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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

Justin Kluivert 

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

Current Team
AFC Bournemouth
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
May 5, 1999 (27)
Jersey Number
#19
League
Premier League
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Justin Kluivert 
Justin Kluivert 
Current profile snapshot
Current Team
AFC Bournemouth
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
May 5, 1999 (27)
Jersey Number
#19
TactiQ Score
67.5
70% confidence
TactiQ Score v2
67.5
Form Score
65.6
Confidence
70%
Role
attacking_midfielder_creator
League
Premier League
Per 90 minutes
Goals
0.20
Assists
—
Key Pass
2.05
Tackles
0.98
Rating
6.72
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier attacking midfielder/creator in the Premier League sitting at 58.87 on the FQ scale — adequate starter territory with clear gaps in production volume. Across 18 appearances (921 minutes), the most distinctive output is 2.05 key passes per 90, which anchors the creator profile, while 0.20 goals per 90 reflects limited direct goal threat. No sub-scores are available to pinpoint where the ceiling sits, but the composite places this player firmly below the threshold of a reliable top-flight creator.

Why this score

With all sub-scores null, the FQ score of 58.87 is driven by the composite of per-90 outputs — 2.05 key passes per 90 provides a baseline creative contribution, but 0.20 goals per 90 and the absence of assist data suggest the player is not generating sufficient end-product volume for a creator role. The moderate confidence rating of 0.66 introduces some uncertainty, meaning this score should be read as directionally reliable rather than definitive.

Form Trajectory

Form score of 55.5 sits 3.4 points below the FQ score of 58.87 — within the ±5 stable range but trending toward soft decline. The gap is not alarming, but recent output is marginally dragging the season average down rather than lifting it.

Similar Profiles
Players with comparable scoring profiles in the same role
Bernardo Mota Veiga de Carvalho e Silva

Nearly identical FQ score (59.68 vs 58.87) places them in the same adequate-starter band for a creator role, though Bernardo Mota's marginally higher score suggests a slight edge in composite output.

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

9 metrics surfaced
Appearances
18
Minutes
921
Goals
2
Key passes
21
Rating
6.72
Tackles
10
Shots on target
4
Successful dribbles
12
Clean sheets
5
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 60.2Form 59.7
Previous
TQ 72.2Form 72.2
Current
TQ 65.1Form 65.6
Per 90 minutes
Goals
0.20
Assists
—
Key Passes
2.05
Tackles
0.98
Rating
6.72
Alexis Claude Maurice

Alexis Claude Maurice (59.85) occupies the same mid-tier creator range and represents a close production peer, with a fractionally higher FQ score indicating comparable but slightly more consistent contribution.

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Christian Dannemann Eriksen

Eriksen's FQ score of 57.75 is the closest below, reflecting a similar creator profile in the adequate range; the key difference is Eriksen's established Premier League pedigree versus the uncertainty introduced by this player's null sub-score profile.

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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
Goal involvement volume

0.20 goals per 90 is below what a Premier League attacking midfielder/creator is expected to contribute directly; with assists data absent, total goal involvement cannot be confirmed but the goal rate alone is thin for the role.

Data depth

All six sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning the 58.87 FQ score rests entirely on composite per-90 metrics. This limits diagnostic confidence and makes it impossible to identify a specific production ceiling or floor.

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 →