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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

Stefan Posch

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

Current Team
FSV Mainz 05
Position
Centre Back
Date of Birth
May 14, 1997 (28)
Jersey Number
#4
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Stefan Posch
Stefan Posch
Current profile snapshot
Current Team
FSV Mainz 05
Position
Centre Back
Date of Birth
May 14, 1997 (28)
Jersey Number
#4
TactiQ Score
70.0
67% confidenceCalibrating
TactiQ Score v2
70.0
Calibrating
Form Score
67.3
Confidence
67%
Role
center_back
League
Bundesliga
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.50
Tackles
3.29
Rating
6.87
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga center-back sitting at 51.25 on the FQ scale — squarely in the typical performer range — with the most distinctive feature being the near-total absence of sub-score data, making a confident positional verdict impossible. Across 13 matches and 1,170 minutes this season, the available per-90 numbers show 3.15 tackles and a 6.84 average rating, but no defensive sub-score exists to anchor a proper evaluation of a player whose entire value should be measured defensively. Data confidence sits at 0.63, meaning all conclusions here carry meaningful uncertainty.

Why this score

The FQ score of 51.25 is driven primarily by what is missing rather than what is measured: all role-relevant sub-scores — defense, physical duels, progression — are null, leaving the model with thin evidence and a confidence rating of 0.63. Without a defensive sub-score for a center-back, the system cannot reward or penalise the core contribution that defines this position.

Form Trajectory

Form is effectively flat: the form score of 50.64 sits just 0.61 points below the FQ score of 51.25, placing this player firmly in the stable band (within ±5). There is no upward momentum, but equally no meaningful decline signal to act on.

Similar Profiles
Players with comparable scoring profiles in the same role
Kevin Diks

Diks scores 50.48 — nearly identical to this player's 51.25 — reflecting a similar profile of mid-table defensive contribution; the key difference is role context, as Diks operates as a fullback rather than a pure center-back.

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

8 metrics surfaced
Appearances
15
Minutes
1350
Key passes
7
Rating
6.85
Tackles
46
Shots on target
3
Successful dribbles
5
Clean sheets
2
Current indicators
What the live season sample is surfacing right now
Defensive activity
46 tackles indicate active intervention volume in the current season sample.
2 Seasons Ago
TQ 69.0Form 69.1
Previous
TQ 62.5Form 63.0
Current
TQ 67.0Form 67.3
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.50
Tackles
3.29
Rating
6.87
Adam Dźwigała

Dźwigała's 50.11 FQ score places him in the same typical-performer band, making him a close overall match; however, Dźwigała's data profile may carry more sub-score granularity, giving his evaluation a firmer evidential base.

Compare →
Sead Kolašinac

Kolašinac at 50.04 rounds out a tight cluster of comparable scores, all within 1.25 points of each other; Kolašinac's physicality profile historically differs from a conventional center-back, making the similarity more about output level than playing style.

Compare →
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 measurability

The defense sub-score is null despite this player logging 1,170 minutes as a center-back — the single most important dimension for this role. The 3.15 tackles per 90 is a data point, but without duel success rates, interceptions, or aerial metrics, it cannot be contextualised against positional baselines.

Creative and progressive output

Creation and progression sub-scores are both null, and key passes sit at just 0.38 per 90 — below what modern ball-playing center-backs typically contribute. For a Bundesliga starter, this limits any claim to a secondary carrying or build-up role.

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 →