Us Open NY, U.S.A. Hard Grand Slam Round of 64

Alexei Popyrin vs Alejandro Tabilo: AI Prediction | Games, Spread, Aces & Double Faults

Alexei Popyrin

Rank: #130
38%
VS

Alejandro Tabilo

Rank: #28
62%
Expected Total Games: 39.2
Predicted Winner: Alejandro Tabilo

Why the Model Favors Alejandro Tabilo

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

Recent record by level +5.2 Alejandro Tabilo
Overall record & opposition quality +4.7 Alejandro Tabilo
Recent form +3.8 Alejandro Tabilo
Serve & return game +3.2 Alexei Popyrin
Overall strength +2.3 Alejandro Tabilo

Starting from an even matchup, these factors move the model to 62% for Alejandro Tabilo. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Alexei Popyrin

Form Index: 50.3
ELO Rating: 1640.8
Glicko2 Rating: 1647.9
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 19.8
Clay: 24.7
Grass: 4.3
Serve Rating: 97.0
Return Rating: 84.7

Alejandro Tabilo

Form Index: 47.5
ELO Rating: 1705.9
Glicko2 Rating: 1733.5
Current Fatigue (minutes): 174.0
Surface Strength:
Hard: 29.6
Clay: 20.7
Grass: 6.1
Serve Rating: 96.3
Return Rating: 86.3

Recent Matches

Alexei Popyrin

Alejandro Tabilo

Head-to-Head (Last 2 Seasons)

1
Alexei Popyrin
vs
0
Alejandro Tabilo
Hard
0 - 0
Clay
1 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, Round of 64 on hard courts, Alejandro Tabilo is the model favorite over Alexei Popyrin. The prediction gives Tabilo a 62.05% chance to win versus 37.95% for Popyrin. The match is projected to contain about 39.17 games in total.

Match Analysis

The model’s edge for Tabilo comes mainly from his recent record at this level and his overall record and opposition quality. Those factors contribute roughly 5.2 and 4.7 percentage points respectively toward Tabilo. His higher Elo and ranking underline that advantage. Tabilo sits at world No. 28 with an Elo of 1705.9 and a surface strength index of 29.62. Popyrin is ranked 130 with an Elo of 1640.8 and a surface strength index of 19.76. Both players show identical tournament fatigue at 174 minutes on court. Recent form is also cited by the model, adding about 3.8 points toward Tabilo. Looking at the last three matches, Popyrin is 1-2 with a notable win over Grigor Dimitrov at the US Open followed by earlier losses in Toronto and Cincinnati. Tabilo is 2-1 over his last three, including the US Open victory over Yannick Hanfmann and a win over Jan-Lennard Struff in Cincinnati. The model gives a small counterweight toward Popyrin based on serve and return metrics, contributing 3.2 points in his favor. Mean serve indices are close: Popyrin 96.95, Tabilo 96.27. Mean return indices are also near each other, with Popyrin at 84.66 and Tabilo at 86.33.

Total Games Predictions

🎾
Expected Total Games in Match 39.2 Most likely outcome: 37 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alexei Popyrin versus Alejandro Tabilo. 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 Alexei Popyrin versus Alejandro Tabilo. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alexei Popyrin - Alejandro Tabilo) -0.8 Most likely spread: -1 (Alejandro Tabilo wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alexei Popyrin versus Alejandro Tabilo. Positive values indicate Alexei Popyrin winning more games, negative values indicate Alejandro Tabilo winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alexei Popyrin versus Alejandro Tabilo. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard court match is 19.34 total, with predicted aces of 10.67 for Popyrin and 9.01 for Tabilo. Hard courts usually produce a moderate number of aces, which matches this projected total. The double faults prediction totals 7.08, split as an expected 3.74 for Popyrin and 3.34 for Tabilo. Because serve ratings are very similar, the per player ace projections reflect only a small serving gap.
🎯
Expected Total Aces 19.3 Most likely: 17 aces Per player: Alexei Popyrin 10.7 + Alejandro Tabilo 9.0
Expected Total Double Faults 7.1 Most likely: 6 double faults Per player: Alexei Popyrin 3.7 + Alejandro Tabilo 3.3

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alexei Popyrin versus Alejandro Tabilo. 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 Alexei Popyrin versus Alejandro Tabilo. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Alexei Popyrin

Expected 10.7 aces

Probability distribution for the aces Alexei Popyrin serves in this match.
Alejandro Tabilo

Expected 9.0 aces

Probability distribution for the aces Alejandro Tabilo serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Alexei Popyrin versus Alejandro Tabilo. 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 Alexei Popyrin versus Alejandro Tabilo. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Alexei Popyrin

Expected 3.7 double faults

Probability distribution for the double faults Alexei Popyrin serves in this match.
Alejandro Tabilo

Expected 3.3 double faults

Probability distribution for the double faults Alejandro Tabilo serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

57.8% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Alexei Popyrin's perspective)

3-0 Most likely set score (19.9%)
Probability distribution of the final set score from Alexei Popyrin's perspective. Format: BO5.

Final Prediction

Tabilo’s edge stems chiefly from his recent results at this tournament level and stronger overall record, as reflected in his ranking and Elo. Watch how Popyrin’s serve and return performance plays out, since the model gives him a modest advantage there that could tilt tight games.

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