Us Open NY, U.S.A. Hard Grand Slam Round of 128

Otto Virtanen vs Andrey Rublev: AI Prediction | Games, Spread, Aces & Double Faults

Otto Virtanen

Rank: #108
18%
VS

Andrey Rublev

Rank: #24
82%
Expected Total Games: 38.0
Predicted Winner: Andrey Rublev

Why the Model Favors Andrey Rublev

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

Recent record by level +8.1 Andrey Rublev
Recent form +7.9 Andrey Rublev
Overall strength +4.9 Andrey Rublev
Surface fit +2.9 Andrey Rublev
Overall record & opposition quality +1.9 Andrey Rublev

Starting from an even matchup, these factors move the model to 82% for Andrey Rublev. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Otto Virtanen

Form Index: 73.6
ELO Rating: 1652.1
Glicko2 Rating: 1630.0
Current Fatigue (minutes): 348.0
Surface Strength:
Hard: 18.2
Clay: 11.1
Grass: 20.2
Serve Rating: 95.8
Return Rating: 88.8

Andrey Rublev

Form Index: 34.0
ELO Rating: 1732.7
Glicko2 Rating: 1814.6
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 27.5
Clay: 37.2
Grass: 22.9
Serve Rating: 96.2
Return Rating: 87.8

Recent Matches

Otto Virtanen

  • Last Match: vs Jack Pinnington Jones (2-1) hard Us Open 174 min
  • 2nd Last Match: vs Ugo Blanchet (2-0) hard Us Open 174 min
  • 3rd Last Match: vs Coleman Wong (0-2) hard Cincinnati 109 min
  • 4th Last Match: vs Vignesh Gogineni (2-0) hard Cincinnati 63 min
  • 5th Last Match: vs Dylan Dietrich (0-2) clay Gstaad 87 min

Andrey Rublev

Head-to-Head (Last 2 Seasons)

0
Otto Virtanen
vs
0
Andrey Rublev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the 2026 US Open in New York, round of 128 on hard courts, Andrey Rublev is the clear model favorite over Otto Virtanen. The prediction gives Rublev an 81.72 percent chance of winning versus 18.28 percent for Virtanen. The model expects about 38.03 total games in the match.

Match Analysis

The model's edge for Rublev comes mainly from recent record by level and recent form, with secondary contributions from overall strength and surface fit. Recent record by level favors Rublev by 8.1 percentage points. That reflects Rublev's higher standing against stronger opponents, as shown by his superior ranking and Elo. Rublev is ranked 24 with an Elo of 1732.69. Virtanen is ranked 108 with an Elo of 1652.08. These gaps feed the overall strength advantage, which adds 4.9 points toward Rublev. Surface fit also leans to Rublev by 2.9 points. Rublev's surface strength index is 27.54 versus Virtanen's 18.24, indicating Rublev is a better hard court profile in the model. Fatigue is another practical edge for Rublev. Virtanen arrives with 348 minutes played in the current tournament, while Rublev has 0 minutes logged here. Mean serve and return indexes are very close, so expect service battles to be decided by execution rather than raw ratings. Over the last three matches, Virtanen has two recent wins at the US Open and a loss in Cincinnati. His recent matches included two long 174 minute affairs. Rublev has one recent win in Cincinnati and losses to Nuno Borges and Juncheng Shang. Those mixed results still carry more weight in the model because of opponent quality and historical strength.

Total Games Predictions

🎾
Expected Total Games in Match 38.0 Most likely outcome: 36 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Otto Virtanen versus Andrey Rublev. 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 Otto Virtanen versus Andrey Rublev. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Otto Virtanen - Andrey Rublev) -4.5 Most likely spread: -5 (Andrey Rublev wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Otto Virtanen versus Andrey Rublev. Positive values indicate Otto Virtanen winning more games, negative values indicate Andrey Rublev winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Otto Virtanen versus Andrey Rublev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this hard court match is 19.12 total, with predicted aces of 9.49 for Virtanen and 9.94 for Rublev. The expected double faults are 10.05 in total, split as 5.43 for Virtanen and 4.62 for Rublev. Hard courts generally produce a balanced number of aces compared with grass or clay. There is no significant serve rating gap between the players, and the per player ace projections reflect that near parity.
🎯
Expected Total Aces 19.1 Most likely: 17 aces Per player: Otto Virtanen 9.5 + Andrey Rublev 9.9
Expected Total Double Faults 10.1 Most likely: 9 double faults Per player: Otto Virtanen 5.4 + Andrey Rublev 4.6

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Otto Virtanen versus Andrey Rublev. 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 Otto Virtanen versus Andrey Rublev. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Otto Virtanen

Expected 9.5 aces

Probability distribution for the aces Otto Virtanen serves in this match.
Andrey Rublev

Expected 9.9 aces

Probability distribution for the aces Andrey Rublev serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Otto Virtanen versus Andrey Rublev. 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 Otto Virtanen versus Andrey Rublev. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Otto Virtanen

Expected 5.4 double faults

Probability distribution for the double faults Otto Virtanen serves in this match.
Andrey Rublev

Expected 4.6 double faults

Probability distribution for the double faults Andrey Rublev serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

54.3% Predicted: Tiebreak likely

Exact Score Distribution BO5

Probability of each set-by-set outcome (Otto Virtanen's perspective)

0-3 Most likely set score (44.3%)
Probability distribution of the final set score from Otto Virtanen's perspective. Format: BO5.

Final Prediction

Rublev’s edge is rooted in recent record by level, supported by a higher rank and Elo and a better surface fit. Watch Virtanen’s fitness and energy late in sets, since his heavy minutes so far could be the decisive factor if rallies and sets extend.

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