Winston Salem NC, U.S.A. Hard Atp 250 Round of 32

Mees Rottgering vs Tomas Machac: AI Prediction | Games, Spread, Aces & Double Faults

Mees Rottgering

Rank: #418
21%
VS

Tomas Machac

Rank: #62
79%
Expected Total Games: 21.5
Predicted Winner: Tomas Machac

Why the Model Favors Tomas Machac

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

Overall strength +12.7 Tomas Machac
Recent record by level +9.5 Tomas Machac
Surface fit +4.4 Tomas Machac
Age +2.0 Mees Rottgering
Fatigue & recent workload +1.4 Tomas Machac

Starting from an even matchup, these factors move the model to 79% for Tomas Machac. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Metrics

Mees Rottgering

Form Index: 49.8
ELO Rating: 1559.3
Glicko2 Rating: 1688.8
Current Fatigue (minutes): 290.0
Surface Strength:
Hard: 14.8
Clay: 9.8
Grass: 3.7
Serve Rating: 95.9
Return Rating: 92.4

Tomas Machac

Form Index: 37.6
ELO Rating: 1715.7
Glicko2 Rating: 1777.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 26.4
Clay: 24.8
Grass: 15.9
Serve Rating: 95.5
Return Rating: 86.4

Recent Matches

Mees Rottgering

  • Last Match: vs Jan Choinski (2-1) hard Winston Salem 130 min
  • 2nd Last Match: vs Hugo Grenier (2-0) hard Winston Salem 107 min
  • 3rd Last Match: vs Hunter Heck (2-0) hard Winston Salem 53 min
  • 4th Last Match: vs Benjamin Bonzi (0-2) grass S Hertogenbosch 81 min
  • 5th Last Match: vs Quentin Halys (1-2) hard Rotterdam 113 min

Tomas Machac

Head-to-Head (Last 2 Seasons)

0
Mees Rottgering
vs
0
Tomas Machac
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Winston-Salem, North Carolina. Round of 32 at a 250-level hard court event. The model favors Tomas Machac to win, with a 79.12% probability versus 20.88% for Mees Rottgering. The projected total number of games is 21.49.

Match Analysis

The model’s edge for Machac stems mainly from overall strength (+12.7 percentage points) and recent record by level (+9.5 points), with surface fit (+4.4 points) also nudging the prediction toward him. Machac’s higher Elo (1715.7 vs 1559.3) and much stronger tour ranking (62 versus 418) underpin that overall strength advantage. The surface strength index likewise favors Machac (26.36 vs 14.76), which is reflected in the model attributing extra probability to him on hard courts. Age gives a small tilt to Rottgering (+2.0 points) according to the explainability output. Form and workload tell a mixed story. Rottgering’s form index is higher (49.8 vs 37.6) and he arrives with momentum, having won three straight matches at Winston-Salem, including two straight-set wins and a long 130-minute battle. Machac’s recent results are less consistent, with one win and two losses across his last three, including defeats to higher-ranked opponents in Cincinnati and Roland Garros. Fatigue and recent workload slightly favor Machac (+1.4 points) since Rottgering has already logged 290 minutes on court at this event. Serve profiles are similar, with mean serve indices nearly identical (95.95 vs 95.51), so no clear serving edge emerges. The mean return index gap is notable, with Rottgering at 92.40 and Machac at 86.37, which could matter in short matches.

Total Games Predictions

🎾
Expected Total Games in Match 21.5 Most likely outcome: 20 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Mees Rottgering versus Tomas Machac. 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 Mees Rottgering versus Tomas Machac. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Mees Rottgering - Tomas Machac) -3.6 Most likely spread: -4 (Tomas Machac wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Mees Rottgering versus Tomas Machac. Positive values indicate Mees Rottgering winning more games, negative values indicate Tomas Machac winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Mees Rottgering versus Tomas Machac. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction for the match is 8.57 total, with predicted aces split 3.1 for Rottgering and 5.5 for Machac. The double faults prediction is 5.1 total, with expected double faults of 2.5 for Rottgering and 2.61 for Machac. Hard courts usually produce a moderate number of aces, so these predicted aces align with surface expectations. Neither player has a significantly higher serve rating, so the per player ace projections remain the best quantification of the serve gap.
🎯
Expected Total Aces 8.6 Most likely: 6 aces Per player: Mees Rottgering 3.1 + Tomas Machac 5.5
Expected Total Double Faults 5.1 Most likely: 4 double faults Per player: Mees Rottgering 2.5 + Tomas Machac 2.6

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Mees Rottgering versus Tomas Machac. 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 Mees Rottgering versus Tomas Machac. The curve shows the cumulative probability for each aces threshold.

🎯 Aces by Player

Mees Rottgering

Expected 3.1 aces

Probability distribution for the aces Mees Rottgering serves in this match.
Tomas Machac

Expected 5.5 aces

Probability distribution for the aces Tomas Machac serves in this match.

Double Faults Probability Distribution

Distribution

Probability of each double fault count outcome

Probability distribution chart for double faults in Mees Rottgering versus Tomas Machac. The chart shows the predicted probability for each double-fault count.
Cumulative Probability (CDF)

Probability of double faults ≤ X

Cumulative distribution function chart for double faults in Mees Rottgering versus Tomas Machac. The curve shows the cumulative probability for each double faults threshold.

Double Faults by Player

Mees Rottgering

Expected 2.5 double faults

Probability distribution for the double faults Mees Rottgering serves in this match.
Tomas Machac

Expected 2.6 double faults

Probability distribution for the double faults Tomas Machac serves in this match.

🎯 Match Format Predictions

Tiebreak Likelihood

Probability that any tiebreak is played in this match

46.8% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Mees Rottgering's perspective)

0-2 Most likely set score (52.4%)
Probability distribution of the final set score from Mees Rottgering's perspective. Format: BO3.

Final Prediction

Machac’s edge is driven primarily by overall strength as measured by Elo and ranking, reinforced by a better surface fit. Watch Rottgering’s return game and Machac’s ability to convert his surface advantage early, as those factors will likely determine whether this becomes a short match or a closer contest.

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