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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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Pulling current player details into TactiQ.

Player Profile

Christian Eriksen

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

Current Team
VfL Wolfsburg
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Feb 14, 1992 (34)
Jersey Number
#24
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Christian Eriksen
Christian Eriksen
Current profile snapshot
Current Team
VfL Wolfsburg
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Feb 14, 1992 (34)
Jersey Number
#24
TactiQ Score
71.7
93% confidence
TactiQ Score v2
71.7
Form Score
69.0
Confidence
93%
Role
attacking_midfielder_creator
League
Bundesliga
Per 90 minutes
Goals
0.12
Assists
0.31
Key Pass
2.24
Tackles
1.43
Rating
7.02
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier attacking midfielder in the Bundesliga sitting at 57.75 on the FQ scale — adequate but below the 65+ threshold expected of effective creators in this role. Across 28 matches (2,177 minutes), the most distinctive output is a key pass rate of 2.23 per 90, which anchors his value as a distributor rather than a direct goal contributor. Goal involvement is limited, with 0.12 goals and 0.29 assists per 90 — production volume that does not separate him from the pack.

Why this score

The FQ score of 57.75 reflects a player meeting baseline expectations without exceeding them in any measurable dimension. With no sub-scores available to identify a standout area, the overall score is driven by moderate per-90 output — particularly the low goal rate (0.12 per 90) and assist rate (0.29 per 90) that fall short of what pushes attacking midfield creators above 65.

Form Trajectory

Form score of 60.13 sits 2.4 points above the FQ score of 57.75 — within the ±5 stable band, indicating no meaningful upward or downward shift. Output is consistent rather than trending in either direction.

Similar Profiles
Players with comparable scoring profiles in the same role
Bernardo Mota Veiga de Carvalho e Silva

Closely matched FQ scores (59.68 vs 57.75) place both players in the same mid-tier creator band, though Bernardo edges ahead slightly in overall rating.

Compare →
Alexis Claude Maurice
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
2333
Goals
3
Assists
8
Key passes
58
Rating
7.02
Tackles
37
Shots on target
12
Successful dribbles
10
Clean sheets
2
2 Seasons Ago
TQ 61.6Form 61.5
Previous
TQ 68.4Form 68.4
Current
TQ 68.9Form 69.0
Per 90 minutes
Goals
0.12
Assists
0.31
Key Passes
2.24
Tackles
1.43
Rating
7.02

Near-identical FQ score (59.85) suggests comparable production levels in a creator role; Claude Maurice's marginal advantage may reflect stronger direct goal involvement.

Compare →
Nikola Vlašić

Vlašić scores lower at 55.04, making him the closest lower-bound comparison — both share the attacking midfielder profile, but this player's 2.23 key passes per 90 likely represents a relative edge in chance creation.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2333 minutes suggest a significant current role in the squad rotation.
Direct output
11 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
37 tackles indicate active intervention volume in the current season sample.
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 involvement

0.12 goals and 0.29 assists per 90 across 28 Bundesliga appearances. For an attacking midfielder/creator, this combined rate of 0.41 goal contributions per 90 sits below the threshold expected of effective creators in this role bucket.

Defensive engagement

1.36 tackles per 90 is notable for a creator role — while not a weakness per se, it may reflect deeper defensive positioning that limits time in advanced areas, consistent with the low goal contribution rate.

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 →