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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

Danilho Doekhi

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

Current Team
FC Union Berlin
Position
Centre Back
Date of Birth
Jun 30, 1998 (27)
Jersey Number
#5
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Danilho Doekhi
Danilho Doekhi
Current profile snapshot
Current Team
FC Union Berlin
Position
Centre Back
Date of Birth
Jun 30, 1998 (27)
Jersey Number
#5
TactiQ Score
74.7
95% confidence
TactiQ Score v2
74.7
Form Score
71.3
Confidence
95%
Role
center_back
League
Bundesliga
Per 90 minutes
Goals
0.16
Assists
—
Key Pass
0.25
Tackles
1.34
Rating
6.88
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga center back sitting at 48.97 on the FQ scale — below the 50-59 typical performer band — with 2,790 minutes across 31 matches this season. The most distinctive feature here is the absence of any sub-score data, which, combined with a per-90 tackle rate of 1.39 and a match rating of 6.89, paints a picture of a player operating below positional baseline without standout contributions in any measurable dimension. At this score level, this is a fringe-to-typical performer rather than a reliable Bundesliga starter.

Why this score

With all sub-scores returning null, the FQ score of 48.97 is driven primarily by the per-90 output data: 1.39 tackles and 0.26 key passes per 90 are modest figures for a center back in a top-five league, and the 6.89 average match rating sits below what is typically expected of a consistent starter at this level. The absence of a defense sub-score — the primary production dimension for this role — is the single biggest analytical gap and likely reflects insufficient defensive volume or duel success.

Form Trajectory

Form score of 48.77 sits just 0.20 points below the FQ score of 48.97 — a delta well within the ±5 stable band. There is no meaningful upward or downward trend; output has been consistent but consistently below baseline throughout the season.

Similar Profiles
Players with comparable scoring profiles in the same role
Leandro Daniel Cabrera Sasía

Both sit in the same 48-50 FQ band as below-baseline center backs with limited sub-score differentiation; Cabrera Sasía's 48.49 is marginally lower, suggesting a near-identical performance ceiling at this tier.

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
33
Minutes
2970
Goals
5
Key passes
8
Rating
6.89
Tackles
45
Shots on target
12
Successful dribbles
3
Clean sheets
6
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 69.8Form 70.1
Previous
TQ 71.4Form 71.9
Current
TQ 70.6Form 71.3
Per 90 minutes
Goals
0.16
Assists
—
Key Passes
0.25
Tackles
1.34
Rating
6.88
Omar Federico Alderete Fernández

Alderete Fernández scores 49.62 — the closest comparable above this player — and represents the same fringe-starter profile in a top league, though his marginally higher score may reflect slightly better defensive volume data.

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Sead Kolašinac

Kolašinac at 50.04 is the ceiling of this comparable group and offers a reference point for what a step above this player's current output looks like; the key difference is Kolašinac's positional versatility, which adds marginal value not present here.

Compare →
Heavy minute load
2970 minutes suggest a significant current role in the squad rotation.
Defensive activity
45 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
Defensive output

1.39 tackles per 90 is the only visible defensive volume metric, and with no defense sub-score available, there is no evidence this player is meeting the positional baseline for a Bundesliga center back. For a role where defensive actions are the primary production dimension, this gap is directly relevant.

Attacking contribution

0.16 goals per 90 and 0.26 key passes per 90 are low even accounting for the center back role, and creation and progression sub-scores are both null — no multi-dimensional upside is visible in the data.

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 →