Washington DC, U.S.A. Hard Atp 500 Round of 32

Kamil Majchrzak vs Tommy Paul: AI Prediction | Games, Spread, Aces & Double Faults

Kamil Majchrzak

Rank: #72
19%
VS

Tommy Paul

Rank: #21
81%
Expected Total Games: 23.1
Predicted Winner: Tommy Paul

Why the Model Favors Tommy Paul

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

Recent record by level +10.2 Tommy Paul
Surface fit +8.8 Tommy Paul
Overall strength +4.7 Tommy Paul
Serve & return game +4.3 Tommy Paul
Overall record & opposition quality +2.5 Tommy Paul

Starting from an even matchup, these factors move the model to 81% for Tommy Paul. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Kamil Majchrzak

Form Index: 35.3
ELO Rating: 1676.1
Glicko2 Rating: 1723.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 27.4
Clay: 8.5
Grass: 20.9
Serve Rating: 97.0
Return Rating: 90.2

Tommy Paul

Form Index: 40.9
ELO Rating: 1805.6
Glicko2 Rating: 1879.0
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 36.7
Clay: 37.5
Grass: 22.0
Serve Rating: 96.0
Return Rating: 89.5

Recent Matches

Kamil Majchrzak

Tommy Paul

Head-to-Head (Last 2 Seasons)

0
Kamil Majchrzak
vs
0
Tommy Paul
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Washington, D.C., Round of 32 on hard courts at this 500-level event pits Kamil Majchrzak against Tommy Paul. The model strongly favors Paul, projecting him to win with an 80.69% probability (Majchrzak 19.31%), and estimates a relatively short match of about 23.13 total games.

Match Analysis

The model’s edge for Tommy Paul comes mainly from recent record by level and surface fit. Paul’s higher standing — world No. 21 with an Elo of 1805.6 and a form index of 40.9 — contrasts with Majchrzak’s No. 72 ranking, Elo 1676.1 and form index 35.3, which supports the prediction toward Paul. Surface strength also favors Paul: his surface index on hard is 36.65 versus Majchrzak’s 27.43, reflecting better historical results on faster, consistent-bounce courts and contributing 8.8 percentage points to the forecast. Serve & return and overall strength nudged the model further toward Paul. Both players present similar serving and returning profiles (mean serve indexes roughly 96.0–97.0 and return indexes about 89–90), so neither has a glaring advantage in raw serve metrics, and neither difference exceeds a 5-point threshold. Fatigue is neutral — both show 0.0 minutes accumulated in the event. Over the last three matches, Majchrzak has one win and two losses (including a three-set win and a five-set defeat at grass events), while Paul has two wins and a loss (two straight-set victories followed by a 1–3 defeat), indicating Paul’s slightly steadier run at comparable levels.

Total Games Predictions

🎾
Expected Total Games in Match 23.1 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Kamil Majchrzak versus Tommy Paul. 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 Kamil Majchrzak versus Tommy Paul. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Kamil Majchrzak - Tommy Paul) -2.6 Most likely spread: -3 (Tommy Paul wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Kamil Majchrzak versus Tommy Paul. Positive values indicate Kamil Majchrzak winning more games, negative values indicate Tommy Paul winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Kamil Majchrzak versus Tommy Paul. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at about 13.21 for the match and a double faults prediction of roughly 3.98. On medium-paced hard courts the predicted aces are moderate — not as high as grass but more than clay — and the expected double faults remain low. With near-identical serve indices, no single player is expected to dominate the ace count, so the predicted aces reflect balanced serving from both men.
🎯
Expected Total Aces 13.2 Most likely: 13 aces
Expected Total Double Faults 4.0 Most likely: 3 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Kamil Majchrzak versus Tommy Paul. 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 Kamil Majchrzak versus Tommy Paul. 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 Kamil Majchrzak versus Tommy Paul. 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 Kamil Majchrzak versus Tommy Paul. 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

46.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Kamil Majchrzak's perspective)

0-2 Most likely set score (48.0%)
Probability distribution of the final set score from Kamil Majchrzak's perspective. Format: BO3.

Final Prediction

Paul’s edge is driven chiefly by his stronger recent results at the level and a better hard-court fit. Key factor to watch: Paul’s ability to translate his higher Elo/form into control on return games early — that will likely decide whether this short match goes the expected way.

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