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

Cameron Norrie vs Mackenzie McDonald: AI Prediction | Games, Spread, Aces & Double Faults

Cameron Norrie

Rank: #26
62%
VS

Mackenzie McDonald

Rank: #119
38%
Expected Total Games: 23.9
Predicted Winner: Cameron Norrie

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Ranking Trends

Cameron Norrie

  • Current #26 2026-02-23
  • 3 mo ago #27 2025-12-01
  • 6 mo ago #35 2025-08-25
  • 9 mo ago #81 2025-05-26
  • 12 mo ago #77 2025-03-03

Mackenzie McDonald

  • Current #119 2026-02-23
  • 3 mo ago #112 2025-12-01
  • 6 mo ago #100 2025-08-25
  • 9 mo ago #98 2025-05-26
  • 12 mo ago #109 2025-03-03

Player Metrics

Cameron Norrie

Form Index: 30.0
ELO Rating: 1222.3
Glicko2 Rating: 1615.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 7.6
Clay: 12.4
Grass: 12.4
Serve Rating: 73.9
Return Rating: 55.0

Mackenzie McDonald

Form Index: 54.6
ELO Rating: 543.0
Glicko2 Rating: 1553.2
Current Fatigue (minutes): 185.0
Surface Strength:
Hard: 5.6
Clay: 4.1
Grass: 5.1
Serve Rating: 97.6
Return Rating: 89.7

Recent Matches

Cameron Norrie
❌ ❌ ✅ ❌ ✅

Mackenzie McDonald
✅ ✅ ✅ ❌ ❌

  • Last Match: ✅ vs Matteo Arnaldi (1-0) hard Indian Wells 62 min
  • 2nd Last Match: ✅ vs Trevor Svajda (2-0) hard Indian Wells 67 min
  • 3rd Last Match: ✅ vs Vitaliy Sachko (2-0) hard Indian Wells 56 min
  • 4th Last Match: ❌ vs Elias Ymer (1-2) hard Acapulco 160 min
  • 5th Last Match: ❌ vs Sebastian Korda (0-2) hard Delray Beach 88 min

Head-to-Head (Last 2 Seasons)

0
Cameron Norrie
vs
0
Mackenzie McDonald
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells in California, Round of 64 on outdoor hard courts of a masters_1000 event, this match pits Brit Cameron Norrie against American Mackenzie McDonald. The model favors Norrie to win (62.5% vs 37.5%) with an expected total of about 23.9 games in the match, suggesting a straight-sets outcome with relatively few extended sets.

Match Analysis

Cameron Norrie arrives as the higher-ranked player (No. 26) with a substantially stronger Elo (1222.31) and a solid hard-court surface strength index (7.64). His form index sits at 29.97 and he has no minutes of fatigue logged in this event, though his recent results show two defeats in his last two outings (Rotterdam, Acapulco) after a win over Roberto Bautista Agut. Mackenzie McDonald is ranked 119 with a lower Elo (542.98) but a markedly higher short-term form index (54.59) and has accumulated 185 minutes on court at Indian Wells, reflecting three consecutive wins in this event (Sachko, Svajda, Arnaldi). Serve and return profiles diverge sharply: McDonald’s mean serve index (97.57) comfortably outstrips Norrie’s (73.94) by over 23 points, and his mean return index (89.73) also exceeds Norrie’s (55.04) by more than 34 points. Those differences point to McDonald as the more aggressive server and a potent returner in the matchup, but Norrie’s ranking, higher Elo and fresher legs are the factors driving the predictive edge.

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 (Cameron Norrie - Mackenzie McDonald) -0.5 Most likely spread: -1 (Mackenzie McDonald 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 match is modest: the model forecasts about 6.72 total aces, and the predicted aces skew towards McDonald given his much higher serve index. Expected double faults sit at roughly 4.11 for the match. On medium-paced hard courts, serve potency still pays dividends but the surface moderates ace totals compared with grass; McDonald’s superior serve rating is the key influence on the projected ace count.
🎯
Expected Total Aces 6.7 Most likely: 6 aces
❌
Expected Total Double Faults 4.1 Most likely: 4 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 higher ranking, superior Elo and lack of tournament fatigue tilt the prediction in his favor despite McDonald’s excellent serving and recent match wins. The decisive factor to watch will be whether McDonald’s serving dominance can produce enough free points to overcome Norrie’s overall quality and freshness.

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