Hamburg Hamburg, GER Clay Wta 250 Quarterfinals

Mayar Sherif vs Paula Badosa: AI Prediction | Games, Spread, Aces & Double Faults

Mayar Sherif

Rank: #73
44%
VS

Paula Badosa

Rank: #93
56%
Expected Total Games: 22.8
Predicted Winner: Paula Badosa

Why the Model Favors Paula Badosa

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

Recent record by level +9.2 Paula Badosa
Recent form +4.2 Mayar Sherif
Overall strength +2.3 Paula Badosa
Overall record & opposition quality +1.3 Paula Badosa
Fatigue & recent workload +0.9 Mayar Sherif

Starting from an even matchup, these factors move the model to 56% for Paula Badosa. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Mayar Sherif

Form Index: 46.6
ELO Rating: 1649.5
Glicko2 Rating: 1768.3
Current Fatigue (minutes): 290.0
Surface Strength:
Hard: 9.5
Clay: 20.5
Grass: 12.3
Serve Rating: 96.2
Return Rating: 88.7

Paula Badosa

Form Index: 45.4
ELO Rating: 1684.6
Glicko2 Rating: 1721.1
Current Fatigue (minutes): 183.0
Surface Strength:
Hard: 35.8
Clay: 28.4
Grass: 21.0
Serve Rating: 95.2
Return Rating: 86.0

Recent Matches

Mayar Sherif

Paula Badosa

  • Last Match: vs Panna Udvardy (2-0) clay Hamburg 74 min
  • 2nd Last Match: vs Katarzyna Kawa (2-0) clay Hamburg 109 min
  • 3rd Last Match: vs Tamara Zidansek (2-1) clay Iasi 156 min
  • 4th Last Match: vs Panna Udvardy (2-0) clay Iasi 120 min
  • 5th Last Match: vs Alevtina Ibragimova (2-1) clay Iasi 168 min

Head-to-Head (Last 2 Seasons)

0
Mayar Sherif
vs
0
Paula Badosa
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Hamburg on clay—a slow, high-bounce surface—sets up Mayar Sherif against Paula Badosa in a 250-level event. The model favors Paula Badosa to win (56.05%) over Mayar Sherif (43.95%), with a predicted total of about 22.8 games in the match.

Match Analysis

The model’s edge for Badosa is driven primarily by her recent record by level (a 9.2 percentage-point boost) and her slightly higher overall strength and opposition-quality metrics. Badosa’s Elo sits at 1684.6 versus Sherif’s 1649.5, and her surface strength index (28.44) is noticeably higher than Sherif’s (20.54), supporting the model’s lean on clay. Those items, together with a small contribution from overall record & opposition quality (+1.3 points), tilt the balance toward Badosa. Sherif brings a marginally stronger form index (46.61 vs 45.41) and her recent form contributed +4.2 points toward her probability; she also has a higher cumulative minutes-on-court figure (290 min) versus Badosa’s 183, a workload factor the model nonetheless nudged +0.9 points in Sherif’s favor. Serve and return profiles are comparable — mean serve indexes 96.25 (Sherif) and 95.18 (Badosa), and return indexes 88.73 and 86.04 — so no large matchup swing from serving metrics. Over the last three matches each, both players are unbeaten: Sherif won in Hamburg (Jacquemot, Waltert) and earlier in Iasi, while Badosa recorded straight-set wins in Hamburg (Udvardy, Kawa) and a win in Iasi (Zidansek).

Total Games Predictions

🎾
Expected Total Games in Match 22.8 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Mayar Sherif versus Paula Badosa. 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 Mayar Sherif versus Paula Badosa. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Mayar Sherif - Paula Badosa) -1.6 Most likely spread: -2 (Paula Badosa wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction is low: the match’s predicted aces are 3.64, reflecting clay’s tendency to suppress free points; this is the expected aces figure for the match. Double faults prediction is higher than aces — expected double faults at 6.32 — consistent with longer rallies and fatigue on clay. Neither player posts a significantly higher serve rating, so predicted aces should remain modest.
🎯
Expected Total Aces 3.6 Most likely: 3 aces
Expected Total Double Faults 6.3 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mayar Sherif versus Paula Badosa. 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 Mayar Sherif versus Paula Badosa. 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 Mayar Sherif versus Paula Badosa. 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 Mayar Sherif versus Paula Badosa. 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

32.4% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Mayar Sherif's perspective)

0-2 Most likely set score (45.5%)
Probability distribution of the final set score from Mayar Sherif's perspective. Format: BO3.

Final Prediction

Badosa’s recent record by level and slightly superior Elo/surface profile are the chief reasons she is favored. Watch the physical battle and fatigue accumulation—given Sherif’s heavier minutes this week, serve reliability and late-match double faults could be the decisive factor.

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