Us Open NY, U.S.A. Hard Grand Slam Round of 32

Valentin Vacherot vs Frances Tiafoe: AI Prediction | Games, Spread, Aces & Double Faults

Valentin Vacherot

Rank: #23
35%
VS

Frances Tiafoe

Rank: #12
65%
Expected Total Games: 37.2
Predicted Winner: Frances Tiafoe

Why the Model Favors Frances Tiafoe

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

Overall strength +5.4 Frances Tiafoe
Recent record by level +4.1 Frances Tiafoe
Overall record & opposition quality +3.3 Frances Tiafoe
Surface fit +2.5 Frances Tiafoe
Serve & return game +0.8 Valentin Vacherot

Starting from an even matchup, these factors move the model to 65% for Frances Tiafoe. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Valentin Vacherot

Form Index: 44.6
ELO Rating: 1743.8
Glicko2 Rating: 1745.4
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 32.6
Clay: 28.8
Grass: 16.6
Serve Rating: 97.1
Return Rating: 88.4

Frances Tiafoe

Form Index: 74.8
ELO Rating: 1946.3
Glicko2 Rating: 1895.5
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 47.0
Clay: 29.9
Grass: 28.9
Serve Rating: 95.7
Return Rating: 88.0

Recent Matches

Valentin Vacherot

Frances Tiafoe

Head-to-Head (Last 2 Seasons)

0
Valentin Vacherot
vs
0
Frances Tiafoe
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, Round of 32 on hard courts, Frances Tiafoe is the model pick over Valentin Vacherot. The prediction gives Tiafoe a 65.14% chance to win versus 34.86% for Vacherot, with an expected total of about 37.2 games in the match.

Match Analysis

The model's edge for Tiafoe comes mainly from overall strength, with secondary support from recent results at this level and the quality of past opposition. The explainability engine attributes +5.4 percentage points to overall strength, +4.1 to recent record by level, +3.3 to overall record and opposition quality, and +2.5 to surface fit toward Tiafoe. A small countervailing factor of +0.8 points favors Vacherot for serve and return play. The raw numbers underline those shifts. Tiafoe is the higher-ranked player at 12 versus Vacherot at 23. His form index is markedly stronger at 74.76 compared with 44.57. Elo favors Tiafoe by a wide margin, 1946.33 to 1743.78. Both players show identical tournament fatigue totals, 348 minutes on court. On hard courts Tiafoe also posts a better surface strength index, 46.95 against Vacherot's 32.56. Serve and return indices are comparable, with Vacherot at 97.15 serve and 88.43 return, and Tiafoe at 95.73 serve and 88.01 return, giving only a marginal edge to Vacherot in those metrics. Recent form is similar in headline results but not in underlying profile. Vacherot arrives after two straight US Open wins (over Majchrzak and Kovacevic) and an earlier loss in Cincinnati. Tiafoe also won his last two matches at the US Open (including a five set win in the prior round) and has a recent loss in Cincinnati. The model favors Tiafoe because his higher baseline quality and better surface fit outweigh Vacherot's service pocket strengths.

Total Games Predictions

🎾
Expected Total Games in Match 37.2 Most likely outcome: 35 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Valentin Vacherot - Frances Tiafoe) -1.4 Most likely spread: -2 (Frances Tiafoe wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Valentin Vacherot versus Frances Tiafoe. Positive values indicate Valentin Vacherot winning more games, negative values indicate Frances Tiafoe winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Valentin Vacherot versus Frances Tiafoe. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sees about 21.0 total aces in the match, with predicted aces split of 11.78 for Vacherot and 9.8 for Tiafoe. The expected double faults total is 8.47, split into 4.63 for Vacherot and 3.83 for Tiafoe. On a medium-paced hard court, these predicted aces and expected double faults fit the surface profile that rewards both servers and returners. Per player numbers confirm Vacherot projects slightly more aces, 11.78 versus 9.8, reflecting his marginally higher serve index.
🎯
Expected Total Aces 21.0 Most likely: 19 aces Per player: Valentin Vacherot 11.8 + Frances Tiafoe 9.8
Expected Total Double Faults 8.5 Most likely: 7 double faults Per player: Valentin Vacherot 4.6 + Frances Tiafoe 3.8

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Valentin Vacherot versus Frances Tiafoe. 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 Valentin Vacherot versus Frances Tiafoe. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Valentin Vacherot

Expected 11.8 aces

Probability distribution for the aces Valentin Vacherot serves in this match.
Frances Tiafoe

Expected 9.8 aces

Probability distribution for the aces Frances Tiafoe serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Valentin Vacherot versus Frances Tiafoe. 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 Valentin Vacherot versus Frances Tiafoe. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Valentin Vacherot

Expected 4.6 double faults

Probability distribution for the double faults Valentin Vacherot serves in this match.
Frances Tiafoe

Expected 3.8 double faults

Probability distribution for the double faults Frances Tiafoe serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

51.4% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Valentin Vacherot's perspective)

0-3 Most likely set score (31.9%)
Probability distribution of the final set score from Valentin Vacherot's perspective. Format: BO5.

Final Prediction

Tiafoe is favoured largely because of overall strength, as captured by his superior Elo, ranking, and form index. A key factor to watch is Vacherot's serve: if his slightly higher serve numbers translate into free points, he can pressure Tiafoe and make this a tighter contest.

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