Rome Italy Clay Masters 1000 Round of 64

Brandon Nakashima vs Roberto Bautista Agut: AI Prediction | Games, Spread, Aces & Double Faults

Brandon Nakashima

Rank: #32
67%
VS

Roberto Bautista Agut

Rank: #98
33%
Expected Total Games: 28.6
Predicted Winner: Brandon Nakashima

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Player Metrics

Brandon Nakashima

Form Index: 34.1
ELO Rating: 1626.5
Glicko2 Rating: 1737.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.9
Clay: 14.0
Grass: 20.5
Serve Rating: 96.8
Return Rating: 89.0

Roberto Bautista Agut

Form Index: 32.4
ELO Rating: 1532.0
Glicko2 Rating: 1532.3
Current Fatigue (minutes): 120.0
Surface Strength:
Hard: 14.8
Clay: 11.6
Grass: 11.9
Serve Rating: 95.4
Return Rating: 87.5

Recent Matches

Brandon Nakashima

Roberto Bautista Agut

Head-to-Head (Last 2 Seasons)

0
Brandon Nakashima
vs
1
Roberto Bautista Agut
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

At the Rome Masters 1000, round of 64 on clay, Brandon Nakashima is projected to beat Roberto Bautista Agut. The model gives Nakashima a 66.52% chance to win against Bautista Agut’s 33.48%, with a predicted total of about 28.61 games in the match.

Match Analysis

Nakashima arrives as the higher-ranked player (No. 32) with an Elo of 1626.50 and a form index of 34.06. He shows strong serving and returning components in the proprietary indices: mean serve 96.75 and mean return 88.97, and a surface strength index of 13.96. Bautista Agut is ranked 98 with an Elo of 1532.05 and a form index of 32.44; his mean serve is 95.42, mean return 87.47 and surface strength 11.63. Neither player posts a mean serve or return index more than five points above the other, so their baseline serving profiles are broadly similar on paper. Fatigue is a notable contrast: Nakashima has 0 minutes on court in this event, while Bautista Agut has accrued 120 minutes, which could matter on physically demanding clay. Recent form is mixed for both. Nakashima is 1–2 in his last three matches on clay: a straight-sets win over Juan Manuel Cerundolo (Barcelona), then losses to Arthur Fils (Barcelona) and Alexander Blockx (Madrid), the latter a three-set match of 111 minutes. Bautista Agut is also 1–2 over his last three: a 120-minute straight-sets win over Francesco Maestrelli in Rome, and earlier defeats to Thiago Tirante and Matteo Berrettini. Those results suggest both players have been tested on clay recently, but Nakashima’s higher Elo and fresher legs tilt the balance.

Total Games Predictions

🎾
Expected Total Games in Match 28.6 Most likely outcome: 29 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Brandon Nakashima versus Roberto Bautista Agut. 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 Brandon Nakashima versus Roberto Bautista Agut. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Brandon Nakashima - Roberto Bautista Agut) +1.4 Most likely spread: +1 (Brandon Nakashima wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Brandon Nakashima versus Roberto Bautista Agut. Positive values indicate Brandon Nakashima winning more games, negative values indicate Roberto Bautista Agut winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Brandon Nakashima versus Roberto Bautista Agut. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

This match carries a predicted aces total of 12.04 and an expected double faults total of 3.87. The aces prediction is moderated by clay’s slower, higher-bouncing characteristics, which typically reduce free points from serves. The expected double faults are consistent with clay’s longer rallies and the potential for fatigue; Bautista Agut’s 120 minutes on court could nudge his error count upward. Neither player’s serve index is significantly higher, so the predicted aces are driven more by surface and match dynamics than a single dominant server.
🎯
Expected Total Aces 12.0 Most likely: 12 aces
Expected Total Double Faults 3.9 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Brandon Nakashima versus Roberto Bautista Agut. 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 Brandon Nakashima versus Roberto Bautista Agut. 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 Brandon Nakashima versus Roberto Bautista Agut. 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 Brandon Nakashima versus Roberto Bautista Agut. 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

41.6% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Brandon Nakashima's perspective)

2-0 Most likely set score (36.3%)
Probability distribution of the final set score from Brandon Nakashima's perspective. Format: BO3.

Final Prediction

Nakashima’s higher ranking, superior Elo and the freshness he brings into Rome give him the edge in this matchup. The key factor to watch will be Bautista Agut’s ability to withstand long exchanges late in sets — fatigue and consistency on serve could decide tight moments.

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