Iasi Iasi, ROU Clay Wta 250 Quarterfinals

Yulia Putintseva vs Mayar Sherif: AI Prediction | Games, Spread, Aces & Double Faults

Yulia Putintseva

Rank: #84
60%
VS

Mayar Sherif

Rank: #109
40%
Expected Total Games: 23.6
Predicted Winner: Yulia Putintseva

Why the Model Favors Yulia Putintseva

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

Recent record by level +13.3 Yulia Putintseva
Overall strength +2.8 Yulia Putintseva
Age +2.5 Mayar Sherif
Surface fit +2.4 Mayar Sherif
Recent form +2.3 Mayar Sherif

Starting from an even matchup, these factors move the model to 60% for Yulia Putintseva. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Yulia Putintseva

Form Index: 30.3
ELO Rating: 1644.9
Glicko2 Rating: 1718.1
Current Fatigue (minutes): 220.0
Surface Strength:
Hard: 35.2
Clay: 21.3
Grass: 7.2
Serve Rating: 95.7
Return Rating: 91.8

Mayar Sherif

Form Index: 27.7
ELO Rating: 1580.6
Glicko2 Rating: 1630.5
Current Fatigue (minutes): 194.0
Surface Strength:
Hard: 9.5
Clay: 12.6
Grass: 12.3
Serve Rating: 95.2
Return Rating: 82.3

Recent Matches

Yulia Putintseva

  • Last Match: vs Alina Charaeva (2-0) clay Iasi 93 min
  • 2nd Last Match: vs Claire Liu (2-0) clay Iasi 127 min
  • 3rd Last Match: vs Tatjana Maria (0-2) grass Wimbledon 120 min
  • 4th Last Match: vs Alicia Dudeney (0-2) grass Nottingham 67 min
  • 5th Last Match: vs Camila Osorio (1-2) clay Roland Garros 120 min

Mayar Sherif

  • Last Match: vs Kaitlin Quevedo (2-0) clay Iasi 119 min
  • 2nd Last Match: vs Dalma Galfi (2-0) clay Iasi 75 min
  • 3rd Last Match: vs Tamara Korpatsch (1-2) clay Rome 210 min
  • 4th Last Match: vs Anna Blinkova (2-0) clay Rome 81 min
  • 5th Last Match: vs Yue Yuan (1-2) clay Charleston 193 min

Head-to-Head (Last 2 Seasons)

0
Yulia Putintseva
vs
0
Mayar Sherif
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Iasi, Romania — a clay-court 250-level event — pits Yulia Putintseva against Mayar Sherif in what should be a physically taxing encounter. The model favors Putintseva to win (60.0% vs 40.0%) and projects a relatively short match in games, with an expected total of about 23.6 games.

Match Analysis

The model’s edge for Putintseva comes mainly from her recent record by level (a 13.3-point advantage) and overall strength (a further 2.8 points). Putintseva carries a higher Elo (1644.9 vs 1580.6) and a superior form index (30.31 vs 27.70), and she has recorded two straight wins in Iasi — a 127-minute and a 93-minute victory — suggesting comfort in tournament conditions and the ability to grind through longer matches. Those recent on-site wins are the strongest single driver in the prediction. That said, the explainability engine nudges toward Sherif on age (2.5 points), surface fit (2.4 points), and recent form (2.3 points). Sherif has also won her two matches in Iasi (119 and 75 minutes) and arrived here off a very long clay match in Rome (210 minutes), indicating clay-specific match experience despite a lower surface strength index (12.64 vs Putintseva’s 21.27). Fatigue is a factor: Putintseva has logged 220 minutes in the event versus Sherif’s 194, which could matter late in rallies. The serving indices are similar (95.66 vs 95.22), but Putintseva’s mean return index is markedly better (91.84 vs 82.31), a gap that underpins her ability to pressure Sherif’s service games. Both players: two wins at Iasi in their last three matches; Putintseva’s lone recent loss came on grass at Wimbledon, Sherif’s on clay in a long Rome encounter.

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 Yulia Putintseva versus Mayar Sherif. 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 Yulia Putintseva versus Mayar Sherif. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Yulia Putintseva - Mayar Sherif) +1.3 Most likely spread: +1 (Yulia Putintseva wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Yulia Putintseva versus Mayar Sherif. Positive values indicate Yulia Putintseva winning more games, negative values indicate Mayar Sherif winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Yulia Putintseva versus Mayar Sherif. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: low — the model’s predicted aces total is 2.13 for the match. Expected double faults: 4.43. On clay, aces tend to be suppressed and double faults can rise with longer rallies and growing fatigue. With similar serve indices and no large serving gap, neither player is likely to produce a high ace count, reinforcing the low aces prediction and modest expected double faults.
🎯
Expected Total Aces 2.1 Most likely: 2 aces
Expected Total Double Faults 4.4 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Yulia Putintseva versus Mayar Sherif. 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 Yulia Putintseva versus Mayar Sherif. 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 Yulia Putintseva versus Mayar Sherif. 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 Yulia Putintseva versus Mayar Sherif. The curve shows the cumulative probability for each double faults threshold.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

20.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Yulia Putintseva's perspective)

2-0 Most likely set score (47.9%)
Probability distribution of the final set score from Yulia Putintseva's perspective. Format: BO3.

Final Prediction

Putintseva’s advantage is driven chiefly by her recent record at this level and a superior Elo and return profile. Watch her return and stamina late in rallies — those elements are likely to decide whether she converts the model’s projected edge into a quarterfinal win.

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