Indian Wells CA, U.S.A. Hard Masters 1000 Round of 16

Learner Tien vs Alejandro Davidovich Fokina: AI Prediction | Games, Spread, Aces & Double Faults

Learner Tien

Rank: #27
49%
VS
Expected Total Games: 24.2
Predicted Winner: Alejandro Davidovich Fokina

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Player Metrics

Learner Tien

Form Index: 52.2
ELO Rating: 1676.1
Glicko2 Rating: 1600.1
Current Fatigue (minutes): 233.0
Surface Strength:
Hard: 12.8
Clay: 10.5
Grass: 11.5
Serve Rating: 67.2
Return Rating: 57.6

Alejandro Davidovich Fokina

Form Index: 59.2
ELO Rating: 2056.9
Glicko2 Rating: 1595.5
Current Fatigue (minutes): 204.0
Surface Strength:
Hard: 13.6
Clay: 20.7
Grass: 22.5
Serve Rating: 97.2
Return Rating: 90.0

Recent Matches

Learner Tien

  • Last Match: vs Ben Shelton (2-1) hard Indian Wells 129 min
  • 2nd Last Match: vs Adam Walton (2-0) hard Indian Wells 104 min
  • 3rd Last Match: vs Tommy Paul (1-2) hard Delray Beach 134 min
  • 4th Last Match: vs Frances Tiafoe (2-1) hard Delray Beach 139 min
  • 5th Last Match: vs Miomir Kecmanovic (2-1) hard Delray Beach 135 min

Alejandro Davidovich Fokina

Head-to-Head (Last 2 Seasons)

0
Learner Tien
vs
1
Alejandro Davidovich Fokina
Hard
0 - 1
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells in California, the Round of 16 on hard courts sets up a tight battle between Learner Tien and Alejandro Davidovich Fokina in this Masters 1000 event. The model narrowly favors Alejandro Davidovich Fokina to advance (50.59%) over Learner Tien (49.41%), with a predicted total of about 24.24 games in the match.

Match Analysis

Tien arrives ranked 27 with an Elo of 1676.1 and a form index of 52.24. He has accumulated 233 minutes on court in the tournament, showing heavier recent workload than his opponent, and posts a surface strength index of 12.80. Davidovich Fokina is ranked 19, carries a higher Elo (2056.9) and a stronger form index at 59.25, with 204 minutes of tournament court time and a surface strength index of 13.57. The serving profiles are markedly different: Davidovich Fokina’s mean serve index (97.21) outstrips Tien’s (67.15) by roughly 30 points, and his mean return index (89.99) also exceeds Tien’s (57.63) by a similar margin — both sizable gaps that will shape the match. Looking at recent form, Tien has won two straight matches at Indian Wells (beat Adam Walton and Ben Shelton) after a loss to Tommy Paul in Delray Beach, showing resilience in longer matches (129 and 104 minutes). Davidovich Fokina is also unbeaten here, posting wins over Jakub Mensik and Zachary Svajda after an earlier loss in Acapulco; his matches have been a mix of an efficient straight-sets win and a longer three-setter. Both have momentum, but the differing service and return metrics suggest distinct tactical approaches.

Total Games Predictions

🎾
Expected Total Games in Match 24.2 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Learner Tien versus Alejandro Davidovich Fokina. 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 Learner Tien versus Alejandro Davidovich Fokina. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Learner Tien - Alejandro Davidovich Fokina) -2.1 Most likely spread: -3 (Alejandro Davidovich Fokina wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Learner Tien versus Alejandro Davidovich Fokina. Positive values indicate Learner Tien winning more games, negative values indicate Alejandro Davidovich Fokina winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Learner Tien versus Alejandro Davidovich Fokina. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is about 10.57 total, and the predicted aces are likely to be skewed toward Davidovich Fokina given his far higher serve index. The expected double faults are 4.47 for the match. On a medium-paced hard court, aces are moderate compared with grass, and the surface should allow a powerful server like Davidovich Fokina to generate more free points, while consistent return play from either man could limit runaway serve stats.
🎯
Expected Total Aces 10.6 Most likely: 10 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Learner Tien versus Alejandro Davidovich Fokina. 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 Learner Tien versus Alejandro Davidovich Fokina. 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 Learner Tien versus Alejandro Davidovich Fokina. 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 Learner Tien versus Alejandro Davidovich Fokina. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Davidovich Fokina’s edge comes down to a markedly superior serve and return profile combined with a higher Elo and form reading. The key factor to watch is whether Tien can neutralize that serve with aggressive, early returns — if he does, the match could swing his way despite the narrow prediction gap.

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