Umag Croatia Clay Atp 250 Round of 16

Luca Van Assche vs Titouan Droguet: AI Prediction | Games, Spread, Aces & Double Faults

Luca Van Assche

Rank: #86
34%
VS

Titouan Droguet

Rank: #116
66%
Expected Total Games: 23.3
Predicted Winner: Titouan Droguet

Why the Model Favors Titouan Droguet

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

Recent record by level +7.5 Titouan Droguet
Serve & return game +6.6 Titouan Droguet
Age +2.8 Luca Van Assche
Surface fit +1.4 Titouan Droguet
Recent form +1.2 Titouan Droguet

Starting from an even matchup, these factors move the model to 66% for Titouan Droguet. Computed with gradient-based attribution on our neural network — not editorial opinion. How to read this →

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Player Metrics

Luca Van Assche

Form Index: 30.9
ELO Rating: 1494.4
Glicko2 Rating: 1541.1
Current Fatigue (minutes): 169.0
Surface Strength:
Hard: 13.3
Clay: 12.6
Grass: 2.0
Serve Rating: 94.7
Return Rating: 94.6

Titouan Droguet

Form Index: 32.7
ELO Rating: 1557.5
Glicko2 Rating: 1704.8
Current Fatigue (minutes): 113.0
Surface Strength:
Hard: 16.5
Clay: 18.3
Grass: 9.1
Serve Rating: 96.4
Return Rating: 86.7

Recent Matches

Luca Van Assche

  • Last Match: vs Dusan Lajovic (2-1) clay Umag 169 min
  • 2nd Last Match: vs Marton Fucsovics (0-1) grass Wimbledon 174 min
  • 3rd Last Match: vs Brandon Nakashima (2-3) clay Roland Garros 174 min
  • 4th Last Match: vs Vilius Gaubas (3-1) clay Roland Garros 174 min
  • 5th Last Match: vs Max Schoenhaus (0-2) clay Hamburg 96 min

Titouan Droguet

  • Last Match: vs Alexander Blockx (2-1) clay Umag 113 min
  • 2nd Last Match: vs Adrian Mannarino (0-3) grass Wimbledon 174 min
  • 3rd Last Match: vs Jakub Mensik (0-3) clay Roland Garros 174 min
  • 4th Last Match: vs Patrick Kypson (1-2) clay Rome 191 min
  • 5th Last Match: vs Juan Cruz Martin Manzano (2-1) clay Rome 140 min

Head-to-Head (Last 2 Seasons)

0
Luca Van Assche
vs
0
Titouan Droguet
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

In Umag, Croatia, the round of 16 on clay at an ATP 250-level event pits Luca Van Assche against Titouan Droguet. The model favors Droguet to advance (65.87% win probability) over Van Assche (34.13%), with a predicted total of about 23.3 games in the match.

Match Analysis

The model’s edge for Titouan Droguet is driven primarily by recent record by level (+7.5 points) and the combined serve & return game (+6.6 points). Those factors reflect Droguet’s higher Elo (1557.5 vs 1494.4) and the fact he reached the same tournament phase with a more efficient, shorter last-match workload (113 minutes for Droguet versus 169 minutes for Van Assche). While Van Assche carries the better tour ranking (No. 86 vs No. 116), the Elo gap and Droguet’s recent win at Umag give him momentum in this matchup. Looking at profiles, Van Assche posts a strong mean return index (94.61) compared with Droguet’s 86.69 — a meaningful difference (>5 points) that favors Van Assche on clay, where return play is paramount. Serve indices are close (Van Assche 94.70, Droguet 96.40), so there’s no large serving gap. Surface strength slightly favors Droguet (18.32 vs 12.64), and fatigue is a factor: Van Assche has logged 169 minutes so far this week versus 113 for Droguet. Over their last three matches, both have one win at Umag and earlier straight-set losses at Wimbledon and Roland Garros; Van Assche’s recent matches included a three-set win over Dusan Lajovic, while Droguet’s win over Alexander Blockx was comparatively brief.

Total Games Predictions

🎾
Expected Total Games in Match 23.3 Most likely outcome: 23 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

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

Games Spread Predictions

📈
Expected Games Spread (Luca Van Assche - Titouan Droguet) -3.0 Most likely spread: -4 (Titouan Droguet wins 4 more games)

📊 Games Spread Probability Distribution

Distribution

Probability of each games spread outcome

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

Probability of spread ≤ X

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

Aces and Double Faults Predictions

The aces prediction for this clay match is modest — predicted aces total about 9.04 — and the double faults prediction sits at an expected 4.5. Clay tends to suppress big-serve numbers and increase pressure on second serves, so the predicted aces and expected double faults reflect slower conditions. With serve indices nearly matched, Droguet’s slightly higher serve figure may nudge a few of those aces his way but not dramatically.
🎯
Expected Total Aces 9.0 Most likely: 9 aces
Expected Total Double Faults 4.5 Most likely: 4 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Luca Van Assche versus Titouan Droguet. 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 Luca Van Assche versus Titouan Droguet. 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 Luca Van Assche versus Titouan Droguet. 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 Luca Van Assche versus Titouan Droguet. 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

34.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Luca Van Assche's perspective)

0-2 Most likely set score (43.9%)
Probability distribution of the final set score from Luca Van Assche's perspective. Format: BO3.

Final Prediction

Droguet’s projected advantage comes mainly from the model’s top driver: recent record by level, supported by a higher Elo and lighter workload in Umag. Watch the return battle — Van Assche’s superior return index on clay is the key variable that could flip momentum if he can turn pressure into breaks.

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