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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

Marc Cucurella

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

Current Team
Chelsea
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Jul 22, 1998 (27)
Jersey Number
#3
League
Premier League
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Marc Cucurella
Marc Cucurella
Current profile snapshot
Current Team
Chelsea
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Jul 22, 1998 (27)
Jersey Number
#3
TactiQ Score
68.1
96% confidence
TactiQ Score v2
68.1
Form Score
65.1
Confidence
96%
Role
fullback_wingback
League
Premier League
Per 90 minutes
Goals
0.04
Assists
0.14
Key Pass
1.39
Tackles
1.81
Rating
6.88
Multi-season trend
AI Analysis
Generated May 6, 2026

A Premier League fullback/wingback sitting at 47.57 on the FQ scale — below the baseline for the role and squarely in fringe-starter territory. The most distinctive feature of this profile is not a weakness in any one dimension but the complete absence of sub-score data across finishing, creation, progression, and defense, which at 30 appearances and 2,349 minutes points to consistently low involvement across all measured phases. Key passing volume (1.34 per 90) and tackle rate (1.84 per 90) are the only meaningful production signals available.

Why this score

The FQ score of 47.57 is driven by below-baseline output across the board — all four role-specific sub-scores (finishing, creation, progression, defense) return null, meaning no dimension clears even the minimum threshold for meaningful contribution. For a modern fullback/wingback expected to contribute in at least two of these areas, the absence of any qualifying sub-score is the primary explanation for the score.

Form Trajectory

Form score (47.5) and FQ score (47.57) are separated by just -0.1, placing this player in a stable trajectory with no directional shift. This is not a temporary dip — 30 matches of data at 0.92 confidence confirm this output level is the established baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
Ali Abdi

Nearly identical FQ score (47.95) reflects a similar level of below-baseline fullback output; Abdi's profile sits marginally higher, suggesting slightly more consistent dimensional contribution.

Compare →
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

10 metrics surfaced
Appearances
32
Minutes
2529
Goals
1
Assists
4
Key passes
39
Rating
6.88
Tackles
51
Shots on target
6
Successful dribbles
1
Clean sheets
9
2 Seasons Ago
TQ 63.2Form 62.8
Previous
TQ 65.2Form 64.6
Current
TQ 65.5Form 65.1
Per 90 minutes
Goals
0.04
Assists
0.14
Key Passes
1.39
Tackles
1.81
Rating
6.88
Nordi Mukiele Mulere

Comparable FQ score (48.61) in the same positional bucket; Mukiele Mulere's higher ceiling in progressive phases historically separates him from this player's flatter profile.

Compare →
Johan Andrés Mojica Palacio

FQ score of 48.63 places Mojica Palacio in the same fringe-starter band; his attacking wingback tendencies offer a different profile shape despite the similar overall score.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2529 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
51 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
9 clean sheets are surfacing in the current live snapshot.
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
Attacking creation

1.34 key passes per 90 is the strongest available output metric, but with the creation sub-score returning null, this volume is not translating into a scoreable contribution level for the role. 0.11 assists per 90 adds limited supplementary output.

Defensive output

1.84 tackles per 90 is a visible defensive action rate, but the defense sub-score is null — meaning either consistency or success rate is insufficient to register above the baseline threshold for a Premier League fullback.

Progression

Progression sub-score is null across 2,349 minutes in the Premier League — a meaningful gap for a wingback role where carrying and passing into advanced zones is a core expectation.

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 →