Dubai U.A.E. Hard Atp 500 Semifinals

Andrey Rublev vs Tallon Griekspoor: AI Prediction | Games, Spread, Aces & Double Faults

Andrey Rublev

Rank: #18
65%
VS

Tallon Griekspoor

Rank: #25
35%
Expected Total Games: 24.0
Predicted Winner: Andrey Rublev

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Player Metrics

Andrey Rublev

Form Index: 63.8
ELO Rating: 2402.0
Glicko2 Rating: 1860.0
Current Fatigue (minutes): 307.0
Surface Strength:
Hard: 12.6
Clay: 18.8
Grass: 20.0
Serve Rating: 76.3
Return Rating: 55.6

Tallon Griekspoor

Form Index: 70.3
ELO Rating: 1540.4
Glicko2 Rating: 1639.1
Current Fatigue (minutes): 257.0
Surface Strength:
Hard: 11.9
Clay: 12.8
Grass: 13.8
Serve Rating: 99.1
Return Rating: 88.9

Recent Matches

Andrey Rublev

Tallon Griekspoor

Head-to-Head (Last 2 Seasons)

0
Andrey Rublev
vs
0
Tallon Griekspoor
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Semifinal night in Dubai on the hard courts of the U.A.E. brings Andrey Rublev up against Tallon Griekspoor in a 500-level event with a place in the final at stake. The model favors Rublev as the projected winner (65.47% chance) over Griekspoor (34.53%), with an expected total of about 24.04 games in the match.

Match Analysis

Rublev enters as the higher-ranked player (No. 18) with an Elo rating of 2402.03 and a form index of 63.83; he has accumulated 307 minutes on court in Dubai. His surface strength index is 12.55 and his mean serve index sits at 76.26 with a mean return index of 55.65. Griekspoor, ranked 25, arrives with a stronger recent form index (70.28) but a much lower Elo at 1540.42 and slightly less tournament fatigue (257 minutes). His surface strength index is comparable (11.91). Crucially, Griekspoor posts a markedly higher mean serve index (99.14) — a gap well over five points — and also a substantially higher mean return index (88.89), another difference exceeding five points, setting up an intriguing serving/return dynamic. Both players have won their three matches in Dubai. Rublev’s path includes a grind to Ugo Humbert (143 minutes) plus straighter wins in earlier rounds, showing he’s been tested but consistent. Griekspoor has dispatched his opponents in two straight sets and a competitive three-set win over Jakub Mensik, combining effective serving and returns across those matches. The contrast between Rublev’s superior Elo and Griekspoor’s hotter form and extreme serve/return indices frames the tactical battle.

Total Games Predictions

🎾
Expected Total Games in Match 24.0 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Andrey Rublev - Tallon Griekspoor) -0.6 Most likely spread: -1 (Tallon Griekspoor wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is modestly elevated with predicted aces around 10.06, while the expected double faults tally sits at about 5.63. On Dubai’s medium-paced hard courts, this level of serving production is consistent—hard courts generate a fair number of aces but not as many as the fastest surfaces. Given Griekspoor’s significantly higher serve index, he is likely to contribute a disproportionate share of the predicted aces, which could be decisive on tight service games.
🎯
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 Andrey Rublev versus Tallon Griekspoor. 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 Andrey Rublev versus Tallon Griekspoor. 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 Andrey Rublev versus Tallon Griekspoor. 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 Andrey Rublev versus Tallon Griekspoor. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Rublev’s edge in the model comes from a higher Elo and steady results through a tougher-looking draw, while Griekspoor’s elite serve/return metrics present the chief threat. The key factor to watch is the serve-versus-return matchup: if Griekspoor’s serving rentiers turn up, he can shorten points; if Rublev neutralizes that power with consistent returning and holds his own serve, he’s the favorite to reach the final.

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