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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

Jean-Philippe Mateta

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

Current Team
Crystal Palace
Position
Centre Forward
Also: Striker
Date of Birth
Jun 28, 1997 (28)
Jersey Number
#14
League
Premier League
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Jean-Philippe Mateta
Jean-Philippe Mateta
Current profile snapshot
Current Team
Crystal Palace
Position
Centre Forward
Also: Striker
Date of Birth
Jun 28, 1997 (28)
Jersey Number
#14
TactiQ Score
71.3
89% confidence
TactiQ Score v2
71.3
Form Score
66.8
Confidence
89%
Role
striker
League
Premier League
Per 90 minutes
Goals
0.43
Assists
—
Key Pass
0.34
Tackles
0.52
Rating
6.77
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Premier League striker sitting at an FQ Score of 63.67 — adequate starter territory, consistent but without the elite efficiency or multi-dimensional output that separates top-flight forwards. Across 27 matches and 2,071 minutes this season, he averages 0.43 goals per 90, a volume that meets the positional baseline without exceeding it. No single dimension of his game stands out as a clear lever for a higher ceiling.

Why this score

With all sub-scores (finishing, creation, progression, defense) returning null, the FQ Score of 63.67 is driven primarily by his per-90 output profile — 0.43 goals and 0.3 key passes per 90 — which places him at the lower end of adequate for a Premier League striker without evidence of elite conversion or creative contribution. The absence of granular dimensional data means the score reflects volume and consistency rather than efficiency.

Form Trajectory

Form score of 62.35 sits just 1.32 points below the FQ Score of 63.67 — well within the ±5 stable band — indicating no meaningful upward or downward trend. Performance is consistent but shows no signs of a breakout run.

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

Morris carries a near-identical FQ Score of 63.06, reflecting a similar profile of reliable but non-elite Premier League striking; the key difference is positional context and how each player's volume is distributed across their respective teams' systems.

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
29
Minutes
2121
Goals
11
Key passes
8
Rating
6.77
Tackles
12
Shots on target
31
Successful dribbles
14
Clean sheets
10
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 73.2Form 75.3
Previous
TQ 70.8Form 72.0
Current
TQ 65.6Form 66.8
Per 90 minutes
Goals
0.43
Assists
—
Key Passes
0.34
Tackles
0.52
Rating
6.77
Pierre-Emerick Aubameyang

Aubameyang's FQ Score of 62.88 aligns closely, pointing to a comparable tier of current output; however, Aubameyang's career arc and historical peak represent a decline from a much higher baseline, whereas this player's profile reflects a more stable mid-tier ceiling.

Compare →
Raúl Alonso Jiménez Rodríguez

Jiménez scores 62.17, making him the closest output peer in this comparable set; both operate as hold-up-capable strikers in the Premier League, though Jiménez's link-play reputation adds a creative dimension not clearly evidenced in this player's 0.3 key passes per 90.

Compare →
Heavy minute load
2121 minutes suggest a significant current role in the squad rotation.
Direct output
11 combined goals and assists are showing in live coverage.
Defensive outcomes
10 clean sheets are surfacing in the current live snapshot.
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 output

0.43 goals per 90 across 2,071 minutes meets the striker baseline but falls short of the rates typically associated with top-flight forwards pushing into the 70+ FQ range. There is no evidence of elite conversion efficiency to compensate for the moderate volume.

Creative contribution

0.3 key passes per 90 is a limited creative return for a striker in the Premier League, suggesting he is not a consistent link-play or chance-creation option beyond his primary finishing role.

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 →