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TactiQ
Football Intelligence
Founding Beta

TactiQ is built around Player & Club Data, Match Intelligence, Predictive Modeling, and Research & Visualization — understand the system, not the surface.

Core
Club football as the permanent base
Launch
World Cup as the launch amplifier
Transparency
Public roadmap and visible system progress
The standard
Methodology →

Every score is deterministic, evidence-gated, and confidence-labelled. Football intelligence should be explainable — not a black box with a number on the front. The methodology is part of the product, not a legal page.

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Player Profile

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Player Profile

Pascal Struijk

TactiQ Score, per-90 performance stats, and multi-season form — with direct routes into compare and rankings.

Current Team
Leeds United
Position
Centre Back
Also: Defender
Date of Birth
Aug 11, 1999 (26)
Jersey Number
#5
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Pascal Struijk
Pascal Struijk
Current profile snapshot
Current Team
Leeds United
Position
Centre Back
Also: Defender
Date of Birth
Aug 11, 1999 (26)
Jersey Number
#5
TactiQ Score
73.4
95% confidence
TactiQ Score v2
73.4
Form Score
71.7
Confidence
95%
Role
center_back
League
Premier League
Per 90 minutes
Goals
—
Assists
0.03
Key Pass
0.39
Tackles
1.16
Rating
6.90
Multi-season trend
AI Analysis
Generated May 6, 2026

A Premier League center-back sitting at 53.49 on the FQ scale — typical performer territory, below the baseline expected of a regular starter at this level. Across 31 appearances (2,701 minutes), the most notable output is a 6.93 average match rating and 1.2 tackles per 90, but the absence of granular sub-score data limits a full positional read. No dimension stands out as a clear strength.

Why this score

With all sub-scores (defense, progression, physical duels) returning null, the FQ Score of 53.49 is driven primarily by surface-level output metrics — a modest 1.2 tackles per 90 and 0.4 key passes per 90 that do not suggest standout contribution in any role-defining area for a center-back. The absence of a defense sub-score is the single biggest gap in evaluating this player's true positional value.

Form Trajectory

Form score of 51.08 sits 2.4 points below the FQ score of 53.49 — within the stable range (±5), indicating no meaningful acceleration or decline. Output has been consistent but flat across the season.

Similar Profiles
Players with comparable scoring profiles in the same role
Cristian Gabriel Romero

Both sit in the 53–55 FQ range as Premier League center-backs; Romero's score reflects a more physically aggressive profile, whereas this player's data lacks the sub-score visibility to confirm a similar defensive intensity.

Compare →
Ibrahima Konaté
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

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Compare
Put this player next to another and find the real edges.

TactiQ Score, form, confidence, and season stats compared side by side — instantly.

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Methodology
Understand exactly how this score was built.

Every TactiQ Score is deterministic and traceable. Read the full methodology behind the numbers.

View Methodology →
Latest available season snapshot

Live statistics currently available for this profile

9 metrics surfaced
Appearances
33
Minutes
2847
Assists
1
Key passes
12
Rating
6.90
Tackles
37
Shots on target
6
Successful dribbles
3
Clean sheets
7
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 66.7Form 67.0
Previous
TQ 71.2Form 71.8
Current
TQ 71.0Form 71.7
Per 90 minutes
Goals
—
Assists
0.03
Key Passes
0.39
Tackles
1.16
Rating
6.90

Konaté's 55.09 FQ score is marginally higher and is underpinned by stronger aerial and physical duel metrics typical of his profile — a ceiling this player has not demonstrably reached based on available data.

Compare →
Daley Blind

Blind's 56.3 FQ score reflects a possession-oriented center-back role; this player's 0.4 key passes per 90 suggests a similarly limited creative output, though Blind's progression metrics are better documented.

Compare →
Heavy minute load
2847 minutes suggest a significant current role in the squad rotation.
Defensive activity
37 tackles indicate active intervention volume in the current season sample.
Strengths
Where this player is genuinely above baseline
No clearly elite traits identified in current data.
Watchpoints
Real gaps relative to this player's role
Defensive output

1.2 tackles per 90 is the only available defensive volume metric, and with no defense sub-score calculable, there is no evidence of standout duel-winning, interception, or aerial output — all primary benchmarks for a Premier League center-back.

Progression and creation

0.4 key passes per 90 and 0.03 assists per 90 indicate minimal contribution to build-up play, which matters for a modern center-back expected to drive play out from the back.

Reading the score

What each number means

TactiQ Score

A 0–100 measure of overall quality. Combines statistical output with league difficulty, multi-season weighting, and a consistency factor. Target range for strong players: 70–85.

Form Score

Weighted toward recent matches. Can diverge from the TactiQ Score when current form is meaningfully stronger or weaker than the multi-season average.

Confidence

How much evidence supports this score. Lower confidence means thinner data — fewer seasons, fewer appearances, or gaps in coverage. A provisional score is real signal with appropriate caveats.

Methodology

TactiQ Scores are deterministic — given the same evidence, they produce the same output. The evidence packet system, confidence labels, and publication gate are all explained in full.

Read the full methodology →