Rotterdam Netherlands Hard Atp 500 Round of 16

Christopher O'Connell vs Cameron Norrie: AI Prediction | Games, Aces & Double Faults

Christopher O'Connell

Rank: #119
38%
VS

Cameron Norrie

Rank: #26
62%
Expected Total Games: 23.2
Predicted Winner: Cameron Norrie

Ranking Trends

Christopher O'Connell

  • Current Rank: #119 (2026-02-02)
  • 3 Months Ago: #116 (2025-11-10)
  • 6 Months Ago: #77 (2025-08-04)
  • 9 Months Ago: #81 (2025-05-05)
  • 12 Months Ago: #79 (2025-02-10)

Cameron Norrie

  • Current Rank: #26 (2026-02-02)
  • 3 Months Ago: #27 (2025-11-10)
  • 6 Months Ago: #39 (2025-08-04)
  • 9 Months Ago: #91 (2025-05-05)
  • 12 Months Ago: #61 (2025-02-10)

Player Metrics

Christopher O'Connell

Form Index: 47.5
ELO Rating: 544.8
Glicko2 Rating: 1579.0
Current Fatigue (minutes): 342.0
Surface Strength:
Hard: 5.4
Clay: 3.7
Grass: 3.3
Serve Rating: 76.9
Return Rating: 52.6

Cameron Norrie

Form Index: 65.6
ELO Rating: 1407.1
Glicko2 Rating: 1623.9
Current Fatigue (minutes): 114.0
Surface Strength:
Hard: 11.2
Clay: 13.7
Grass: 12.9
Serve Rating: 97.6
Return Rating: 90.4

Recent Matches

Christopher O'Connell
✅ ✅ ✅ ❌ ❌

  • Last Match: ✅ vs Valentin Royer (2-1) hard Rotterdam 172 min
  • 2nd Last Match: ✅ vs Hugo Gaston (2-0) hard Rotterdam 79 min
  • 3rd Last Match: ✅ vs Vitaliy Sachko (2-0) hard Rotterdam 91 min
  • 4th Last Match: ❌ vs Roberto Bautista Agut (1-2) hard Montpellier 168 min
  • 5th Last Match: ❌ vs Nishesh Basavareddy (2-3) hard Australian Open 174 min

Cameron Norrie
✅ ❌ ✅ ✅ ❌

  • Last Match: ✅ vs Roberto Bautista Agut (2-0) hard Rotterdam 114 min
  • 2nd Last Match: ❌ vs Alexander Zverev (1-3) hard Australian Open 174 min
  • 3rd Last Match: ✅ vs Emilio Nava (3-1) hard Australian Open 174 min
  • 4th Last Match: ✅ vs Benjamin Bonzi (2-2) hard Australian Open 174 min
  • 5th Last Match: ❌ vs Giovanni Mpetshi Perricard (1-2) hard Auckland 122 min

Head-to-Head (Last 2 Seasons)

0
Christopher O'Connell
vs
1
Cameron Norrie
Hard
0 - 0
Clay
0 - 1
Grass
0 - 0

Key Prediction Insights

Rotterdam, Netherlands — Round of 16 on indoor hard courts at a 500-level event. Cameron Norrie is the projected winner with a 62.27% chance, while Christopher O’Connell is given a 37.73% probability; the model expects around 23.18 total games in the match.

Match Analysis

The contrast in credentials is clear on paper: Norrie sits at No. 26 versus O’Connell at No. 119, and his Elo (1,407.05) is substantially higher than O’Connell’s (544.81). Norrie’s form index (65.58) also eclipses O’Connell’s (47.47). Fatigue figures favor Norrie — 114 minutes on court in the event so far compared with O’Connell’s 342 minutes — which can matter late in rallies on a medium-paced hard court. Both players show modest surface strength indices (O’Connell 5.43, Norrie 11.19), with Norrie rated higher but not by an extreme margin. Serve and return metrics tilt heavily toward Norrie. His mean serve index (97.59) is roughly 20.7 points higher than O’Connell’s (76.91), and his mean return index (90.43) exceeds O’Connell’s (52.63) by nearly 38 points — both differences well above the 5-point threshold. Over the last three matches O’Connell has been consistent at Rotterdam, posting three wins (including a lengthy 172-minute match), while Norrie enters after a straight-sets win here and mixed results at the Australian Open (one deep loss to Zverev and a prior win). Those recent results show O’Connell’s match toughness and Norrie’s higher-level consistency.

Total Games Predictions

🎾
Expected Total Games in Match 23.2 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Cumulative Probability (CDF)

Probability of total games ≤ X

Aces and Double Faults Predictions

The aces prediction for the match is about 10.06 total, with a predicted aces split likely favoring Norrie given his much higher serve index. The double faults prediction sits at 5.63 expected double faults for the match; slower hard-court bounce than grass should keep ace numbers moderate, while players’ serve reliability will determine the double fault count. Norrie’s superior serve rating is the main driver behind the higher predicted ace share.
🎯
Expected Total Aces 10.1 Most likely: 10 aces
❌
Expected Total Double Faults 5.6 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

Norrie’s edge comes from superior ranking, Elo, serve and return indices and lower on-court fatigue. Watch his serve-and-return interaction early — if Norrie converts free points on serve and neutralizes O’Connell’s chances on return games, the match should follow the projected outcome.

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