Doha Qatar Hard Atp 500 Quarterfinals

Stefanos Tsitsipas vs Andrey Rublev: AI Prediction | Games, Spread, Aces & Double Faults

Stefanos Tsitsipas

Rank: #32
42%
VS

Andrey Rublev

Rank: #15
58%
Expected Total Games: 23.6
Predicted Winner: Andrey Rublev

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Player Metrics

Stefanos Tsitsipas

Form Index: 49.2
ELO Rating: 1392.9
Glicko2 Rating: 1815.2
Current Fatigue (minutes): 160.0
Surface Strength:
Hard: 8.5
Clay: 9.8
Grass: 10.6
Serve Rating: 75.2
Return Rating: 35.8

Andrey Rublev

Form Index: 73.6
ELO Rating: 2400.9
Glicko2 Rating: 1851.1
Current Fatigue (minutes): 145.0
Surface Strength:
Hard: 14.6
Clay: 20.3
Grass: 20.7
Serve Rating: 97.7
Return Rating: 90.2

Recent Matches

Stefanos Tsitsipas

  • Last Match: vs Daniil Medvedev (2-0) hard Doha 76 min
  • 2nd Last Match: vs Moez Echargui (2-0) hard Doha 84 min
  • 3rd Last Match: vs Botic van de Zandschulp (0-2) hard Rotterdam 109 min
  • 4th Last Match: vs Arthur Rinderknech (2-0) hard Rotterdam 81 min
  • 5th Last Match: vs Tomas Machac (1-3) hard Australian Open 174 min

Andrey Rublev

  • Last Match: vs Fabian Marozsan (2-0) hard Doha 67 min
  • 2nd Last Match: vs Jesper de Jong (2-0) hard Doha 78 min
  • 3rd Last Match: vs Francisco Cerundolo (0-3) hard Australian Open 174 min
  • 4th Last Match: vs Jaime Faria (3-1) hard Australian Open 174 min
  • 5th Last Match: vs Matteo Arnaldi (3-0) hard Australian Open 174 min

Head-to-Head (Last 2 Seasons)

0
Stefanos Tsitsipas
vs
0
Andrey Rublev
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Doha, Qatar — quarterfinal on outdoor hard courts at an atp_500 event sees Stefanos Tsitsipas face Andrey Rublev. The model favors Rublev to win (58.37%) over Tsitsipas (41.63%), with an expected total of about 23.59 games in the match.

Match Analysis

Rublev enters with a clear edge in form and ratings: he is ranked 15 with an Elo of 2400.91 and a form index of 73.59, while Tsitsipas is ranked 32 with an Elo of 1392.85 and a form index of 49.23. Fatigue is similar but slightly higher for Tsitsipas (160 minutes vs Rublev’s 145 minutes), and Rublev also posts a higher surface strength index (14.55 vs 8.54). The disparity in serve and return metrics is notable: Rublev’s mean serve index (97.71) exceeds Tsitsipas’s (75.17) by more than 20 points, and his mean return index (90.18) is far above Tsitsipas’s (35.75), both differences well over the 5-point threshold. Over the last three matches both players have two wins and one loss in the sample provided. Tsitsipas won his past two Doha matches — defeating Daniil Medvedev and Moez Echargui — after a prior loss in Rotterdam; his recent match times ranged 76–84 minutes. Rublev is coming off straight-set wins in Doha over Fabian Marozsan and Jesper de Jong, with a longer recent loss at the Australian Open to Francisco Cerundolo (174 minutes). These results underline Rublev’s stronger short-term form at this event.

Total Games Predictions

🎾
Expected Total Games in Match 23.6 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Stefanos Tsitsipas 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 Stefanos Tsitsipas 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 (Stefanos Tsitsipas - Andrey Rublev) -0.6 Most likely spread: -1 (Andrey Rublev wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Stefanos Tsitsipas versus Andrey Rublev. Positive values indicate Stefanos Tsitsipas 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 Stefanos Tsitsipas versus Andrey Rublev. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is about 10.06 total, while the predicted double faults sit near 5.63. On a medium-paced hard court, these expected aces and expected double faults reflect balanced serving conditions — not as many aces as grass but more than clay. Given Rublev’s significantly higher mean serve index, he is likely to account for a larger share of the predicted aces.
🎯
Expected Total Aces 10.1 Most likely: 10 aces
Expected Total Double Faults 5.6 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Stefanos Tsitsipas 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 Stefanos Tsitsipas versus Andrey Rublev. 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 Stefanos Tsitsipas versus Andrey Rublev. 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 Stefanos Tsitsipas versus Andrey Rublev. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Rublev’s superior Elo, higher form index and dominant serve/return metrics give him the modeled edge in Doha. Key factor to watch: Rublev’s serving and returning intensity — if he sustains it, the match should tilt in his favor.

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