Estoril Portugal Clay Atp 250 Round of 16

Kyrian Jacquet vs Alexander Blockx: AI Prediction | Games, Spread, Aces & Double Faults

Kyrian Jacquet

Rank: #134
36%
VS

Alexander Blockx

Rank: #38
64%
Expected Total Games: 26.8
Predicted Winner: Alexander Blockx

Why the Model Favors Alexander Blockx

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

Surface fit +2.5 Alexander Blockx
Overall strength +2.4 Alexander Blockx
Recent record by level +2.3 Alexander Blockx
Fatigue & recent workload +1.8 Alexander Blockx
Serve & return game +1.2 Alexander Blockx

Starting from an even matchup, these factors move the model to 64% 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

Kyrian Jacquet

Form Index: 55.7
ELO Rating: 1653.2
Glicko2 Rating: 1679.2
Current Fatigue (minutes): 269.0
Surface Strength:
Hard: 5.8
Clay: 18.9
Grass: 20.3
Serve Rating: 94.8
Return Rating: 94.1

Alexander Blockx

Form Index: 44.1
ELO Rating: 1800.5
Glicko2 Rating: 1811.8
Current Fatigue (minutes): 0.0
Surface Strength:
Hard: 13.7
Clay: 32.4
Grass: 5.8
Serve Rating: 96.1
Return Rating: 86.8

Recent Matches

Kyrian Jacquet

  • Last Match: vs Daniel Merida (2-1) clay Estoril 95 min
  • 2nd Last Match: vs Taro Daniel (1-2) clay Estoril 118 min
  • 3rd Last Match: vs Goncalo Da Rosa Castro (2-0) clay Estoril 56 min
  • 4th Last Match: vs Marco Trungelliti (0-2) clay Umag 71 min
  • 5th Last Match: vs Alexander Bublik (0-3) grass Wimbledon 174 min

Alexander Blockx

Head-to-Head (Last 2 Seasons)

0
Kyrian Jacquet
vs
0
Alexander Blockx
Hard
0 - 0
Clay
0 - 0
Grass
0 - 0

Key Prediction Insights

At the Estoril clay event in Portugal, Round of 16 pits Kyrian Jacquet against Alexander Blockx in a best-of-three clay duel at an ATP 250-level tournament. The model favours Alexander Blockx to win (63.82%) over Kyrian Jacquet (36.18%), with a predicted total of about 26.83 games in the match.

Match Analysis

The model’s edge for Blockx comes mainly from surface fit and overall strength. Blockx carries a higher Elo (1800.5 vs 1653.2) and a much stronger ranking (38 vs 134), and his surface strength index (32.36) is notably above Jacquet’s (18.94), a combination that pushed the prediction toward Blockx. Recent form by level also nudges the forecast toward Blockx: while both have highs and lows, Blockx’s deeper results at higher-tier events are reflected in the model’s weighting. Fatigue and workload are also material—Jacquet has accumulated 269 minutes on court at this event while Blockx shows zero minutes in this tournament, which benefits Blockx according to the model. On serve and return, the two players are close on serve (mean serve indices 96.12 for Blockx, 94.81 for Jacquet), so neither should dominate outright with aces; however the mean return index favors Jacquet by over 7 points (94.13 vs 86.75), so his ability to neutralize Blockx’s service games is a factor to watch. Recent match patterns: Jacquet is 2-1 in his last three at Estoril (wins over Gonçalo da Rosa Castro and Daniel Merida, and a three-set loss to Taro Daniel), while Blockx is 1-2 in his last three (a straight-sets win over Coleman Wong and two tough losses to Titouan Droguet and Alexander Zverev, including marathon matches on other surfaces).

Total Games Predictions

🎾
Expected Total Games in Match 26.8 Most likely outcome: 27 games

📊 Total Games Probability Distribution

Distribution

Probability of each total games outcome

Probability distribution chart for total games in Kyrian Jacquet 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 Kyrian Jacquet 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 (Kyrian Jacquet - Alexander Blockx) -2.0 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 Kyrian Jacquet versus Alexander Blockx. Positive values indicate Kyrian Jacquet 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 Kyrian Jacquet versus Alexander Blockx. The curve shows the cumulative probability for each spread threshold.

Aces and Double Faults Predictions

The aces prediction sits at 11.76 for the match and the predicted aces figure reflects both players’ good serving indices. Clay typically reduces ace totals because of slower speed and higher bounce, so the predicted aces are moderate rather than sky-high. The double faults prediction is 6.04 expected double faults; longer rallies and physical wear on clay often lift double faults, especially if Jacquet’s accumulated minutes catch up to him. Because neither player has a dramatically superior serve index, the expected aces count should be shared rather than one-sided.
🎯
Expected Total Aces 11.8 Most likely: 11 aces
Expected Total Double Faults 6.0 Most likely: 6 double faults

🎯 Aces Probability Distribution

Distribution

Probability of each ace count outcome

Probability distribution chart for total aces in Kyrian Jacquet 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 Kyrian Jacquet 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 Kyrian Jacquet 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 Kyrian Jacquet 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

45.0% Predicted: No tiebreak

Exact Score Distribution BO3

Probability of each set-by-set outcome (Kyrian Jacquet's perspective)

0-2 Most likely set score (37.6%)
Probability distribution of the final set score from Kyrian Jacquet's perspective. Format: BO3.

Final Prediction

Blockx’s edge is driven principally by surface fit (the top model key factor) and overall strength metrics. The critical subplot will be whether Jacquet’s strong return game can convert break chances early against Blockx’s consistent serving; that duel will likely decide the tally of games.

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