Hamburg Hamburg, GER Clay Wta 250 Quarterfinals

Nadia Podoroska vs Julia Stusek: AI Prediction | Games, Spread, Aces & Double Faults

Nadia Podoroska

Rank: #1000
55%
VS

Julia Stusek

Rank: #435
45%
Expected Total Games: 24.8
Predicted Winner: Nadia Podoroska

Why the Model Favors Nadia Podoroska

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

Overall record & opposition quality +7.2 Nadia Podoroska
Recent form +6.0 Julia Stusek
Overall strength +4.0 Nadia Podoroska
Surface fit +1.8 Nadia Podoroska
Age +1.3 Julia Stusek

Starting from an even matchup, these factors move the model to 55% for Nadia Podoroska. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Nadia Podoroska

Form Index: 22.4
ELO Rating: 1483.4
Glicko2 Rating: 1376.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 9.7
Clay: 8.4
Grass: 2.8
Serve Rating: 90.9
Return Rating: 81.7

Julia Stusek

Form Index: 30.1
ELO Rating: 1486.9
Glicko2 Rating: 1396.1
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 11.7
Clay: 8.0
Grass: 6.0
Serve Rating: 93.5
Return Rating: 77.7

Recent Matches

Nadia Podoroska

  • Last Match: vs Petra Marcinko (1-2) clay Iasi 134 min
  • 2nd Last Match: vs Marta Kostyuk (0-2) grass Wimbledon 120 min
  • 3rd Last Match: vs Karolina Muchova (0-2) hard Australian Open 61 min
  • 4th Last Match: vs None (0-0) None None 0 min
  • 5th Last Match: vs None (0-0) None None 0 min

Julia Stusek

  • Last Match: vs Aliaksandra Sasnovich (0-2) clay Stuttgart 79 min
  • 2nd Last Match: vs None (0-0) None None 0 min
  • 3rd Last Match: vs None (0-0) None None 0 min
  • 4th Last Match: vs None (0-0) None None 0 min
  • 5th Last Match: vs None (0-0) None None 0 min

Head-to-Head (Last 2 Seasons)

0
Nadia Podoroska
vs
0
Julia Stusek
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Quarterfinals in Hamburg on clay at a WTA 250 event sets up a testing, grind-heavy encounter between Nadia Podoroska and Julia Stusek. The model gives Podoroska the narrow edge — 55.47% to win versus 44.53% for Stusek — with a predicted total of about 24.8 games in the match.

Match Analysis

The model’s edge for Podoroska stems primarily from overall record and opposition quality (a 7.2 percentage-point lift), supported by overall strength (+4.0) and a slight surface fit advantage (+1.8). Podoroska’s profile shows an Elo of 1483.4, a form index of 22.40 and a surface strength index of 8.40; she also brings a strong mean return index (81.73) and a mean serve index of 90.95. Stusek, who nudges in the model on recent form (a 6.0 point swing) and a small age advantage for herself (1.3), carries an Elo of 1486.9, a higher form index (30.15) and a surface strength index of 8.04. Both players report zero cumulative fatigue from this event. Serve and return profiles are broadly comparable: Podoroska’s mean return is a touch better while Stusek’s serve index is slightly higher, but differences do not exceed five points. Recent match lines show Podoroska arriving after three straight losses (Iasi, Wimbledon, Australian Open) with the Iasi match stretching 134 minutes and going three sets; Stusek’s documented recent result is a straight-sets loss in Stuttgart, with limited other match data available. That combination — Podoroska’s historical opposition-quality edge versus Stusek’s fresher form metric — explains the slim margin.

Total Games Predictions

🎾
Expected Total Games in Match 24.8 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Nadia Podoroska versus Julia Stusek. 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 Nadia Podoroska versus Julia Stusek. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Nadia Podoroska - Julia Stusek) -0.6 Most likely spread: -1 (Julia Stusek wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Nadia Podoroska versus Julia Stusek. Positive values indicate Nadia Podoroska winning more games, negative values indicate Julia Stusek winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Nadia Podoroska versus Julia Stusek. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is modest: a predicted aces total of about 3.93 for the match, while the expected double faults sit at 7.22. On clay, the slower surface tends to suppress aces and can elevate expected double faults, particularly in longer rallies and late-match fatigue. Stusek’s slightly higher serve rating may lift the ace count a little, but the clay court limits that upside.
🎯
Expected Total Aces 3.9 Most likely: 3 aces
Expected Total Double Faults 7.2 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Nadia Podoroska versus Julia Stusek. 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 Nadia Podoroska versus Julia Stusek. 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 Nadia Podoroska versus Julia Stusek. 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 Nadia Podoroska versus Julia Stusek. 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

22.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Nadia Podoroska's perspective)

2-0 Most likely set score (34.1%)
Probability distribution of the final set score from Nadia Podoroska's perspective. Format: BO3.

Final Prediction

Podoroska’s advantage is driven chiefly by the model’s assessment of her overall record and opposition quality. Watch the return game and early service holds — whoever breaks first on clay will likely dictate court position and tilt this tight quarterfinal.

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