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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.

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

Phil Foden

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

Current Team
Manchester City
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
May 28, 2000 (25)
Jersey Number
#47
League
Premier League
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Phil Foden
Phil Foden
Current profile snapshot
Current Team
Manchester City
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
May 28, 2000 (25)
Jersey Number
#47
TactiQ Score
73.0
89% confidence
TactiQ Score v2
73.0
Form Score
72.2
Confidence
89%
Role
attacking_midfielder_creator
League
Premier League
Per 90 minutes
Goals
0.34
Assists
0.14
Key Pass
2.25
Tackles
1.53
Rating
7.25
Multi-season trend
AI Analysis
Generated May 9, 2026

An attacking midfielder operating in the Premier League with a TQ Score of 68.82 — placing them in the adequate-to-good starter band, consistent with solid but not standout output for the role. The most distinctive data point is their key pass rate of 2.31 per 90, which signals genuine creative involvement, while a goal contribution of 0.34 goals and 0.15 assists per 90 reflects modest but present end-product. With 1,834 minutes across 28 matches, this is a well-evidenced profile at 0.84 confidence.

Why this score

The TQ Score of 68.82 sits in the adequate-starter range primarily because, without granular sub-scores, the composite reflects steady but unspectacular production — the 2.31 key passes per 90 suggests creative output above baseline, but the 0.34 goals per 90 and 0.15 assists per 90 do not elevate the profile into the 70+ band. The absence of sub-scores for finishing, creation, and progression prevents a higher-confidence ceiling assessment.

Form Trajectory

Form score of 67.71 sits just 1.11 points below the TQ Score of 68.82 — well within the ±5 stable band, indicating no meaningful decline or uplift. This is normal fluctuation across a 28-match sample rather than a structural trend.

Similar Profiles
Players with comparable scoring profiles in the same role
Martin Ødegaard

Ødegaard's TQ Score of 67.28 places him in the same attacking midfielder/creator band; the key difference is Ødegaard's profile carries higher name-recognition context, whereas this player's 2.31 key passes per 90 suggests comparable creative volume with a slightly higher composite score.

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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
30
Minutes
1880
Goals
7
Assists
3
Key passes
47
Rating
7.25
Tackles
32
Shots on target
19
Successful dribbles
22
Clean sheets
12
2 Seasons Ago
TQ 83.1Form 83.2
Previous
TQ 69.4Form 69.4
Current
TQ 72.3Form 72.2
Per 90 minutes
Goals
0.34
Assists
0.14
Key Passes
2.25
Tackles
1.53
Rating
7.25
Eberechi Eze

Eze's 66.06 TQ Score reflects a similar adequate-starter tier in the Premier League attacking midfield role; Eze tends to offer more direct dribbling threat, while this player's key pass rate points to a more pass-first creative profile.

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Dominik Szoboszlai

Szoboszlai's 65.55 TQ Score is the closest floor comparison in this peer group; both operate as high-volume attacking midfielders, though Szoboszlai's role at Liverpool involves greater defensive pressing contribution, reflected in his lower composite.

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Current indicators
What the live season sample is surfacing right now
Heavy minute load
1880 minutes suggest a significant current role in the squad rotation.
Strong current rating
Live rating sits at 7.25 in the current season snapshot.
Direct output
10 combined goals and assists are showing in live coverage.
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
End product

0.15 assists per 90 is modest for an attacking midfielder/creator role, where higher assist rates are a primary expectation. Combined with 0.34 goals per 90, the direct output falls short of what the 2.31 key passes per 90 creative volume might suggest — indicating a gap between chance creation and final-third conversion.

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 →