Umag Croatia Clay Atp 250 Round of 32

Titouan Droguet vs Alexander Blockx: AI Prediction | Games, Spread, Aces & Double Faults

Titouan Droguet

Rank: #116
33%
VS

Alexander Blockx

Rank: #37
67%
Expected Total Games: 25.1
Predicted Winner: Alexander Blockx

Why the Model Favors Alexander Blockx

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

Recent form +8.8 Alexander Blockx
Overall strength +3.3 Alexander Blockx
Serve & return game +3.1 Alexander Blockx
Surface fit +2.1 Titouan Droguet
Overall record & opposition quality +1.7 Alexander Blockx

Starting from an even matchup, these factors move the model to 67% for Alexander Blockx. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Titouan Droguet

Form Index: 30.9
ELO Rating: 1530.9
Glicko2 Rating: 1673.2
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 16.5
Clay: 16.4
Grass: 9.1
Serve Rating: 97.2
Return Rating: 92.8

Alexander Blockx

Form Index: 47.1
ELO Rating: 1827.0
Glicko2 Rating: 1838.7
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.4
Clay: 34.3
Grass: 5.8
Serve Rating: 96.2
Return Rating: 86.8

Recent Matches

Titouan Droguet

  • Last Match: vs Adrian Mannarino (0-3) grass Wimbledon 174 min
  • 2nd Last Match: vs Jakub Mensik (0-3) clay Roland Garros 174 min
  • 3rd Last Match: vs Patrick Kypson (1-2) clay Rome 191 min
  • 4th Last Match: vs Juan Cruz Martin Manzano (2-1) clay Rome 140 min
  • 5th Last Match: vs Benjamin Bonzi (1-2) clay Madrid 152 min

Alexander Blockx

Head-to-Head (Last 2 Seasons)

0
Titouan Droguet
vs
0
Alexander Blockx
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Umag, Croatia, Round of 32 on clay at an ATP 250 event, Alexander Blockx is the model favorite over Titouan Droguet. The prediction gives Blockx a 67.0% chance to win against Droguet’s 33.0%, with a projected total of about 25.05 games in the match.

Match Analysis

The model’s edge for Blockx stems primarily from recent form (+8.8 percentage points) and overall strength (+3.3). Blockx arrives with a higher form index (47.15 vs 30.88) and a better recent slate (one straight-sets win at Roland Garros and competitive showings at Wimbledon and Rome), while Droguet has struggled in his last three outings (three losses, including straight-set defeats at Wimbledon and Roland Garros). Fatigue is neutral for both players (0.0 minutes in-tournament). Overall strength and headroom favor Blockx: he is ranked 37 with an Elo of 1827, versus Droguet at rank 116 and Elo 1531. The model also credits Blockx slightly on serve & return (+3.1), though the raw numbers are mixed: their mean serve indices are close (Droguet 97.17, Blockx 96.20 — difference under 5 points), while Droguet holds a clear edge in the mean return index (92.83 vs 86.85, a >5-point gap). Surface metrics are interesting: the model flags a small surface-fit edge for Droguet (+2.1) despite Droguet’s lower surface strength index (16.41) compared with Blockx (34.26). Recent match patterns reinforce the contrast — Droguet has not converted his opportunities in the last three matches, while Blockx has shown more consistency.

Total Games Predictions

🎾
Expected Total Games in Match 25.1 Most likely outcome: 25 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Titouan Droguet versus Alexander Blockx. 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 Titouan Droguet versus Alexander Blockx. The curve rises from 0% to 100%, showing the cumulative probability for each games total threshold.

Games Spread Predictions

📈
Expected Games Spread (Titouan Droguet - Alexander Blockx) -2.6 Most likely spread: -3 (Alexander Blockx wins 3 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

Probability distribution chart for games spread in Titouan Droguet versus Alexander Blockx. Positive values indicate Titouan Droguet winning more games, negative values indicate Alexander Blockx winning more games.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function chart for games spread in Titouan Droguet versus Alexander Blockx. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

Aces prediction: the match is expected to produce about 12.38 aces in total, while the predicted aces figure is tempered by clay’s slow pace. Double faults prediction: expected double faults are 4.44 for the match; clay’s longer rallies can raise error counts late in points. Neither player has a significantly higher serve rating, so the ace count should reflect two comparable servers on a clay court.
🎯
Expected Total Aces 12.4 Most likely: 12 aces
Expected Total Double Faults 4.4 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Titouan Droguet versus Alexander Blockx. 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 Titouan Droguet versus Alexander Blockx. 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 Titouan Droguet versus Alexander Blockx. 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 Titouan Droguet versus Alexander Blockx. 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

45.3% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Titouan Droguet's perspective)

0-2 Most likely set score (49.8%)
Probability distribution of the final set score from Titouan Droguet's perspective. Format: BO3.

Final Prediction

Blockx’s advantage is driven chiefly by recent form and higher overall strength, which the model identifies as the decisive factors. Key factor to watch: Droguet’s return quality — if he can convert that return edge into breaks early, he can upset the probabilities.

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