Los Cabos Mexico Hard Atp 250 Round of 32

Gabriel Diallo vs Tristan Boyer: AI Prediction | Games, Spread, Aces & Double Faults

Gabriel Diallo

Rank: #92
61%
VS

Tristan Boyer

Rank: #166
39%
Expected Total Games: 24.4
Predicted Winner: Gabriel Diallo

Why the Model Favors Gabriel Diallo

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

Recent form +8.4 Gabriel Diallo
Serve & return game +5.1 Tristan Boyer
Recent record by level +3.7 Gabriel Diallo
Surface fit +2.6 Gabriel Diallo
Overall strength +1.7 Gabriel Diallo

Starting from an even matchup, these factors move the model to 61% for Gabriel Diallo. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Gabriel Diallo

Form Index: 35.4
ELO Rating: 1580.9
Glicko2 Rating: 1601.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 21.5
Clay: 17.9
Grass: 20.2
Serve Rating: 97.4
Return Rating: 88.0

Tristan Boyer

Form Index: 62.0
ELO Rating: 1665.9
Glicko2 Rating: 1715.2
Current Fatigue (minutes): 103.0
Surface Strength:
Hard: 20.7
Clay: 9.2
Grass: 13.7
Serve Rating: 95.2
Return Rating: 86.3

Recent Matches

Gabriel Diallo

Tristan Boyer

  • Last Match: vs Lorenzo Claverie (2-0) hard Los Cabos 103 min
  • 2nd Last Match: vs Nuno Borges (0-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Pablo Llamas Ruiz (3-1) grass Wimbledon 174 min
  • 4th Last Match: vs Andrea Pellegrino (2-0) grass Wimbledon 174 min
  • 5th Last Match: vs Genaro Alberto Olivieri (2-0) grass Wimbledon 174 min

Head-to-Head (Last 2 Seasons)

0
Gabriel Diallo
vs
0
Tristan Boyer
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Los Cabos, Mexico — Round of 32 on hard courts at a 250-level event. The model favours Gabriel Diallo to advance, with a 60.51% chance to win versus 39.49% for Tristan Boyer. The match is projected to be relatively short for a best-of-three, with an expected total of about 24.4 games.

Match Analysis

The model’s edge for Diallo comes mainly from recent form and match-level results: recent form contributes +8.4 percentage points toward Diallo, while his recent record at comparable levels and surface fit add smaller advantages. Diallo arrives with the higher tour rank (No. 92 vs 166) and enjoys a clean slate for tournament fatigue (0 minutes on court so far), which the model treats as valuable in a heat-and-travel environment. His form index sits at 35.4 and his Elo is 1580.9. By contrast Boyer posts a higher form index (62.0) and a stronger Elo (1665.9), but carries 103 minutes of cumulative court time this week. Serve and return dynamics tilt modestly toward Boyer in the model (+5.1 points for Boyer), though the raw serve and return indexes are close: Diallo’s mean serve index is 97.41 vs Boyer’s 95.24, and their mean return indexes are 87.96 and 86.31, respectively — not a large gap. Surface strength indexes are nearly identical (Diallo 21.46, Boyer 20.65), so neither player has a clear hard-court pedigree advantage. Recent form over the last three matches shows Diallo coming off long grass-court battles (a win over Bonzi and tight losses to Sonego and Draper), while Boyer has mixed results but a fresh straight-sets win at this event over Lorenzo Claverie.

Total Games Predictions

🎾
Expected Total Games in Match 24.4 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Gabriel Diallo versus Tristan Boyer. 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 Gabriel Diallo versus Tristan Boyer. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Gabriel Diallo - Tristan Boyer) +1.3 Most likely spread: +1 (Gabriel Diallo wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Gabriel Diallo versus Tristan Boyer. Positive values indicate Gabriel Diallo winning more games, negative values indicate Tristan Boyer winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Gabriel Diallo versus Tristan Boyer. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is about 13.97 total, and the expected double faults total is roughly 5.06. On a medium-paced hard court, predicted aces are moderate — more than clay but fewer than fast grass — and the expected double faults reflect two servers who can be aggressive but fairly controlled. Because the two players’ serve ratings are similar, no single player is likely to dominate the ace count.
🎯
Expected Total Aces 14.0 Most likely: 13 aces
Expected Total Double Faults 5.1 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Gabriel Diallo versus Tristan Boyer. 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 Gabriel Diallo versus Tristan Boyer. 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 Gabriel Diallo versus Tristan Boyer. 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 Gabriel Diallo versus Tristan Boyer. 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

39.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Gabriel Diallo's perspective)

2-0 Most likely set score (42.2%)
Probability distribution of the final set score from Gabriel Diallo's perspective. Format: BO3.

Final Prediction

Diallo’s edge largely comes from recent form and the lack of accumulated fatigue, which the model identifies as the top factor. Watch how the match unfolds early: if Boyer’s serve-and-return combination presses Diallo while his legs show from prior court time, the contest could tighten; if Diallo leverages freshness and steadier shotmaking, he should close it out.

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