Washington DC, U.S.A. Hard Atp 500 Finals

Taylor Fritz vs Rafael Jodar: AI Prediction | Games, Spread, Aces & Double Faults

Taylor Fritz

Rank: #10
61%
VS

Rafael Jodar

Rank: #24
39%
Expected Total Games: 25.6
Predicted Winner: Taylor Fritz

Why the Model Favors Taylor Fritz

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

Overall strength +6.4 Taylor Fritz
Recent form +6.2 Taylor Fritz
Serve & return game +6.1 Taylor Fritz
Age +4.3 Rafael Jodar
Surface fit +2.1 Rafael Jodar

Starting from an even matchup, these factors move the model to 61% for Taylor Fritz. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Taylor Fritz

Form Index: 64.4
ELO Rating: 1916.1
Glicko2 Rating: 1919.9
Current Fatigue (minutes): 292.0
Surface Strength:
Hard: 40.3
Clay: 21.6
Grass: 46.7
Serve Rating: 98.5
Return Rating: 88.3

Rafael Jodar

Form Index: 74.1
ELO Rating: 1916.9
Glicko2 Rating: 1922.0
Current Fatigue (minutes): 300.0
Surface Strength:
Hard: 32.5
Clay: 37.5
Grass: 12.1
Serve Rating: 95.1
Return Rating: 89.6

Recent Matches

Taylor Fritz

Rafael Jodar

Head-to-Head (Last 2 Seasons)

1
Taylor Fritz
vs
0
Rafael Jodar
Hard
1 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

The Washington final in D.C. is a hard‑court clash in a 500‑level event between Taylor Fritz and Rafael Jodar. The model favors Fritz to take the title — projected win probability 60.81% for Fritz versus 39.19% for Jodar — with a predicted total of about 25.63 games in the match.

Match Analysis

The model’s edge for Fritz comes largely from overall strength, recent form and the serve & return profile. Overall strength contributes +6.4 percentage points toward Fritz; his higher tour rank (No. 10), an Elo of 1916.10 and a solid form index (64.40) underpin that advantage. Recent form adds another +6.2 points: Fritz arrives having won three straight matches in Washington (victories over Bergs, Majchrzak and Michelsen), with match times of 79, 75 and a longer 138 minutes in the last round. His cumulative fatigue in the event is 292 minutes. Serve & return dynamics push +6.1 points to Fritz as well. Fritz posts a mean serve index of 98.46 and a mean return index of 88.30; Jodar’s comparable indices are 95.07 (serve) and 89.64 (return). Neither gap exceeds five points, so service and return tools are relatively close on paper. The model does note modest pushes toward Jodar on age (+4.3 points) and surface fit (+2.1 points); interestingly, those adjustments favor Jodar even though Fritz’s surface strength index (40.29) is higher than Jodar’s (32.52). Jodar’s tournament run has been strong — three straight wins over Fils, Nishikori and Musetti with slightly higher accumulated fatigue at 300 minutes — so he arrives battle hardened.

Total Games Predictions

🎾
Expected Total Games in Match 25.6 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Taylor Fritz - Rafael Jodar) +1.4 Most likely spread: +1 (Taylor Fritz wins 1 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for the match is 17.24 total and the expected double faults are 4.85. On a medium‑paced hard court, predicted aces are moderate: the surface rewards both power and precision, so we should see a steady but not overwhelming ace count. Since Fritz’s mean serve index is only marginally higher than Jodar’s, the predicted aces reflect contributions from both servers rather than a single dominant ace source. This is the predicted aces and expected double faults profile to expect.
🎯
Expected Total Aces 17.2 Most likely: 17 aces
Expected Total Double Faults 4.8 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

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

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

52.7% Predicted: Tiebreak likely

Exact Score Distribution BO3

Probability of each set-by-set outcome (Taylor Fritz's perspective)

2-0 Most likely set score (39.6%)
Probability distribution of the final set score from Taylor Fritz's perspective. Format: BO3.

Final Prediction

Fritz’s lead is driven primarily by overall strength — rank and Elo — with recent form and serve/return balance cementing the edge. The key factor to watch live: who seizes the early service games, as the match total projection (about 25–26 games) suggests a relatively compact contest where a single break could decide the outcome.

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