in win-probability points.

Recent record by level +3.1 Denis Shapovalov
Recent form +3.0 Rinky Hijikata
Overall record & opposition quality +1.8 Rinky Hijikata
Serve & return game +1.3 Rinky Hijikata
Surface fit +0.9 Rinky Hijikata

Starting from an even matchup, these factors move the model to 55% for Rinky Hijikata. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Denis Shapovalov

Form Index: 28.5
ELO Rating: 1542.5
Glicko2 Rating: 1625.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 27.8
Clay: 11.4
Grass: 9.1
Serve Rating: 96.3
Return Rating: 90.5

Rinky Hijikata

Form Index: 34.8
ELO Rating: 1635.4
Glicko2 Rating: 1708.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 27.1
Clay: 7.4
Grass: 10.4
Serve Rating: 95.2
Return Rating: 87.0

Recent Matches

Denis Shapovalov

  • Last Match: vs Pablo Carreno Busta (0-2) grass Wimbledon 174 min
  • 2nd Last Match: vs Alex de Minaur (0-2) grass London 64 min
  • 3rd Last Match: vs Jack Pinnington Jones (2-1) grass London 138 min
  • 4th Last Match: vs Marin Cilic (1-2) grass S Hertogenbosch 163 min
  • 5th Last Match: vs Jaime Faria (0-3) clay Roland Garros 174 min

Rinky Hijikata

  • Last Match: vs Jesper de Jong (2-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Ugo Humbert (0-2) grass London 64 min
  • 3rd Last Match: vs Jiri Lehecka (2-1) grass London 167 min
  • 4th Last Match: vs Alejandro Tabilo (2-0) grass London 65 min
  • 5th Last Match: vs Marcos Giron (2-1) grass London 143 min

Head-to-Head (Last 2 Seasons)

0
Denis Shapovalov
vs
0
Rinky Hijikata
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Los Cabos (Mexico), round of 32 on hard courts in an ATP 250 event, Rinky Hijikata is narrowly favoured over Denis Shapovalov. The model gives Hijikata a 55.17% chance to win versus 44.83% for Shapovalov, and expects about 23.7 total games in the match.

Match Analysis

The model’s edge for Hijikata comes mainly from recent form and his overall record against the quality of opposition, supported by a modest advantage in serve/return interplay and surface fit; however the single strongest driver in the explainability output slightly favours Shapovalov on recent record by level. Hijikata’s Elo (1635.39) is noticeably higher than Shapovalov’s (1542.52), and his form index (34.85) also edges Shapovalov’s (28.48). Both players register similar surface strength indices (Shapovalov 27.83, Hijikata 27.06) and neither carries reported tournament fatigue (0.0 minutes). Shapovalov brings excellent baseline tools reflected in a high mean return index (90.48) and a leading serve profile (mean serve index 96.26). Hijikata’s serve index (95.23) and return index (86.98) are strong too, but not separated by the 5-point threshold that would make serve/return differences decisive. Recent matches show both drifting on grass: Shapovalov posted one win and two losses (including two straight-set defeats to top opponents), while Hijikata has a 1-2 split with a five-set loss and a five-set win among his last three. Those extended matches (notably 174 and 167 minutes) suggest match sharpness despite zero tournament fatigue.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Denis Shapovalov 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 Denis Shapovalov 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 (Denis Shapovalov - Rinky Hijikata) -0.4 Most likely spread: -1 (Rinky Hijikata wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Denis Shapovalov versus Rinky Hijikata. Positive values indicate Denis Shapovalov 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 Denis Shapovalov versus Rinky Hijikata. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is moderate: the model’s predicted aces total is 11.75 and the expected double faults total is 8.09. On hard courts—a medium-paced, consistent-bounce surface—predicted aces and expected double faults sit between typical grass and clay numbers. Neither player posts a significantly higher serve rating to push ace counts drastically higher, so the predicted aces remain modest.
🎯
Expected Total Aces 11.8 Most likely: 11 aces
Expected Total Double Faults 8.1 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Denis Shapovalov 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 Denis Shapovalov 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 Denis Shapovalov 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 Denis Shapovalov versus Rinky Hijikata. 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

39.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Denis Shapovalov's perspective)

0-2 Most likely set score (32.2%)
Probability distribution of the final set score from Denis Shapovalov's perspective. Format: BO3.

Final Prediction

Hijikata’s slight advantage is driven most by recent form and his overall results against stronger opposition, combined with a small edge in serve/return balance. Key factor to watch: how Shapovalov’s high return index handles Hijikata’s serve in short rallies—that matchup will likely decide whether the match stays short or stretches toward the projected games total.

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