Barcelona Spain Clay Atp 500 Round of 32

Cameron Norrie vs Stan Wawrinka: AI Prediction | Games, Spread, Aces & Double Faults

Cameron Norrie

Rank: #24
80%
VS

Stan Wawrinka

Rank: #104
20%
Expected Total Games: 22.2
Predicted Winner: Cameron Norrie

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Player Metrics

Cameron Norrie

Form Index: 42.1
ELO Rating: 1690.0
Glicko2 Rating: 1723.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 59.5
Clay: 43.1
Grass: 46.5
Serve Rating: 74.0
Return Rating: 68.9

Stan Wawrinka

Form Index: 47.8
ELO Rating: 1610.9
Glicko2 Rating: 1716.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 53.0
Clay: 36.5
Grass: 39.9
Serve Rating: 96.8
Return Rating: 90.0

Recent Matches

Cameron Norrie

  • Last Match: vs Alex de Minaur (1-2) clay Monte Carlo 144 min
  • 2nd Last Match: vs Miomir Kecmanovic (2-1) clay Monte Carlo 168 min
  • 3rd Last Match: vs Alex Michelsen (1-2) hard Miami 156 min
  • 4th Last Match: vs Carlos Alcaraz (0-2) hard Indian Wells 93 min
  • 5th Last Match: vs Rinky Hijikata (2-0) hard Indian Wells 76 min

Stan Wawrinka

  • Last Match: vs Sebastian Baez (0-2) clay Monte Carlo 107 min
  • 2nd Last Match: vs Daniil Medvedev (0-2) hard Dubai 73 min
  • 3rd Last Match: vs Benjamin Hassan (2-0) hard Dubai 71 min
  • 4th Last Match: vs Alex de Minaur (0-2) hard Rotterdam 69 min
  • 5th Last Match: vs Thijs Boogaard (2-0) hard Rotterdam 82 min

Head-to-Head (Last 2 Seasons)

0
Cameron Norrie
vs
0
Stan Wawrinka
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Barcelona, Spain — round of 32 on clay at an ATP 500 event sees Cameron Norrie facing Stan Wawrinka. The model projects Norrie to win (79.84% vs Wawrinka 20.16%) with a relatively short match expected: about 22.23 total games.

Match Analysis

Norrie arrives as the higher-ranked player (No. 24) with an Elo of 1690.05, a surface strength index of 43.06 and a form index of 42.07; he shows no tournament fatigue (0 minutes on court). Wawrinka, ranked 104 with an Elo of 1610.94, posts a slightly higher recent form index (47.81) but a lower clay surface strength (36.47) and also reports no fatigue. Serve-return profiles diverge: Wawrinka’s mean serve index (96.82) is substantially higher than Norrie’s (74.03) — a >5-point gap worth noting — and his mean return index (90.00) also exceeds Norrie’s (68.90) by more than 5 points. Those contrasts suggest Wawrinka still carries weapons on serve and return despite lower surface comfort. Recent form shows Norrie with mixed results: a win over Miomir Kecmanović in Monte Carlo and two three-set exits (losses to Alex de Minaur in Monte Carlo and to Alex Michelsen in Miami). Wawrinka’s last three matches include a straight-sets win over Benjamin Hassan, followed by losses to Daniil Medvedev (hard) and Sebastián Báez (clay). Both men have shown moments of quality, but Norrie’s higher ranking, clay aptitude and superior Elo give him the statistical edge here.

Total Games Predictions

🎾
Expected Total Games in Match 22.2 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Cameron Norrie versus Stan Wawrinka. 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 Cameron Norrie versus Stan Wawrinka. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Cameron Norrie - Stan Wawrinka) -1.4 Most likely spread: -2 (Stan Wawrinka wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Cameron Norrie versus Stan Wawrinka. Positive values indicate Cameron Norrie winning more games, negative values indicate Stan Wawrinka winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Cameron Norrie versus Stan Wawrinka. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this clay match is modest — predicted aces total 11.09 — reflecting the surface’s tendency to reduce serve winners. The expected double faults tally is 5.88; clay’s longer rallies and wear can increase miscues, so the expected double faults figure is consistent with that. Wawrinka’s much higher serve index should lift the match’s ace count, but the clay surface will blunt that advantage.
🎯
Expected Total Aces 11.1 Most likely: 11 aces
Expected Total Double Faults 5.9 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Cameron Norrie versus Stan Wawrinka. 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 Cameron Norrie versus Stan Wawrinka. 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 Cameron Norrie versus Stan Wawrinka. 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 Cameron Norrie versus Stan Wawrinka. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Norrie’s superior ranking, higher Elo and better clay-specific profile are the main reasons he’s favored. Watch how effectively Wawrinka’s heavy serve translates on slow courts — that will be the key factor determining whether the match becomes tighter than the numbers suggest.

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