Wuhan Wuhan, CHN Hard Wta 1000 Quarterfinals

Elina Svitolina vs Hanyu Guo Prediction

Elina Svitolina

Rank: #6
87%
VS

Hanyu Guo

Rank: #240
13%
Expected Total Games: 21.9
Predicted Winner: Elina Svitolina

Why the Model Favors Elina Svitolina

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

Overall strength +10.3 Elina Svitolina
Overall record & opposition quality +8.8 Elina Svitolina
Recent form +7.3 Elina Svitolina
Surface fit +5.3 Elina Svitolina
Serve & return game +2.5 Elina Svitolina

Starting from an even matchup, these factors move the model to 87% for Elina Svitolina. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Elina Svitolina

Form Index: 49.8
ELO Rating: 1948.9
Glicko2 Rating: 2038.4
Current Fatigue (minutes): 131.0
Surface Strength:
Hard: 62.3
Clay: 62.9
Grass: 29.1
Serve Rating: 96.4
Return Rating: 92.1

Hanyu Guo

Form Index: 41.1
ELO Rating: 1605.1
Glicko2 Rating: 1627.6
Current Fatigue (minutes): 345.0
Surface Strength:
Hard: 26.7
Clay: 9.8
Grass: 10.8
Serve Rating: 94.6
Return Rating: 86.8

Recent Matches

Elina Svitolina
✅ ❌ ✅ ✅ ✅

Hanyu Guo
✅ ✅ ❌ ❌ ✅

Head-to-Head (Last 2 Seasons)

0
Elina Svitolina
vs
0
Hanyu Guo
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Svitolina is a strong favourite in the Wuhan Quarterfinals, with an 87% chance of winning to Guo’s 13%. The forecast is for 21.9 total games.

Match Analysis

The gap in overall level is substantial: Svitolina is ranked sixth, while Guo is 240th, and Svitolina has the stronger record against higher-quality opposition. She also has the advantage on hard courts and as a returner, a combination that gives her a reliable way to pressure Guo’s service games. Guo arrives after beating Sorana Cirstea and Katie Volynets in Wuhan, but those matches took 161 and 184 minutes. Svitolina spent 131 minutes beating Liudmila Samsonova in her latest match, leaving Guo with a considerable workload disadvantage. Svitolina’s recent loss to Qinwen Zheng is a reminder that her form has not been uninterrupted, but her win over Samsonova was a strong response.

Total Games Predictions

🎾
Expected Total Games in Match 21.9 Most likely outcome: 21 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Elina Svitolina versus Hanyu Guo. 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 Elina Svitolina versus Hanyu Guo. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Elina Svitolina - Hanyu Guo) +4.7 Most likely spread: +5 (Elina Svitolina wins 5 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Elina Svitolina versus Hanyu Guo. Positive values indicate Elina Svitolina winning more games, negative values indicate Hanyu Guo winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Elina Svitolina versus Hanyu Guo. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Svitolina is projected for 3.0 aces and 3.3 double faults, compared with 1.1 aces and 3.7 double faults for Guo. Their serve strengths are close, but neither profile points to a high ace count, and the estimate has both players making more double faults than aces.
🎯
Expected Total Aces 4.2 Most likely: 2 aces Per player: Elina Svitolina 3.0 + Hanyu Guo 1.1
❌
Expected Total Double Faults 6.9 Most likely: 6 double faults Per player: Elina Svitolina 3.3 + Hanyu Guo 3.7

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Elina Svitolina versus Hanyu Guo. 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 Elina Svitolina versus Hanyu Guo. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Elina Svitolina

Expected 3.0 aces

Probability distribution for the aces Elina Svitolina serves in this match.
Hanyu Guo

Expected 1.1 aces

Probability distribution for the aces Hanyu Guo serves in this match.

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Elina Svitolina versus Hanyu Guo. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Elina Svitolina versus Hanyu Guo. The curve shows the cumulative probability for each double faults threshold.

❌ Double Faults by Player

Elina Svitolina

Expected 3.3 double faults

Probability distribution for the double faults Elina Svitolina serves in this match.
Hanyu Guo

Expected 3.7 double faults

Probability distribution for the double faults Hanyu Guo serves in this match.

Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

17.1% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Elina Svitolina's perspective)

2-0 Most likely set score (65.6%)
Probability distribution of the final set score from Elina Svitolina's perspective. Format: BO3.

Final Prediction

Guo’s two Wuhan wins are the clearest reason to question the forecast. If she carries that form into this match and turns her service games into a greater challenge for Svitolina’s return, the ranking gap may matter less.

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