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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

Pierre-Emerick Aubameyang

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

Current Team
Olympique Marseille
Position
Centre Forward
Also: Striker
Date of Birth
Jun 18, 1989 (36)
Jersey Number
#17
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Pierre-Emerick Aubameyang
Pierre-Emerick Aubameyang
Current profile snapshot
Current Team
Olympique Marseille
Position
Centre Forward
Also: Striker
Date of Birth
Jun 18, 1989 (36)
Jersey Number
#17
TactiQ Score
70.0
89% confidence
TactiQ Score v2
70.0
Form Score
65.3
Confidence
89%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.41
Assists
0.23
Key Pass
1.20
Tackles
0.37
Rating
6.96
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Ligue 1 striker sitting at 62.88 — adequate by baseline standards but without standout characteristics in any measurable dimension. His per-90 output of 0.42 goals and 0.24 assists reflects a contributor rather than a primary threat, while 1.22 key passes per 90 suggests some involvement in build-up play beyond pure finishing. No sub-score data is available, which limits how precisely his profile can be defined.

Why this score

The 62.88 FQ Score reflects a player meeting — but not exceeding — the baseline for a Ligue 1 striker. With all sub-scores null, the score is driven by aggregate per-90 output: 0.42 goals and 0.24 assists per 90 across 1,912 minutes represent functional but unspectacular production, and the absence of finishing or xG data prevents any upward adjustment.

Form Trajectory

Form score of 63.13 sits just 0.25 points above the FQ score of 62.88 — a delta well within the ±5 stable range. There is no meaningful upward or downward momentum; performance has been consistent and predictable across the current sample.

Similar Profiles
Players with comparable scoring profiles in the same role
Carlton Morris

Morris scores 63.06 — nearly identical to this player's 62.88 — reflecting a similar profile of functional striker output without elite finishing distinction; Morris operates in the Championship rather than Ligue 1, making the difficulty context different.

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
29
Minutes
1958
Goals
9
Assists
5
Key passes
26
Rating
6.96
Tackles
8
Shots on target
28
Successful dribbles
11
Clean sheets
6
2 Seasons Ago
TQ 64.8Form 66.0
Previous
TQ 72.5Form 73.4
Current
TQ 64.6Form 65.3
Per 90 minutes
Goals
0.41
Assists
0.23
Key Passes
1.20
Tackles
0.37
Rating
6.96
Raúl Alonso Jiménez Rodríguez

Jiménez's 62.17 FQ Score places him in the same adequate-starter band, with comparable aggregate production; Jiménez brings a more established top-league pedigree, suggesting this player's ceiling may still be less proven at the highest level.

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Jean-Philippe Mateta

Mateta's 63.67 is the closest score in this comparable set and he is also a Ligue 1-linked striker profile; Mateta has shown higher-variance output in certain periods, whereas this player's form delta of +0.25 signals more consistent but less explosive production.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1958 minutes suggest a significant current role in the squad rotation.
Direct output
14 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
Goal threat

0.42 goals per 90 across 28 appearances is below what elite strikers in Ligue 1 typically produce. Without finishing sub-score or xG data, it is unclear whether this reflects poor conversion or limited shot volume, but the raw output does not distinguish him as a primary scorer.

Creative output

1.22 key passes per 90 is a notable number for a striker, but with no creation sub-score available, it is impossible to assess quality or shot-creation efficiency — the figure may reflect volume without meaningful end product.

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 →