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

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Launch
World Cup as the launch amplifier
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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

Kevin De Bruyne 

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

Current Team
Napoli
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jun 28, 1991 (34)
Jersey Number
#11
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Kevin De Bruyne 
Kevin De Bruyne 
Current profile snapshot
Current Team
Napoli
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jun 28, 1991 (34)
Jersey Number
#11
TactiQ Score
76.9
69% confidenceCalibrating
TactiQ Score v2
76.9
Calibrating
Form Score
68.0
Confidence
69%
Role
attacking_midfielder_creator
League
Serie A
Per 90 minutes
Goals
0.43
Assists
0.09
Key Pass
2.64
Tackles
0.77
Rating
7.29
AI Analysis
Generated Apr 30, 2026

An adequate-starter attacking midfielder in Serie A sitting at 63.51 on the FQ scale — functional in the role but without a standout production dimension. His 2.62 key passes per 90 is the most distinctive number in his profile, suggesting a player whose primary value is in chance creation rather than direct output. At 0.45 goals per 90 with just 0.09 assists per 90, the volume of end-product is thin for a creator role.

Why this score

The FQ score of 63.51 reflects a player who meets baseline expectations for an attacking midfielder without excelling in any measurable dimension — all sub-scores are absent from the data, but the per-90 profile points to modest assist and goal returns relative to the key pass volume. The gap between chance creation (2.62 key passes per 90) and direct output (0.09 assists per 90) is the clearest signal of where value is being left on the pitch.

Form Trajectory

Form score of 56.93 sits 6.6 points below the FQ score of 63.51, signalling a soft decline in recent matches. This is a meaningful directional signal, though data confidence of 0.66 and a snapshot that is approximately 2 days old introduce some uncertainty around the precise magnitude.

Similar Profiles
Players with comparable scoring profiles in the same role
Morgan Gibbs-White

Both profile as attacking midfielders in the low-to-mid 60s FQ range (Gibbs-White 64.72); Gibbs-White operates in the Premier League, which typically implies a higher baseline difficulty for the same score.

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
16
Minutes
1058
Goals
5
Assists
1
Key passes
31
Rating
7.29
Tackles
9
Shots on target
11
Successful dribbles
9
Clean sheets
6
Multi-season trend
2 Seasons Ago
TQ 83.8Form 84.3
Previous
TQ 76.7Form 77.0
Current
TQ 67.8Form 68.0
Per 90 minutes
Goals
0.43
Assists
0.09
Key Passes
2.64
Tackles
0.77
Rating
7.29
Andrej Kramarić

Kramarić scores 64.98 FQ and shares the mid-tier creator profile, though his output skews more toward direct goal contribution than pure chance creation.

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Julian Brandt

Brandt at 65.2 FQ is the closest ceiling comparable — a key-pass-volume creator whose assist-to-chance ratio has similarly been a recurring efficiency question.

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Current indicators
What the live season sample is surfacing right now
Strong current rating
Live rating sits at 7.29 in the current season snapshot.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
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
Assist conversion

0.09 assists per 90 against 2.62 key passes per 90 implies a very low conversion rate from chance creation to recorded assists — a meaningful gap for a player whose primary role is to create.

Direct goal contribution

0.45 goals per 90 and 0.09 assists per 90 combine for 0.54 direct contributions per 90, which sits below what is typically expected of a starting attacking midfielder in a top league context.

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 →