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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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World Cup as the launch amplifier
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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

Ethan Ampadu

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

Current Team
Leeds United
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Sep 14, 2000 (25)
Jersey Number
#4
League
Premier League
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Ethan Ampadu
Ethan Ampadu
Current profile snapshot
Current Team
Leeds United
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Sep 14, 2000 (25)
Jersey Number
#4
TactiQ Score
70.3
97% confidence
TactiQ Score v2
70.3
Form Score
69.7
Confidence
97%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.03
Assists
0.03
Key Pass
0.60
Tackles
2.37
Rating
6.98
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level defensive midfielder in the Premier League sitting at an FQ Score of 48.24 — below the typical starter threshold and in the bottom half of all scored players. With 2,763 minutes across 31 matches this season, he is a regular participant but not a meaningful contributor by quantitative standards. His per-90 output of 0.03 goals, 0.03 assists, and 0.59 key passes reflects minimal attacking involvement, while 2.44 tackles per 90 is the one visible sign of defensive activity.

Why this score

The FQ Score of 48.24 is driven primarily by below-baseline aggregate production for the defensive midfielder role, with all role-specific sub-scores (defense, progression, creation) returning null — meaning no dimension has been confirmed as a strength. The available per-90 data does not surface any metric that offsets the low headline score.

Form Trajectory

Form is on a mild upward trajectory: the form score of 53.66 sits 5.4 points above the FQ Score of 48.24, just at the threshold of a meaningful positive signal. This uptick is backed by a high confidence score of 0.94, making the recent improvement reliable rather than noise-driven — though it still leaves him in below-average territory overall.

Similar Profiles
Players with comparable scoring profiles in the same role
Florentino Ibrain Morris Luís

Nearly identical FQ Score of 48.11 places him in the same fringe-starter band; both profile as defensive midfielders who accumulate minutes without generating standout sub-score contributions.

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
33
Minutes
2943
Goals
1
Assists
1
Key passes
19
Rating
6.99
Tackles
78
Shots on target
6
Successful dribbles
12
Clean sheets
6
2 Seasons Ago
TQ 60.6Form 63.1
Previous
TQ 67.9Form 68.6
Current
TQ 68.8Form 69.7
Per 90 minutes
Goals
0.03
Assists
0.03
Key Passes
0.60
Tackles
2.37
Rating
6.98
Rodrigo Bentancur Colmán

An FQ Score of 47.94 puts Bentancur Colmán in the same performance tier, though his broader career profile and pedigree suggest a higher ceiling than the current numbers reflect.

Compare →
Santiago Colombatto

The closest FQ match at 48.59, suggesting a similar level of aggregate output for the role; Colombatto's league context may differ, making direct comparison conditional on environment.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2943 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
78 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
Attacking contribution

0.03 goals and 0.03 assists per 90, with only 0.59 key passes per 90 — well below what is expected even from a defensive midfielder asked to contribute in transition or build-up phases.

Role-specific output visibility

All sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning no dimension of his game has been quantifiably confirmed as meeting positional baseline. This is a meaningful gap in the profile, not a data artefact — the overall score of 48.24 reflects this absence of multi-dimensional contribution.

Defensive midfielder baseline

A rating of 6.99 per 90 and an FQ Score below 50 indicate performance that falls short of adequate-starter level (60–69 range) for the Premier League context, where the positional bar is high.

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 →