Montpellier France Hard Atp 250 Round of 16

Felix Auger-Aliassime vs Stan Wawrinka: AI Prediction | Games, Spread, Aces & Double Faults

Felix Auger-Aliassime

Rank: #8
71%
VS

Stan Wawrinka

Rank: #139
29%
Expected Total Games: 23.0
Predicted Winner: Felix Auger-Aliassime

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Player Metrics

Felix Auger-Aliassime

Form Index: 35.3
ELO Rating: 4062.0
Glicko2 Rating: 1664.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 26.7
Clay: 30.0
Grass: 31.1
Serve Rating: 80.6
Return Rating: 36.8

Stan Wawrinka

Form Index: 55.5
ELO Rating: 509.7
Glicko2 Rating: 1546.7
Current Fatigue (minutes): 98.0
Surface Strength:
Hard: 5.5
Clay: 3.6
Grass: 3.5
Serve Rating: 96.9
Return Rating: 91.9

Recent Matches

Felix Auger-Aliassime

Stan Wawrinka

  • Last Match: vs Hamad Medjedovic (2-0) hard Montpellier 98 min
  • 2nd Last Match: vs Taylor Fritz (1-3) hard Australian Open 174 min
  • 3rd Last Match: vs Arthur Gea (3-2) hard Australian Open 174 min
  • 4th Last Match: vs Laslo Djere (3-1) hard Australian Open 174 min
  • 5th Last Match: vs Casper Ruud (0-2) hard Basel 101 min

Head-to-Head (Last 2 Seasons)

0
Felix Auger-Aliassime
vs
0
Stan Wawrinka
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

This Round of 16 match in Montpellier, France is on indoor hard courts at a 250-level event. The model predicts Felix Auger-Aliassime to win with a 70.82% probability against Stan Wawrinka’s 29.18%, and the match is expected to contain about 22.97 games.

Match Analysis

Felix enters as the clear higher-ranked player (No. 8) with a very large Elo rating (4062.0) compared with Wawrinka (rank 139, Elo 509.69). Felix’s form index is 35.28 and he arrives with zero cumulative fatigue from this tournament; his surface strength index on hard is 26.72. Wawrinka shows a higher form index (55.46) but carries 98 minutes of on-court time in this event and has a low surface strength index (5.53) on hard. There are notable gaps in the serve/return profiles: Wawrinka’s mean serve index (96.94) exceeds Felix’s (80.64) by more than 5 points, and his mean return index (91.86) is substantially higher than Felix’s return index (36.81). Looking at recent results, Felix has three recent hard-court outings: a straight-sets win over Alexander Bublik in Paris, followed by losses to Jannik Sinner (Paris) and Nuno Borges (Australian Open). Those matches include a mix of short and very long encounters (match durations of 96, 112 and 174 minutes). Wawrinka’s last three include a Montpellier win over Hamad Medjedovic (98 minutes) plus mixed results at the Australian Open (a five-set win versus Arthur Gea and a loss to Taylor Fritz). The recent sample shows Wawrinka fighting through lengthy matches while Felix’s recent results are uneven against top opposition.

Total Games Predictions

🎾
Expected Total Games in Match 23.0 Most likely outcome: 22 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Felix Auger-Aliassime 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 Felix Auger-Aliassime 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 (Felix Auger-Aliassime - Stan Wawrinka) +1.8 Most likely spread: +2 (Felix Auger-Aliassime wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Felix Auger-Aliassime versus Stan Wawrinka. Positive values indicate Felix Auger-Aliassime 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 Felix Auger-Aliassime versus Stan Wawrinka. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for the match is 15.91 total and the predicted double faults total is 5.94. On medium-paced hard courts, the expected aces figure is moderate — the surface rewards both big servers and aggressive returners. Given Wawrinka’s substantially higher mean serve index, he is likely to contribute disproportionately to the predicted aces; at the same time Felix’s lower return index suggests fewer breaks, which can also lift the predicted ace count. The expected double faults (about 5.94) reflect a modest error rate across both servers.
🎯
Expected Total Aces 15.9 Most likely: 15 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 Felix Auger-Aliassime 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 Felix Auger-Aliassime 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 Felix Auger-Aliassime 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 Felix Auger-Aliassime versus Stan Wawrinka. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Felix’s edge comes from a much higher ranking and Elo rating plus a freshness advantage in this event; those factors drive the 70.82% prediction. The key factor to watch is Wawrinka’s serving and returning quality — despite lower ranking and surface strength, his elite serve/return indices can change the match dynamics.

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