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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

Robin Koch

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

Current Team
Eintracht Frankfurt
Position
Centre Back
Date of Birth
Jul 17, 1996 (29)
Jersey Number
#4
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Robin Koch
Robin Koch
Current profile snapshot
Current Team
Eintracht Frankfurt
Position
Centre Back
Date of Birth
Jul 17, 1996 (29)
Jersey Number
#4
TactiQ Score
75.0
96% confidence
TactiQ Score v2
75.0
Form Score
72.1
Confidence
96%
Role
center_back
League
Bundesliga
Per 90 minutes
Goals
0.10
Assists
0.03
Key Pass
0.30
Tackles
1.38
Rating
6.94
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga center-back sitting at 48.43 on the FQ scale — below the 50-59 "typical performer" band and firmly in fringe territory for a top-five European league. Across 29 matches (2,565 minutes), the most visible output is 1.19 tackles per 90 and a 6.95 average match rating, neither of which signals a meaningful defensive presence. All role-specific sub-scores (defense, progression, possession control, physical duel) are null, meaning the FQ score is driven by aggregate signal rather than dimensional strength.

Why this score

The FQ score of 48.43 is pulled down by a below-baseline aggregate with no sub-score dimension clearing the threshold for above-average contribution. The absence of a computable defense sub-score — the primary production metric for a center-back — is itself a signal: it reflects insufficient volume or quality of defensive actions to register a meaningful dimensional score.

Form Trajectory

Form score of 49.28 sits just 0.85 points above the FQ score of 48.43 — well within the ±5 stable band. There is no meaningful upward or downward trajectory signal; performance has been consistently flat across the current season.

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

Nearly identical FQ score (48.49 vs 48.43) places them at the same performance tier; Cabrera Sasía's profile offers a direct peer benchmark, though league context may differ.

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
31
Minutes
2745
Goals
3
Assists
1
Key passes
9
Rating
6.94
Tackles
42
Shots on target
5
Successful dribbles
2
Clean sheets
7
2 Seasons Ago
TQ 67.2Form 67.5
Previous
TQ 72.3Form 72.5
Current
TQ 71.4Form 72.1
Per 90 minutes
Goals
0.10
Assists
0.03
Key Passes
0.30
Tackles
1.38
Rating
6.94
Omar Federico Alderete Fernández

Alderete Fernández scores marginally higher at 49.62, suggesting a similar fringe-to-adequate ceiling, but edges ahead on aggregate output.

Compare →
Pau Francisco Torres

Torres scores slightly lower at 47.13, making him the weakest of the three comparables, though all three cluster tightly in the 47–50 band that defines this player's peer group.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2745 minutes suggest a significant current role in the squad rotation.
Defensive activity
42 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

1.19 tackles per 90 is the only visible defensive metric, and no defense sub-score could be computed — unusual for a center-back with 2,565 minutes played. This suggests low volume or low impact across interceptions, duels, and clearances.

Attacking contribution

0.11 goals per 90 and 0.04 assists per 90 are minimal even by center-back standards, and 0.35 key passes per 90 indicates limited involvement in build-up or set-piece delivery.

Multi-dimensional profile

All role-specific sub-scores (finishing, creation, progression, defense, possession control, physical duel) returned null across 29 matches, indicating no dimension where this player registers above-baseline output.

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 →