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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

Patrik Schick

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

Current Team
Bayer 04 Leverkusen
Position
Centre Forward
Also: Striker
Date of Birth
Jan 24, 1996 (30)
Jersey Number
#14
League
Bundesliga
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Patrik Schick
Patrik Schick
Current profile snapshot
Current Team
Bayer 04 Leverkusen
Position
Centre Forward
Also: Striker
Date of Birth
Jan 24, 1996 (30)
Jersey Number
#14
TactiQ Score
75.8
86% confidence
TactiQ Score v2
75.8
Form Score
74.3
Confidence
86%
Role
striker
League
Bundesliga
Per 90 minutes
Goals
0.76
Assists
0.14
Key Pass
0.66
Tackles
0.38
Rating
7.08
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A Bundesliga striker sitting at 61.55 on the FQ scale — adequate starter territory, but with no sub-score data available for finishing, creation, or progression, the picture is incomplete. What the data does confirm: 0.68 goals per 90 across 1,725 minutes this season, a volume that meets baseline striker expectations without signalling elite output. The most distinctive feature here is consistency — form and overall score are virtually identical, pointing to a player who delivers a predictable, mid-tier contribution.

Why this score

The FQ score of 61.55 reflects a striker who meets positional baseline requirements but lacks the production volume or efficiency markers to push above the 65 threshold. All role-critical sub-scores — finishing, creation, and progression — are null, which caps analytical confidence and prevents any assessment of conversion quality or xG performance.

Form Trajectory

Form score of 62.4 sits just 0.85 points above the FQ score of 61.55 — well within the ±5 stable band. There is no meaningful upward or downward momentum; this player is performing exactly in line with their established level.

Similar Profiles
Players with comparable scoring profiles in the same role
Richarlison de Andrade

Both sit within a point of each other on the FQ scale (61.48 vs 61.55), reflecting similar mid-tier striker output; Richarlison has historically shown more physical duel involvement, which may differentiate their profiles if sub-scores were available.

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
27
Minutes
1905
Goals
16
Assists
3
Key passes
14
Rating
7.08
Tackles
8
Shots on target
31
Successful dribbles
10
Clean sheets
5
2 Seasons Ago
TQ 65.5Form 66.3
Previous
TQ 75.4Form 78.2
Current
TQ 71.6Form 74.3
Per 90 minutes
Goals
0.76
Assists
0.14
Key Passes
0.66
Tackles
0.38
Rating
7.08
Raúl Alonso Jiménez Rodríguez

Jiménez's FQ score of 62.17 places him in the same adequate-starter band, with comparable goal contribution profiles; Jiménez has typically offered more hold-up and link-up play, a dimension that cannot be confirmed or denied here due to null progression data.

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Pierre-Emerick Aubameyang

Aubameyang's 62.88 FQ score reflects a similar output tier at this stage of assessment; historically Aubameyang has been a higher-volume finisher, making him the ceiling comparison rather than a true stylistic match.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1905 minutes suggest a significant current role in the squad rotation.
Direct output
19 combined goals and assists are showing in live coverage.
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
Chance creation

0.68 key passes per 90 is a functional number for a striker, but with the creation sub-score null, there is no way to assess whether this translates into genuine attacking threat or reflects incidental involvement. For a Bundesliga starter, this output does not stand out.

Defensive contribution

0.31 tackles per 90 is below what pressing-heavy Bundesliga systems typically demand from forwards. While defensive output is not a primary striker metric, in a league that prizes high press intensity, this figure is worth monitoring.

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 →