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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

Christopher Trimmel 

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

Current Team
FC Union Berlin
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Feb 24, 1987 (39)
Jersey Number
#28
League
Bundesliga
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Christopher Trimmel 
Christopher Trimmel 
Current profile snapshot
Current Team
FC Union Berlin
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Feb 24, 1987 (39)
Jersey Number
#28
TactiQ Score
70.5
83% confidence
TactiQ Score v2
70.5
Form Score
65.8
Confidence
83%
Role
fullback_wingback
League
Bundesliga
Per 90 minutes
Goals
—
Assists
0.16
Key Pass
2.45
Tackles
1.77
Rating
6.80
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga fullback/wingback sitting at 49.68 on the FQ scale — just below the threshold for adequate starter territory and in the typical performer range. The most distinctive feature of this profile is the complete absence of sub-score data across all role-specific dimensions (finishing, creation, progression, defense), meaning no single area of the game stands out as a strength. With 26 appearances and 1,692 minutes logged, the sample is reasonably robust, making this a genuine reflection of mid-tier output rather than a thin-data artifact.

Why this score

The FQ Score of 49.68 is driven primarily by the absence of any measurable standout dimension — all four role-critical sub-scores (finishing, creation, progression, defense) return null, indicating no area of production clears the threshold for meaningful contribution. The per-90 data that does exist — 2.29 key passes and 1.81 tackles — sits at a level consistent with a fringe starter rather than a reliable contributor in a competitive Bundesliga context.

Form Trajectory

Form score of 48.86 sits just 0.82 points below the FQ Score of 49.68 — a delta well within the ±5 stable band, indicating no meaningful directional shift. Performance has been flat and consistent with the season baseline, with no evidence of either a recent upturn or a deteriorating run of form.

Similar Profiles
Players with comparable scoring profiles in the same role
Gabriel Gudmundsson

Gudmundsson's FQ score of 50.5 places him in the same typical-performer band, making him a close positional peer; he edges this player by roughly 0.8 FQ points, suggesting marginally more consistent dimensional output.

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
28
Minutes
1805
Assists
3
Key passes
52
Rating
6.83
Tackles
37
Successful dribbles
1
Clean sheets
6
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1805 minutes suggest a significant current role in the squad rotation.
2 Seasons Ago
TQ 65.1Form 64.8
Previous
TQ 67.3Form 67.1
Current
TQ 66.4Form 65.8
Per 90 minutes
Goals
—
Assists
0.16
Key Passes
2.45
Tackles
1.77
Rating
6.80
Johan Andrés Mojica Palacio

Mojica Palacio scores 48.63 — nearly identical to this player's 49.68 — reflecting a similar profile of mid-tier fullback production; any differentiation between the two would likely come down to league context and role emphasis rather than raw output level.

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Nordi Mukiele Mulere

Mukiele Mulere's FQ score of 48.61 is the closest match in the comparable set, sitting just 1.07 points below; his profile likely shares the same absence of a dominant standout dimension that characterises this player's read.

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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
Defensive output

1.81 tackles per 90 is a visible data point, but without a defense sub-score to contextualise it, this volume alone does not confirm defensive reliability — it falls short of what modern Bundesliga wingbacks are expected to produce in combined defensive actions.

Attacking creation

2.29 key passes per 90 is the most active number in the profile, yet the creation sub-score is null, suggesting either inconsistency in delivery quality or insufficient progressive/chance-creation volume to register a meaningful score. 0.11 assists per 90 adds limited end-product evidence.

Sub-score visibility

All four role-specific sub-scores — finishing, creation, progression, and defense — are null. For a fullback/wingback, this prevents any dimensional read and is itself a signal that no single facet of play is producing at a scoreable level across the season.

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 →