Mallorca Spain Grass Atp 250 Quarterfinals

Grigor Dimitrov vs Alejandro Davidovich Fokina: AI Prediction | Games, Spread, Aces & Double Faults

Grigor Dimitrov

Rank: #169
26%
VS
Expected Total Games: 23.7
Predicted Winner: Alejandro Davidovich Fokina

Why the Model Favors Alejandro Davidovich Fokina

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

Recent record by level +6.6 Alejandro Davidovich Fokina
Overall strength +5.2 Alejandro Davidovich Fokina
Surface fit +4.6 Alejandro Davidovich Fokina
Age +3.9 Alejandro Davidovich Fokina
Recent form +2.5 Alejandro Davidovich Fokina

Starting from an even matchup, these factors move the model to 74% for Alejandro Davidovich Fokina. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Grigor Dimitrov

Form Index: 19.5
ELO Rating: 1520.6
Glicko2 Rating: 1560.4
Current Fatigue (minutes): 181.0
Surface Strength:
Hard: 22.2
Clay: 12.3
Grass: 24.6
Serve Rating: 96.3
Return Rating: 92.2

Alejandro Davidovich Fokina

Form Index: 40.0
ELO Rating: 1698.7
Glicko2 Rating: 1736.2
Current Fatigue (minutes): 87.0
Surface Strength:
Hard: 29.7
Clay: 25.7
Grass: 28.1
Serve Rating: 95.9
Return Rating: 88.4

Recent Matches

Grigor Dimitrov

Alejandro Davidovich Fokina

Head-to-Head (Last 2 Seasons)

0
Grigor Dimitrov
vs
0
Alejandro Davidovich Fokina
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

Mallorca quarterfinals, grass courts in Spain — a best-of-three match at an ATP 250 event where Alejandro Davidovich Fokina is heavily favored. The model projects Davidovich to win with a 74.0% probability to Dimitrov’s 26.0%, and expects about 23.7 total games in the match.

Match Analysis

The model's edge for Davidovich stems primarily from recent record by level and overall strength, with surface fit, age and recent form also pushing the needle his way. On paper the gap in class is clear: Davidovich sits at No. 22 versus Dimitrov at No. 169, and his Elo (1698.7) is substantially higher than Dimitrov’s (1520.6), reflecting stronger results against higher-level opposition. Form indices reinforce that gap — Davidovich’s 40.0 versus Dimitrov’s 19.5 — indicating the Spaniard is carrying noticeably better recent momentum into this week. Surface and workload also matter on fast grass. Their surface strength indexes are modest but slightly favor Davidovich (28.1) over Dimitrov (24.6). Fatigue swings sharply toward Davidovich: he has logged 87 minutes in the tournament versus Dimitrov’s 181, so physical freshness is on the Spaniard’s side. Serve and return profiles are comparable — mean serve indices are essentially level and the return gap is under five points — so neither player holds a commanding serving advantage on paper. Looking at the last three matches, both arrive with two wins and one loss in recent outings. Dimitrov’s wins here in Mallorca were straight sets but follow a long clay battle at Roland Garros, while Davidovich has mixed results on grass this season including a straight-sets win last round and one recent loss to a top opponent in London.

Total Games Predictions

🎾
Expected Total Games in Match 23.7 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Grigor Dimitrov - Alejandro Davidovich Fokina) -1.5 Most likely spread: -2 (Alejandro Davidovich Fokina wins 2 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this grass match is elevated: the model’s predicted aces total is 12.69. The expected double faults are 5.54. Grass typically boosts ace counts due to its low, fast bounce, so the predicted aces reflect that surface effect. Neither player posts a significantly higher serve rating, so the ace count should come from both delivering faster, flatter serves rather than one dominant server skewing the numbers.
🎯
Expected Total Aces 12.7 Most likely: 12 aces
Expected Total Double Faults 5.5 Most likely: 5 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Grigor Dimitrov versus Alejandro Davidovich Fokina. 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 Grigor Dimitrov versus Alejandro Davidovich Fokina. 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 Grigor Dimitrov versus Alejandro Davidovich Fokina. 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 Grigor Dimitrov versus Alejandro Davidovich Fokina. 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

32.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Grigor Dimitrov's perspective)

0-2 Most likely set score (45.0%)
Probability distribution of the final set score from Grigor Dimitrov's perspective. Format: BO3.

Final Prediction

Davidovich’s edge is driven most by recent record by level (the top model factor) and by an overall stronger profile on paper — higher ranking, Elo and fresher legs. Key things to watch: Dimitrov’s ability to withstand Davidovich’s pace early in rallies and whether the Bulgarian’s heavier workload leaves him short in key service games.

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