London Great Britain Grass Atp 500 Round of 16

Rinky Hijikata vs Jiri Lehecka: AI Prediction | Games, Spread, Aces & Double Faults

Rinky Hijikata

Rank: #104
25%
VS

Jiri Lehecka

Rank: #12
75%
Expected Total Games: 27.6
Predicted Winner: Jiri Lehecka

Why the Model Favors Jiri Lehecka

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

Recent record by level +10.3 Jiri Lehecka
Overall strength +4.6 Jiri Lehecka
Serve & return game +4.3 Jiri Lehecka
Surface fit +2.9 Jiri Lehecka
Overall record & opposition quality +1.9 Jiri Lehecka

Starting from an even matchup, these factors move the model to 75% for Jiri Lehecka. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Rinky Hijikata

Form Index: 52.9
ELO Rating: 1673.5
Glicko2 Rating: 1727.2
Current Fatigue (minutes): 349.0
Surface Strength:
Hard: 27.1
Clay: 7.4
Grass: 14.1
Serve Rating: 95.9
Return Rating: 93.6

Jiri Lehecka

Form Index: 46.4
ELO Rating: 1808.5
Glicko2 Rating: 1858.1
Current Fatigue (minutes): 112.0
Surface Strength:
Hard: 41.3
Clay: 29.2
Grass: 28.6
Serve Rating: 96.1
Return Rating: 84.6

Recent Matches

Rinky Hijikata

  • Last Match: vs Alejandro Tabilo (2-0) grass London 65 min
  • 2nd Last Match: vs Marcos Giron (2-1) grass London 143 min
  • 3rd Last Match: vs Dino Prizmic (2-1) grass London 141 min
  • 4th Last Match: vs Frances Tiafoe (0-2) grass Stuttgart 79 min
  • 5th Last Match: vs Tom Gentzsch (2-1) grass Stuttgart 140 min

Jiri Lehecka

  • Last Match: vs Kamil Majchrzak (2-0) grass London 112 min
  • 2nd Last Match: vs Ben Shelton (1-2) grass Stuttgart 172 min
  • 3rd Last Match: vs Frances Tiafoe (2-0) grass Stuttgart 85 min
  • 4th Last Match: vs James Duckworth (2-1) grass Stuttgart 146 min
  • 5th Last Match: vs Pablo Carreno Busta (0-3) clay Roland Garros 174 min

Head-to-Head (Last 2 Seasons)

0
Rinky Hijikata
vs
0
Jiri Lehecka
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This round of 16 clash in London on grass at an ATP 500 sees Rinky Hijikata face Jiri Lehecka with a place in the quarter-finals at stake. The model backs Lehecka to prevail — 74.94% to Hijikata’s 25.06% — with a predicted total of about 27.6 games in the match.

Match Analysis

The model’s edge for Lehecka comes mainly from recent performances by level and his overall strength: recent record by level contributes +10.3 percentage points and overall strength adds +4.6 toward Lehecka. That aligns with the numbers — Lehecka’s Elo (1808.5) and world ranking (12) sit well above Hijikata’s Elo (1673.5) and rank (104), indicating the higher-class results expected in tight moments. Serve & return game (+4.3 toward Lehecka) also matters: while their mean serve indices are essentially identical (Lehecka 96.05 vs Hijikata 95.90), Hijikata’s mean return index (93.62) is notably higher than Lehecka’s (84.60), a difference worth watching though the model still favors Lehecka overall. Surface fit (+2.9 toward Lehecka) and overall record against quality opponents (+1.9) further tilt the scales; Lehecka’s higher surface strength index (28.55 vs Hijikata’s 14.06) and cleaner recent results at higher-level events support that margin. Fatigue is a factor: Hijikata has accumulated 349 minutes on court this week versus Lehecka’s 112, which could blunt Hijikata’s power late. Form indices show Hijikata with a slightly higher form index (52.9 vs 46.4), and recent match logs show Hijikata arriving in fine playing rhythm with three wins in London; Lehecka is 2-1 across his last three, including a straight-sets win here and a tight loss to Ben Shelton on grass.

Total Games Predictions

🎾
Expected Total Games in Match 27.6 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Rinky Hijikata - Jiri Lehecka) -2.5 Most likely spread: -3 (Jiri Lehecka wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction (predicted aces ~15.82) reflects grass as the fastest surface and both players’ big serves; expect plenty of free points. The double faults prediction (expected double faults ~4.47) is moderate — neither player profiles as a prolific d-fault maker, but fatigue could raise Hijikata’s count late. If one player’s serve index had been far higher it would push the aces prediction upward, but here the similar serve ratings suggest a shared contribution.
🎯
Expected Total Aces 15.8 Most likely: 15 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Rinky Hijikata versus Jiri Lehecka. 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 Jiri Lehecka. 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 Jiri Lehecka. 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 Jiri Lehecka. 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

51.4% Predicted: Tiebreak likely

Exact Score Distribution BO3

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

0-2 Most likely set score (51.0%)
Probability distribution of the final set score from Rinky Hijikata's perspective. Format: BO3.

Final Prediction

Lehecka’s advantage is driven primarily by the recent record at level and superior overall strength — those are the clearest model drivers. Watch Lehecka’s hold-under-pressure and Hijikata’s capacity to convert returns early; return success or a late drop in serve quality could be the decisive swing.

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