Toronto Canada Hard Masters 1000 Round of 32

Zizou Bergs vs Ben Shelton: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #36
29%
VS

Ben Shelton

Rank: #8
71%
Expected Total Games: 23.9
Predicted Winner: Ben Shelton

Why the Model Favors Ben Shelton

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

Overall strength +4.7 Ben Shelton
Serve & return game +4.5 Ben Shelton
Recent record by level +4.0 Ben Shelton
Surface fit +3.3 Ben Shelton
Overall record & opposition quality +1.6 Ben Shelton

Starting from an even matchup, these factors move the model to 71% for Ben Shelton. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.

Set it up

Ranking Trends

Zizou Bergs

  • Current #36 2026-07-27
  • 3 mo ago #39 2026-05-04
  • 6 mo ago #40 2026-02-02
  • 9 mo ago #40 2025-11-03
  • 12 mo ago #54 2025-08-04

Ben Shelton

  • Current #8 2026-07-27
  • 3 mo ago #6 2026-05-04
  • 6 mo ago #9 2026-02-02
  • 9 mo ago #6 2025-11-03
  • 12 mo ago #6 2025-08-04

Player Metrics

Zizou Bergs

Form Index: 56.9
ELO Rating: 1717.5
Glicko2 Rating: 1702.3
Current Fatigue (minutes): 110.0
Surface Strength:
Hard: 23.4
Clay: 10.7
Grass: 20.9
Serve Rating: 96.1
Return Rating: 88.3

Ben Shelton

Form Index: 42.9
ELO Rating: 1753.5
Glicko2 Rating: 1874.4
Current Fatigue (minutes): 96.0
Surface Strength:
Hard: 38.3
Clay: 27.7
Grass: 37.0
Serve Rating: 97.2
Return Rating: 85.4

Recent Matches

Zizou Bergs
✅ ❌ ❌ ✅ ✅

  • Last Match: ✅ vs Sebastian Baez (2-1) hard Toronto 110 min
  • 2nd Last Match: ❌ vs Taylor Fritz (0-2) hard Washington 79 min
  • 3rd Last Match: ❌ vs Arthur Fery (2-3) grass Wimbledon 174 min
  • 4th Last Match: ✅ vs Jaime Faria (3-1) grass Wimbledon 174 min
  • 5th Last Match: ✅ vs Ugo Humbert (3-2) grass Wimbledon 174 min

Ben Shelton
✅ ❌ ✅ ✅ ❌

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Ben Shelton
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Toronto Masters 1000, Round of 32 on hard courts, Ben Shelton is the clear favorite against Zizou Bergs. The model projects Shelton to win with a 71.17% probability versus 28.83% for Bergs, and expects about 23.95 games in the match.

Match Analysis

The model’s edge for Shelton comes mainly from overall strength and the serve & return matchup. Shelton’s higher Elo (1753.5 vs 1717.5) and top-10 ranking (No. 8) underpin the “overall strength” advantage (+4.7 percentage points), while serve/return metrics push a further +4.5 toward Shelton. Shelton’s surface strength index (38.3) is notably better than Bergs’s (23.4), which also favors him on medium-paced hard courts (+3.3). Bergs, though ranked 36, brings a stronger recent form index (56.9) than Shelton (42.9), but that hasn’t outweighed the other model factors. Both players show similar serve and return profiles: Bergs’ mean serve index is 96.12 versus Shelton’s 97.19, and mean return indices are 88.30 (Bergs) and 85.42 (Shelton); neither difference exceeds five points, so serve/return tools are comparable on paper. Fatigue slightly favors Shelton (96 minutes on court in the event vs Bergs’ 110), and recent records are mixed: Bergs arrives on the back of a hard-court win in Toronto over Sebastian Baez but had two tougher losses (to Taylor Fritz and at Wimbledon). Shelton has two wins in his last three, including his Toronto opener over Jenson Brooksby, with a three-set loss to Alejandro Tabilo in Washington.

Total Games Predictions

🎾
Expected Total Games in Match 23.9 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Games Spread Predictions

📈
Expected Games Spread (Zizou Bergs - Ben Shelton) -2.7 Most likely spread: -3 (Ben Shelton wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Cumulative Probability (CDF)

Probability of spread ≤ X

Aces and Double Faults Predictions

The aces prediction sits at an expected total of 14.6 for the match and a double faults prediction of about 7.21. On medium-paced hard courts the predicted aces level is consistent with both players’ powerful serves; the expected double faults reflect moderate risk from aggressive serving. Because neither player has a significantly higher serve index, the predicted aces are driven by both players rather than one dominant big server.
🎯
Expected Total Aces 14.6 Most likely: 14 aces
❌
Expected Total Double Faults 7.2 Most likely: 7 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Cumulative Probability (CDF)

Probability of aces ≤ X

❌ Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Cumulative Probability (CDF)

Probability of double faults ≤ X

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

45.9% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Zizou Bergs's perspective)

0-2 Most likely set score (41.2%)
New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Shelton’s edge stems primarily from overall strength (Elo and ranking) and a better fit to the hard-court conditions. The key factor to watch will be how Shelton’s serve and surface comfort translate under pressure—if Bergs can break rhythm early, the match could tighten beyond the projected totals.

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