Mallorca Spain Grass Atp 250 Round of 32

Marc Polmans vs Grigor Dimitrov: AI Prediction | Games, Spread, Aces & Double Faults

Marc Polmans

Rank: #360
32%
VS

Grigor Dimitrov

Rank: #169
68%
Expected Total Games: 24.8
Predicted Winner: Grigor Dimitrov

Why the Model Favors Grigor Dimitrov

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

Recent form +11.4 Grigor Dimitrov
Overall strength +9.2 Grigor Dimitrov
Serve & return game +7.1 Marc Polmans
Surface fit +3.1 Grigor Dimitrov
Fatigue & recent workload +1.0 Marc Polmans

Starting from an even matchup, these factors move the model to 68% for Grigor Dimitrov. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Marc Polmans

Form Index: 34.9
ELO Rating: 1516.3
Glicko2 Rating: 1576.0
Current Fatigue (minutes): 193.0
Surface Strength:
Hard: 5.4
Clay: 10.7
Grass: 8.4
Serve Rating: 95.5
Return Rating: 89.6

Grigor Dimitrov

Form Index: 28.2
ELO Rating: 1484.3
Glicko2 Rating: 1494.3
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 22.2
Clay: 12.3
Grass: 23.2
Serve Rating: 95.4
Return Rating: 85.6

Recent Matches

Marc Polmans

  • Last Match: vs Abdullah Shelbayh (2-0) grass Mallorca 112 min
  • 2nd Last Match: vs Jamie MacKenzie (2-0) grass Mallorca 81 min
  • 3rd Last Match: vs Benjamin Bonzi (0-2) grass S Hertogenbosch 79 min
  • 4th Last Match: vs Elmer Moller (0-2) hard Australian Open 174 min
  • 5th Last Match: vs Valentin Royer (0-2) hard Australian Open 174 min

Grigor Dimitrov

Head-to-Head (Last 2 Seasons)

0
Marc Polmans
vs
0
Grigor Dimitrov
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Mallorca, Spain — Round of 32 on grass at an ATP 250 event pits Marc Polmans against Grigor Dimitrov in a match that pairs a rising-serving grass player against a seasoned campaigner. The model backs Grigor Dimitrov to win (68.48%) over Marc Polmans (31.52%), with an expected total of about 24.8 games in the match.

Match Analysis

The model’s edge for Dimitrov comes mainly from recent form and overall strength: those two factors together swing the prediction most strongly toward him. Dimitrov’s higher tour rank (169 vs Polmans’ 360) and a stronger surface strength index (23.17 vs 8.36) underpin that overall advantage, even though his form_index is shown lower numerically; the explainability engine attributes recent-form momentum to Dimitrov in this matchup. Polmans earns a chunk of probability through serve and return metrics — his mean serve (95.54) and mean return (89.56) indices are robust and the model gives him a +7.1pp boost for his serving/returning profile. Looking at raw numbers, Polmans holds a slightly higher Elo (1516.26) than Dimitrov (1484.34) and carries 193 minutes of fatigue from two matches already in Mallorca, while Dimitrov arrives with no tournament minutes logged. Both players have nearly identical serve indexes (difference under 1 point) and returns differ by less than 4 points, so neither dominates purely by serve rating. Recent results diverge: Polmans has two wins at Mallorca (straight-set victories) after a loss at s’Hertogenbosch, while Dimitrov arrives off three straight losses on clay (Roland Garros, Madrid, Monte Carlo).

Total Games Predictions

🎾
Expected Total Games in Match 24.8 Most likely outcome: 24 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Marc Polmans versus Grigor Dimitrov. 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 Marc Polmans versus Grigor Dimitrov. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Marc Polmans - Grigor Dimitrov) -3.6 Most likely spread: -4 (Grigor Dimitrov wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Marc Polmans versus Grigor Dimitrov. Positive values indicate Marc Polmans winning more games, negative values indicate Grigor Dimitrov winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Marc Polmans versus Grigor Dimitrov. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction for this grass match is high — predicted aces total 14.64 — reflecting the surface’s fast, low bounce that favors free points on serve. The expected double faults count is 6.1, a moderate figure given both players’ serving competence. Neither player posts a significantly higher serve rating, so the predicted aces rely more on the grass conditions than a single dominant server in this pairing.
🎯
Expected Total Aces 14.6 Most likely: 14 aces
Expected Total Double Faults 6.1 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Marc Polmans versus Grigor Dimitrov. 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 Marc Polmans versus Grigor Dimitrov. 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 Marc Polmans versus Grigor Dimitrov. 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 Marc Polmans versus Grigor Dimitrov. 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

40.1% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Marc Polmans's perspective)

0-2 Most likely set score (38.2%)
Probability distribution of the final set score from Marc Polmans's perspective. Format: BO3.

Final Prediction

Dimitrov’s projected edge rests chiefly on the model’s top driver, recent form, supplemented by his superior ranking and surface fit. A pivotal factor to watch live is Polmans’ return game: if his strong return index translates into breaks early, he can upset the probability spread.

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