Mallorca Spain Grass Atp 250 Round of 32

Ethan Quinn vs Valentin Royer: AI Prediction | Games, Spread, Aces & Double Faults

Ethan Quinn

Rank: #66
47%
VS

Valentin Royer

Rank: #75
53%
Expected Total Games: 25.9
Predicted Winner: Valentin Royer

Why the Model Favors Valentin Royer

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

Surface fit +3.8 Valentin Royer
Serve & return game +3.0 Valentin Royer
Overall strength +2.9 Ethan Quinn
Overall record & opposition quality +2.8 Ethan Quinn
Fatigue & recent workload +1.8 Ethan Quinn

Starting from an even matchup, these factors move the model to 53% for Valentin Royer. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Ethan Quinn

Form Index: 27.8
ELO Rating: 1534.1
Glicko2 Rating: 1592.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 25.7
Clay: 15.9
Grass: 13.0
Serve Rating: 96.7
Return Rating: 92.1

Valentin Royer

Form Index: 33.2
ELO Rating: 1500.8
Glicko2 Rating: 1404.4
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 12.4
Clay: 12.8
Grass: 19.6
Serve Rating: 96.5
Return Rating: 87.7

Recent Matches

Ethan Quinn

Valentin Royer

Head-to-Head (Last 2 Seasons)

0
Ethan Quinn
vs
0
Valentin Royer
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Mallorca, Spain — Round of 32 on grass at an ATP 250 event. The model narrowly favors Valentin Royer to prevail, projecting a 53.0% chance for Royer versus 47.0% for Ethan Quinn, with an expected total of about 25.9 games in the match.

Match Analysis

The model’s edge for Royer comes mainly from surface fit and the serve/return matchup. Royer’s surface strength index (19.55) is noticeably higher than Quinn’s (12.98), and on fast grass that extra comfort handling low, skidding bounces nudges the probabilities in his direction. The serve & return factor also favors Royer in the model (3.0 percentage points), though both players present elite serve profiles — Quinn’s mean serve index is 96.74 and Royer’s 96.47 — so expect quick holds when the first delivery lands. Quinn’s overall strength and quality of recent opposition pull the prediction back toward him. He sits higher in the rankings (No. 66 vs No. 75) and has the stronger Elo (1534 vs 1501), which the model rewards (nearly 3 percentage points toward Quinn combined for overall strength and record). Fatigue & recent workload is also counted slightly in Quinn’s favor by the engine (1.8 points), even though tournament cumulative fatigue shows 0.0 minutes on court for both players. Form indexes are mixed: Royer’s form index (33.20) is above Quinn’s (27.77). Looking at the last three matches, Quinn beat Khachanov but lost to Ben Shelton and Francisco Comesana; Royer dispatched Hugo Dellien but fell to Novak Djokovic and Francisco Comesana.

Total Games Predictions

🎾
Expected Total Games in Match 25.9 Most likely outcome: 26 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Ethan Quinn versus Valentin Royer. 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 Ethan Quinn versus Valentin Royer. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Ethan Quinn - Valentin Royer) +0.6 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 Ethan Quinn versus Valentin Royer. Positive values indicate Ethan Quinn winning more games, negative values indicate Valentin Royer winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Ethan Quinn versus Valentin Royer. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the model forecasts about 15.58 total aces for the match and a double faults prediction of roughly 5.52. On grass — the fastest surface — these predicted aces numbers are consistent with both players’ very high serve indexes, which should produce free points and quick service holds. The expected double faults remain moderate; neither player shows a notably higher serve rating that would strongly skew the ace count.
🎯
Expected Total Aces 15.6 Most likely: 15 aces
Expected Total Double Faults 5.5 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Ethan Quinn versus Valentin Royer. 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 Ethan Quinn versus Valentin Royer. 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 Ethan Quinn versus Valentin Royer. 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 Ethan Quinn versus Valentin Royer. 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

49.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Ethan Quinn's perspective)

0-2 Most likely set score (31.6%)
Probability distribution of the final set score from Ethan Quinn's perspective. Format: BO3.

Final Prediction

Royer’s superior surface fit is the top reason he holds the slight edge in this matchup. The key factor to watch will be the serve/return exchanges on grass — small differences in first-serve effectiveness and low-bouncing rally starts are likely to decide a tight encounter.

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