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

Jacob Fearnley vs Taylor Fritz: AI Prediction | Games, Spread, Aces & Double Faults

Jacob Fearnley

Rank: #90
23%
VS

Taylor Fritz

Rank: #7
77%
Expected Total Games: 23.3
Predicted Winner: Taylor Fritz

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Player Metrics

Jacob Fearnley

Form Index: 31.3
ELO Rating: 687.1
Glicko2 Rating: 1559.0
Current Fatigue (minutes): 83.0
Surface Strength:
Hard: 4.5
Clay: 6.4
Grass: 7.7
Serve Rating: 69.7
Return Rating: 75.2

Taylor Fritz

Form Index: 56.0
ELO Rating: 3666.1
Glicko2 Rating: 2021.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 23.0
Clay: 29.7
Grass: 33.8
Serve Rating: 98.6
Return Rating: 88.5

Recent Matches

Jacob Fearnley

Taylor Fritz

  • Last Match: vs Tommy Paul (0-2) hard Delray Beach 76 min
  • 2nd Last Match: vs Rafael Jodar (2-0) hard Delray Beach 106 min
  • 3rd Last Match: vs Ben Shelton (1-2) hard Dallas 111 min
  • 4th Last Match: vs Marin Cilic (2-0) hard Dallas 122 min
  • 5th Last Match: vs Sebastian Korda (2-1) hard Dallas 149 min

Head-to-Head (Last 2 Seasons)

0
Jacob Fearnley
vs
0
Taylor Fritz
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At Indian Wells in California, Round of 64 on outdoor hard courts at a masters_1000 event, Taylor Fritz is strongly favoured to progress. The model gives Fritz a 77.49% chance to win versus a 22.51% chance for Jacob Fearnley, with an expected total of about 23.3 games in the match.

Match Analysis

On paper the gap is clear: Fritz is ranked No. 7 to Fearnley’s No. 90 and carries a much higher Elo (3666.12 vs 687.14). Fritz’s form index (55.98) also outpaces Fearnley’s (31.32), and his surface strength index (22.96) is noticeably higher than Fearnley’s (4.50). Fatigue is another factor — Fearnley has accumulated 83 minutes on court so far at this event while Fritz is fresh with 0 minutes logged. The serve and return profiles diverge markedly: Fritz’s mean serve index (98.63) exceeds Fearnley’s (69.68) by well over 5 points, and his mean return index (88.54) is also substantially higher than Fearnley’s (75.19), suggesting Fritz can dominate both starts and rallies. Recent match form tells a complementary story. Fearnley arrives off a straight-sets win at Indian Wells but had two earlier losses at Adelaide and the Australian Open; those matches included a long 174-minute contest in Melbourne. Fritz’s recent slate is mixed — a win at Delray Beach and two losses (including a recent defeat to Tommy Paul), showing some vulnerability but enough high-level wins to justify favouritism. Both players’ recent results are on hard courts, so current form is directly comparable.

Total Games Predictions

🎾
Expected Total Games in Match 23.3 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Jacob Fearnley versus Taylor Fritz. 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 Jacob Fearnley versus Taylor Fritz. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Jacob Fearnley - Taylor Fritz) +6.5 Most likely spread: +8 (Jacob Fearnley wins 8 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Jacob Fearnley versus Taylor Fritz. Positive values indicate Jacob Fearnley winning more games, negative values indicate Taylor Fritz winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Jacob Fearnley versus Taylor Fritz. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this match is 8.89 total, and the predicted aces figure should skew toward Fritz given his much higher serve index. On a medium-paced hard court that produces a balanced number of service winners, this level of predicted aces is consistent with a big server meeting a competent returner. For double faults prediction, the expected double faults tally is 6.37 for the match; that moderate number reflects some risk from aggressive serving but not an extreme error rate.
🎯
Expected Total Aces 8.9 Most likely: 8 aces
Expected Total Double Faults 6.4 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Jacob Fearnley versus Taylor Fritz. 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 Jacob Fearnley versus Taylor Fritz. 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 Jacob Fearnley versus Taylor Fritz. 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 Jacob Fearnley versus Taylor Fritz. The curve shows the cumulative probability for each double faults threshold.

Final Prediction

Fritz’s superior ranking, Elo, serve and return metrics, plus freshness, give him the decisive edge in the forecast. Watch Fritz’s serve performance early — how many free points he generates will likely determine whether this stays a short match near the projected 23 games.

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