Toronto Canada Hard Masters 1000 Quarterfinals

Rafael Jodar vs Arthur Fils: AI Prediction | Games, Spread, Aces & Double Faults

Rafael Jodar

Rank: #24
60%
VS

Arthur Fils

Rank: #22
40%
Expected Total Games: 26.0
Predicted Winner: Rafael Jodar

Why the Model Favors Rafael Jodar

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

Recent record by level +4.8 Rafael Jodar
Surface fit +4.4 Rafael Jodar
Overall strength +3.4 Arthur Fils
Recent form +3.0 Rafael Jodar
Overall record & opposition quality +2.5 Rafael Jodar

Starting from an even matchup, these factors move the model to 60% for Rafael Jodar. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Rafael Jodar

Form Index: 83.3
ELO Rating: 1975.9
Glicko2 Rating: 1950.1
Current Fatigue (minutes): 306.0
Surface Strength:
Hard: 41.1
Clay: 37.5
Grass: 12.1
Serve Rating: 95.9
Return Rating: 91.9

Arthur Fils

Form Index: 53.6
ELO Rating: 1913.2
Glicko2 Rating: 1960.1
Current Fatigue (minutes): 280.0
Surface Strength:
Hard: 44.5
Clay: 40.9
Grass: 13.5
Serve Rating: 96.3
Return Rating: 87.4

Recent Matches

Rafael Jodar

Arthur Fils

Head-to-Head (Last 2 Seasons)

1
Rafael Jodar
vs
1
Arthur Fils
Hard
1 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

This quarterfinal in Toronto — a hard-court Masters 1000 match in Canada — pits Rafael Jodar against Arthur Fils. The model gives the edge to Rafael Jodar (60.18%) over Arthur Fils (39.82%), with a predicted total of about 26.01 games in the match.

Match Analysis

The model’s edge for Jodar comes mainly from his recent record at this level and his hard-court form here: “recent record by level” and “surface fit” are the largest drivers toward Jodar. He’s won three straight matches in Toronto, including straight-set victories over Lorenzo Musetti and Jiri Lehecka, which underpins that level-specific momentum. Jodar’s form index (83.27) and higher Elo (1975.9) back up a strong run this week, even though his cumulative fatigue (306 minutes) is higher than Fils (280 minutes). Surface fit and recent form also tilt toward Jodar despite raw surface-strength figures that are close: Jodar’s surface strength index is 41.08 versus Fils’s 44.51, but Jodar’s match-by-match hard-court results here give him the practical edge in the model’s surface assessment. Fils carries a slight overall-strength signal in the model (the only key factor leaning to him), which aligns with his marginally higher ranking (22 vs 24). Serve and return profiles are both excellent; neither mean serve nor mean return differ by more than five points, so there’s no large baseline-serving advantage on paper. Over the last three matches both players are unbeaten in Toronto — Jodar has been efficient (two straight-set wins and one 2–1), while Fils also boasts straight-set wins over Cameron Norrie and Mariano Navone.

Total Games Predictions

🎾
Expected Total Games in Match 26.0 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Rafael Jodar versus Arthur Fils. 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 Rafael Jodar versus Arthur Fils. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Rafael Jodar - Arthur Fils) -0.2 Most likely spread: -1 (Arthur Fils wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Rafael Jodar versus Arthur Fils. Positive values indicate Rafael Jodar winning more games, negative values indicate Arthur Fils winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Rafael Jodar versus Arthur Fils. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction points to a moderate serving day: predicted aces for the match are 10.44 and expected double faults are 5.0. On medium-paced hard courts this aligns with typical outcomes — not as many aces as on grass, but more than on clay. Neither player has a significantly higher serve rating, so the predicted aces are driven by both servers rather than one dominating the count.
🎯
Expected Total Aces 10.4 Most likely: 10 aces
Expected Total Double Faults 5.0 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Rafael Jodar versus Arthur Fils. 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 Rafael Jodar versus Arthur Fils. 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 Rafael Jodar versus Arthur Fils. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Rafael Jodar versus Arthur Fils. 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

33.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Rafael Jodar's perspective)

2-0 Most likely set score (35.2%)
Probability distribution of the final set score from Rafael Jodar's perspective. Format: BO3.

Final Prediction

Jodar’s advantage is rooted primarily in his recent record at this level — the top model key factor — and his strong form in Toronto. Watch his early returns and ability to handle cumulative minutes on court: those will likely decide whether he converts the modeled edge into a quarterfinal win.

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