Montreal Toronto, CAN Hard Wta 1000 Semifinals

Alina Korneeva vs Emma Navarro: AI Prediction | Games, Spread, Aces & Double Faults

Alina Korneeva

Rank: #89
51%
VS

Emma Navarro

Rank: #26
49%
Expected Total Games: 23.3
Predicted Winner: Alina Korneeva

Why the Model Favors Alina Korneeva

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

Overall strength +6.3 Emma Navarro
Surface fit +6.3 Alina Korneeva
Recent record by level +2.3 Alina Korneeva
Serve & return game +1.6 Emma Navarro
Recent form +1.6 Alina Korneeva

Starting from an even matchup, these factors move the model to 51% for Alina Korneeva. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

Also available in Claude. Query these predictions in plain language — our native connector lets Claude call our models on demand, no code.

Set it up

Player Metrics

Alina Korneeva

Form Index: 53.0
ELO Rating: 1654.1
Glicko2 Rating: 1757.2
Current Fatigue (minutes): 150.0
Surface Strength:
Hard: 27.1
Clay: 17.9
Grass: 5.5
Serve Rating: 96.2
Return Rating: 95.9

Emma Navarro

Form Index: 37.1
ELO Rating: 1770.1
Glicko2 Rating: 1789.9
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 24.0
Clay: 31.0
Grass: 39.3
Serve Rating: 95.3
Return Rating: 87.6

Recent Matches

Alina Korneeva

  • Last Match: vs Polina Kudermetova (0-0) hard Montreal 36 min
  • 2nd Last Match: vs Mary Stoiana (2-1) hard Montreal 114 min
  • 3rd Last Match: vs Maria Sakkari (0-2) hard Athens 83 min
  • 4th Last Match: vs Tereza Valentova (2-0) hard Athens 100 min
  • 5th Last Match: vs Ann Li (2-0) hard Athens 66 min

Emma Navarro

Head-to-Head (Last 2 Seasons)

0
Alina Korneeva
vs
0
Emma Navarro
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This semifinal in Toronto at the montreal hard-court WTA 1000 sees rising Alina Korneeva face off against Emma Navarro with a spot in the final on the line. The model narrowly favors Korneeva to win (50.59%) over Navarro (49.41%), with an expected total of about 23.29 games in the match — a tight, likely single-break affair.

Match Analysis

The model’s edge is driven mainly by two opposing forces: Navarro’s overall strength (the biggest single advantage) versus Korneeva’s better surface fit. Navarro’s higher Elo (1770.1) and superior ranking (26) underline her general class and consistency at higher levels, while Korneeva’s surface strength and recent results on hard courts tilt the matchup in her direction. Recent-record adjustments and short-term form also give Korneeva small additional nudges. Looking at the raw player data, Korneeva (rank 89) arrives with a stronger form index (52.98 vs Navarro’s 37.10) and a notably higher mean return index (95.94) compared with Navarro (87.61) — a difference greater than 5 points that suggests Korneeva will be aggressive on return games. Navarro’s mean serve index (95.28) is roughly on par with Korneeva’s (96.16), so there isn’t a clear serving power gap. Fatigue is a factor: Korneeva has already spent 150 tournament minutes on court this week whereas Navarro shows zero cumulative minutes in this event, which could matter in long rallies. Over the last three matches Korneeva is 2–1 (wins versus Kudermetova and Stoiana, loss to Sakkari); Navarro is 1–2 (win over Kenin, losses to Cocciaretto and Kostyuk).

Total Games Predictions

🎾
Expected Total Games in Match 23.3 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Alina Korneeva versus Emma Navarro. 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 Alina Korneeva versus Emma Navarro. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Alina Korneeva - Emma Navarro) +0.1 Most likely spread: 0 (even number of games won)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Alina Korneeva versus Emma Navarro. Positive values indicate Alina Korneeva winning more games, negative values indicate Emma Navarro winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Alina Korneeva versus Emma Navarro. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction is low — predicted aces for the match sit at about 3.12 — consistent with a medium-paced hard court that produces a moderate number of free points. The expected double faults total is 8.43, a relatively high number that could decide close service games. Because neither player has a significantly higher serve rating, predicted aces should remain modest; Korneeva’s stronger return profile may further suppress easy aces.
🎯
Expected Total Aces 3.1 Most likely: 3 aces
Expected Total Double Faults 8.4 Most likely: 8 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Alina Korneeva versus Emma Navarro. 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 Alina Korneeva versus Emma Navarro. 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 Alina Korneeva versus Emma Navarro. 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 Alina Korneeva versus Emma Navarro. 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

28.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Alina Korneeva's perspective)

0-2 Most likely set score (34.0%)
Probability distribution of the final set score from Alina Korneeva's perspective. Format: BO3.

Final Prediction

Korneeva’s edge comes primarily from her surface fit and recent form despite Navarro’s greater overall strength on paper. The key factor to watch is Korneeva’s return impact early in games — if she breaks serve under pressure, the narrow prediction likely swings fully in her favor.

Get Daily Tennis Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven tennis predictions directly on your phone.

Join Our Telegram Channel