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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

Hassane Kamara

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

Current Team
Udinese
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Mar 5, 1994 (32)
Jersey Number
#11
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Hassane Kamara
Hassane Kamara
Current profile snapshot
Current Team
Udinese
Position
Left Back
Also: Full Back / Wing Back
Date of Birth
Mar 5, 1994 (32)
Jersey Number
#11
TactiQ Score
65.5
83% confidence
TactiQ Score v2
65.5
Form Score
64.7
Confidence
83%
Role
fullback_wingback
League
Serie A
Per 90 minutes
Goals
—
Assists
0.10
Key Pass
1.16
Tackles
1.61
Rating
6.82
Multi-season trend
AI Analysis
Generated May 6, 2026

A Serie A fullback/wingback sitting at 47.36 on the FQ scale — below the 50-point baseline for typical performers and well short of the 60-69 range expected of a consistent starter. Across 22 matches and 1,528 minutes this season, no dimensional sub-score (defense, progression, creation, finishing) is available, meaning there is no identifiable area of standout production. The most notable per-90 figure is 1.71 tackles, which provides a partial defensive footprint but insufficient data to draw firm positional conclusions.

Why this score

The FQ score of 47.36 is driven primarily by the absence of measurable output across all role-critical dimensions — defense, progression, and creation sub-scores are all null, indicating genuinely sparse or uncaptured production rather than a single weak area pulling the score down. For a fullback/wingback, where defensive actions and progressive ball-carrying are the core value drivers, the lack of any sub-score above baseline is the defining factor.

Form Trajectory

Form score of 44.4 sits 3.0 points below the FQ score of 47.36 — within the ±5 stable range, but directionally negative. This is a stable-to-softly-declining picture rather than a sharp drop, with no evidence of a recent upturn.

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

Comparable FQ score of 47.95 places Abdi in the same below-baseline tier for the fullback/wingback role; the marginal gap of 0.59 FQ points suggests near-identical overall output levels with no clear differentiator available from sub-score data.

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
25
Minutes
1790
Assists
2
Key passes
23
Rating
6.82
Tackles
32
Shots on target
5
Successful dribbles
17
Clean sheets
8
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 65.5Form 65.2
Previous
TQ 66.5Form 66.3
Current
TQ 64.9Form 64.7
Per 90 minutes
Goals
—
Assists
0.10
Key Passes
1.16
Tackles
1.61
Rating
6.82
Temitayo Olufisayo Olaoluwa Aina

Aina's FQ score of 46.18 is the closest match below this player's 47.36, reflecting a similar fringe-starter profile at fullback/wingback, though Aina's broader top-league experience may provide a different contextual baseline.

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Nordi Mukiele Mulere

Mukiele's 48.61 FQ score sits just above this player's mark, making him the ceiling comparator in this peer group; both occupy the same below-50 band, but Mukiele's marginal edge may reflect slightly more consistent positional output.

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Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
32 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
8 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
Defensive output

1.71 tackles per 90 is the only available defensive metric, and with the defense sub-score null, it is impossible to confirm whether this reflects genuine defensive contribution or simply a low-volume role. For a fullback/wingback, this is a meaningful gap in the profile.

Creative contribution

1 key pass per 90 and 0.06 assists per 90 are modest figures for a wingback role, where attacking output is often a primary value driver. No creation sub-score is available to contextualise these numbers further.

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 →