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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

Richarlison

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

Current Team
Tottenham Hotspur
Position
Centre Forward
Also: Striker
Date of Birth
May 10, 1997 (29)
Jersey Number
#9
League
Premier League
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Richarlison
Richarlison
Current profile snapshot
Current Team
Tottenham Hotspur
Position
Centre Forward
Also: Striker
Date of Birth
May 10, 1997 (29)
Jersey Number
#9
TactiQ Score
71.8
86% confidence
TactiQ Score v2
71.8
Form Score
70.7
Confidence
86%
Role
striker
League
Premier League
Per 90 minutes
Goals
0.53
Assists
0.26
Key Pass
0.90
Tackles
1.32
Rating
6.95
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier Premier League striker sitting at 61.48 on the FQ scale — adequate by starter standards but without standout production. His 0.50 goals per 90 and 0.28 assists per 90 reflect functional but unspectacular output, and the absence of finishing, creation, and progression sub-scores prevents a deeper read on efficiency or chance quality. At 61.48, he meets minimum expectations for the role without exceeding them.

Why this score

With all four key sub-scores (finishing, creation, progression, defense) returning null, the FQ score of 61.48 is driven entirely by aggregate per-90 output — 0.50 goals and 0.95 key passes per 90 — which lands him squarely in the adequate-starter band without the granular efficiency data needed to push higher.

Form Trajectory

Form score of 66.12 sits 4.64 points above the FQ score of 61.48 — within the ±5 stable band, but nudging toward an upward trend. This modest positive delta is consistent across a reliable 0.82 confidence sample and suggests a slight uptick in recent performances rather than a sustained breakout.

Similar Profiles
Players with comparable scoring profiles in the same role
Raúl Alonso Jiménez Rodríguez

Both sit in the low-60s FQ band (62.17 vs 61.48) as established top-flight strikers with functional but non-elite output; Jiménez carries a longer Premier League track record at a higher-profile club.

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
30
Minutes
1797
Goals
10
Assists
5
Key passes
18
Rating
6.93
Tackles
25
Shots on target
24
Successful dribbles
10
Clean sheets
8
2 Seasons Ago
TQ 71.4Form 73.4
Previous
TQ 65.2Form 67.0
Current
TQ 70.0Form 70.6
Per 90 minutes
Goals
0.53
Assists
0.26
Key Passes
0.90
Tackles
1.32
Rating
6.95
Pierre-Emerick Aubameyang

Comparable FQ score (62.88) reflects a similar mid-tier production profile at this stage; Aubameyang's score is underpinned by a historically higher peak ceiling, whereas this player's profile shows no equivalent prior elite signal.

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Carlton Morris

Nearest FQ match at 63.06, both operating as workmanlike Premier League strikers in the adequate-starter band; Morris is more closely tied to a lower-table survival context, which may inflate his relative contribution score.

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Current indicators
What the live season sample is surfacing right now
Direct output
15 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
25 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
8 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

0.50 goals per 90 across 1,617 minutes (28 matches) is functional for a Premier League striker but falls short of the volume or conversion quality typically associated with scores above 65. No finishing sub-score is available to assess xG efficiency.

Creative contribution

0.95 key passes per 90 is a reasonable secondary contribution, but with no creation sub-score available, it is unclear whether this reflects genuine chance-creation quality or high-volume, low-danger 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 →