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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

Nico Elvedi

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

Current Team
Borussia Mönchengladbach
Position
Centre Back
Date of Birth
Sep 30, 1996 (29)
Jersey Number
#30
League
Bundesliga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Nico Elvedi
Nico Elvedi
Current profile snapshot
Current Team
Borussia Mönchengladbach
Position
Centre Back
Date of Birth
Sep 30, 1996 (29)
Jersey Number
#30
TactiQ Score
75.5
94% confidence
TactiQ Score v2
75.5
Form Score
71.8
Confidence
94%
Role
center_back
League
Bundesliga
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.34
Tackles
1.28
Rating
6.96
Multi-season trend
AI Analysis
Generated May 6, 2026

A Bundesliga center back sitting at an FQ Score of 51 — squarely in the typical performer band — with no sub-score data available to diagnose where value is or isn't being generated. Across 31 matches and 2,788 minutes this season, the profile is one of steady but unremarkable presence, with a 6.96 average match rating and 1.26 tackles per 90 as the only concrete defensive output on record. The absence of a defense sub-score is the defining limitation here: for a center back, that is the primary lens, and without it the picture remains structurally incomplete.

Why this score

The FQ Score of 51 is anchored by a below-baseline performance agent read of 46, driven primarily by the absence of a defense sub-score — the single most critical dimension for this role. Without it, the system cannot credit or penalise defensive contributions, leaving the score to reflect a thin signal rather than a full picture.

Form Trajectory

At a form score of 52.1 versus an FQ Score of 51.0, the delta is just +1.1 — well within the ±5 stable band. There is no meaningful upward or downward momentum to report; performance has been consistent at this level across the current sample.

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

Comparable FQ Score of 50.48 places Diks at a near-identical performance level; the key difference is role context, as Diks typically operates as a fullback rather than a central defender.

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

7 metrics surfaced
Appearances
32
Minutes
2877
Key passes
11
Rating
6.96
Tackles
41
Successful dribbles
2
Clean sheets
12
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2877 minutes suggest a significant current role in the squad rotation.
Defensive activity
2 Seasons Ago
TQ 69.8Form 70.2
Previous
TQ 72.7Form 73.1
Current
TQ 71.2Form 71.8
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.34
Tackles
1.28
Rating
6.96
Adam Dźwigała

Dźwigała's FQ Score of 50.11 reflects a similarly typical performer profile at center back, though his league context may differ, affecting the difficulty weighting behind that score.

Compare →
Sead Kolašinac

Kolašinac scores 50.04 and shares the lower-mid range profile, but brings a more physically aggressive defensive style historically — a dimension that cannot be directly compared here given the null sub-score data.

Compare →
41 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
12 clean sheets are surfacing in the current live snapshot.
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 visibility

All role-specific sub-scores — defense, progression, possession control, physical duel — are null. For a center back logging 2,788 minutes, the absence of a defense sub-score means the 1.26 tackles per 90 is the only defensive data point available, which is insufficient to assess whether this player is meeting positional baseline.

Attacking contribution

0.36 key passes per 90 is a modest creative output, but for a center back this is a secondary concern. It is flagged here only because it is one of the few concrete numbers available — not because it represents a meaningful role gap.

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 →