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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

Amine Gouiri

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
Feb 16, 2000 (26)
Jersey Number
#9
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Amine Gouiri
Amine Gouiri
Current profile snapshot
Current Team
Olympique Marseille
Position
Centre Forward
Also: Striker
Date of Birth
Feb 16, 2000 (26)
Jersey Number
#9
TactiQ Score
71.7
73% confidence
TactiQ Score v2
71.7
Form Score
67.8
Confidence
73%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.55
Assists
0.23
Key Pass
2.35
Tackles
0.86
Rating
7.06
Multi-season trend
AI Analysis
Generated May 9, 2026

A Ligue 1 striker sitting at 67 on the TQ scale — adequate starter territory, consistently above baseline but without the elite output to push higher. Across 19 matches (1,126 minutes), he contributes 0.56 goals and 0.24 assists per 90, with a notably active 2.24 key passes per 90 that suggests involvement beyond pure finishing. No sub-score data is available to isolate specific strengths, so this read is built on aggregate production signals.

Why this score

The TQ Score of 67 reflects solid but unspectacular aggregate production — 0.56 goals per 90 and 2.24 key passes per 90 are respectable for the role, but the absence of finishing, creation, and progression sub-scores means no efficiency edge (xG overperformance, conversion rate) can be confirmed to push the score higher. The 0.69 confidence rating introduces moderate uncertainty that also caps the ceiling.

Form Trajectory

Form score of 66.18 sits 1.23 points below the TQ Score of 67.41 — within the ±5 stable band, but trending marginally downward. No meaningful concern, though the moderate confidence of 0.69 means the signal should be monitored as the sample grows.

Similar Profiles
Players with comparable scoring profiles in the same role
Serge Gnabry

Nearly identical TQ scores (67.34 vs 67.41) place them in the same mid-tier production band, though Gnabry operates in a wider attacking role with a stronger tracked sub-score profile.

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
21
Minutes
1241
Goals
7
Assists
3
Key passes
30
Rating
7.04
Tackles
11
Shots on target
16
Successful dribbles
17
Clean sheets
6
2 Seasons Ago
TQ 65.1Form 65.4
Previous
TQ 72.4Form 73.1
Current
TQ 67.6Form 67.8
Per 90 minutes
Goals
0.55
Assists
0.23
Key Passes
2.35
Tackles
0.86
Rating
7.06
Iago Aspas Juncal

Comparable aggregate output at 66.39, both functioning as active contributors beyond pure finishing; Aspas carries a longer high-confidence data history that this player has not yet matched.

Compare →
Antoine Griezmann

Similar TQ band at 66.16 with overlapping key-pass involvement profiles, but Griezmann's role is more creation-heavy whereas this player's identity leans more toward central striking.

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Current indicators
What the live season sample is surfacing right now
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
Finishing clarity

No finishing sub-score is available, and 0.56 goals per 90 is functional but not a standout rate for a Ligue 1 striker — conversion efficiency and xG relationship cannot be confirmed from current data.

Creation depth

2.24 key passes per 90 is an active number, but without a creation sub-score there is no way to confirm whether this translates to genuine chance quality or reflects high-volume, lower-value delivery.

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 →