Indian Wells CA, U.S.A. Hard Masters 1000 Round of 64

Zizou Bergs vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults

Zizou Bergs

Rank: #46
36%
VS

Tommy Paul

Rank: #22
64%
Expected Total Games: 23.9
Predicted Winner: Tommy Paul

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Ranking Trends

Zizou Bergs

  • Current #46 2026-02-23
  • 3 mo ago #43 2025-12-01
  • 6 mo ago #48 2025-08-25
  • 9 mo ago #50 2025-05-26
  • 12 mo ago #53 2025-03-03

Tommy Paul

  • Current #22 2026-02-23
  • 3 mo ago #20 2025-12-01
  • 6 mo ago #14 2025-08-25
  • 9 mo ago #12 2025-05-26
  • 12 mo ago #11 2025-03-03

Player Metrics

Zizou Bergs

Form Index: 32.1
ELO Rating: 1045.6
Glicko2 Rating: 1575.1
Current Fatigue (minutes): 73.0
Surface Strength:
Hard: 7.1
Clay: 8.8
Grass: 8.9
Serve Rating: 80.4
Return Rating: 73.2

Tommy Paul

Form Index: 62.4
ELO Rating: 1887.6
Glicko2 Rating: 1813.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 15.3
Clay: 18.6
Grass: 15.8
Serve Rating: 96.5
Return Rating: 90.1

Recent Matches

Zizou Bergs
✅ ❌ ❌ ✅ ❌

Tommy Paul
❌ ✅ ✅ ✅ ✅

  • Last Match: ❌ vs Sebastian Korda (0-2) hard Delray Beach 82 min
  • 2nd Last Match: ✅ vs Learner Tien (2-1) hard Delray Beach 134 min
  • 3rd Last Match: ✅ vs Taylor Fritz (2-0) hard Delray Beach 76 min
  • 4th Last Match: ✅ vs Adam Walton (2-0) hard Delray Beach 97 min
  • 5th Last Match: ✅ vs Corentin Moutet (2-1) hard Delray Beach 150 min

Head-to-Head (Last 2 Seasons)

0
Zizou Bergs
vs
0
Tommy Paul
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells (hard, Masters 1000) in the round of 64, Tommy Paul is projected to beat Zizou Bergs. The model gives Paul a 63.72% chance of victory versus 36.28% for Bergs, with an expected total of about 23.9 games in the match.

Match Analysis

Paul brings the clear statistical edge: world No. 22, a form index of 62.38 and a much higher Elo (1,887.56) than Bergs (rank 46, form 32.14, Elo 1,045.58). Bergs has logged 73 minutes on court in this event, while Paul shows no tournament fatigue, a factor that favors the fresher player in a best-of-three match. Surface strength indices are modest for both, but Paul’s 15.34 tops Bergs’s 7.14, suggesting a slight comfort advantage on hard courts. Serve and return metrics tilt heavily toward Paul. His mean serve index (96.53) exceeds Bergs’s (80.38) by more than 16 points, and his mean return index (90.08) is likewise about 17 points higher — both sizable gaps that should translate into more free points and tighter hold percentages for Paul. Recent form reinforces the edge: Bergs has won one of his last three matches (a straight-sets win over Jan-Lennard Struff at this event) after defeats to Jenson Brooksby and Jiri Lehecka, whereas Paul has two wins in his last three outings and arrives with a steadier run despite a recent loss.

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 - Tommy Paul) -0.6 Most likely spread: -1 (Tommy Paul wins 1 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 for the contest sits near 11 total; the predicted aces skew toward Paul given his superior serve index. Expected double faults are just above five for the match, a moderate figure on hard courts. With hard courts offering a balanced pace and consistent bounce, the predicted aces and expected double faults reflect a contest where a powerful server like Paul can generate more free points while still keeping double faults at a manageable level.
🎯
Expected Total Aces 10.9 Most likely: 10 aces
❌
Expected Total Double Faults 5.0 Most likely: 5 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

New to probability charts? Learn how to interpret distribution and CDF curves

Final Prediction

Paul’s higher Elo, stronger serve and return metrics, and fresher legs underpin the projected win. The key factor to watch is Paul’s serve — if he converts his serve advantage into free points, the match is likely to stay short and fall cleanly in his favor.

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