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

Tomáš Souček

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

Current Team
West Ham United
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Feb 27, 1995 (31)
Jersey Number
#28
League
Premier League
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Tomáš Souček
Tomáš Souček
Current profile snapshot
Current Team
West Ham United
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Feb 27, 1995 (31)
Jersey Number
#28
TactiQ Score
71.0
90% confidence
TactiQ Score v2
71.0
Form Score
65.6
Confidence
90%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.23
Assists
—
Key Pass
0.46
Tackles
1.80
Rating
6.77
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level defensive midfielder in the Premier League with an FQ Score of 47.62 — placing him in the bottom half of all scored players and below the threshold of a reliable starter. His most distinctive characteristic is the near-total absence of sub-score data: all role-specific dimensions (finishing, creation, progression, defense) return null, meaning his 1,865 minutes across 31 matches have not produced enough signal in any individual dimension to rate. What per-90 data exists — 1.69 tackles, 0.43 key passes, 0.24 goals — paints a picture of limited output for the position.

Why this score

The FQ Score of 47.62 is driven primarily by below-baseline overall production with no sub-score dimension clearing the threshold to register — not finishing, not defense, not creation, not progression. For a defensive midfielder, the absence of a defense sub-score is the most damaging gap: it means core responsibilities like interceptions, duels won, and ball recoveries cannot be confirmed as strengths.

Form Trajectory

Form is stable-to-slightly-declining: the form score of 45.6 sits 2.0 points below the FQ Score of 47.62, a gap within normal variance and not a meaningful concern on its own. However, a modest decline at an already low performance tier warrants monitoring.

Similar Profiles
Players with comparable scoring profiles in the same role
Rodrigo Bentancur Colmán

Nearly identical FQ Score (47.94 vs 47.62) places them at the same performance tier; Bentancur operates in a higher-profile club context which may suppress his individual metrics relative to this player.

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
33
Minutes
2045
Goals
5
Key passes
10
Rating
6.76
Tackles
40
Shots on target
12
Successful dribbles
4
Clean sheets
6
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 69.8Form 70.5
Previous
TQ 69.5Form 70.1
Current
TQ 64.9Form 65.6
Per 90 minutes
Goals
0.23
Assists
—
Key Passes
0.46
Tackles
1.80
Rating
6.77
Florentino Ibrain Morris Luís

Comparable FQ Score (48.11) and defensive midfielder profile make them close peers; Florentino's profile is typically more defense-volume oriented, which may differentiate their sub-score breakdown once data resolves.

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Santiago Colombatto

The highest of the three comparables at 48.59 FQ Score, suggesting a marginal output edge; both share the same null sub-score limitation that makes granular comparison unreliable at this stage.

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Heavy minute load
2045 minutes suggest a significant current role in the squad rotation.
Defensive activity
40 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

1.69 tackles per 90 is the only defensive metric available, and with the defense sub-score returning null, there is no confirmation that this volume translates into effective defensive contribution. For a defensive midfielder in the Premier League, this is a meaningful gap in the core role requirement.

Attacking contribution

0.43 key passes per 90 and 0.24 goals per 90 are modest figures for a position that often needs to contribute to ball progression or chance creation. With creation and progression sub-scores both null, there is no evidence of compensating value in the attacking phase.

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 →