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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

Waldemar Anton

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

Current Team
Borussia Dortmund
Position
Centre Back
Date of Birth
Jul 20, 1996 (29)
Jersey Number
#3
League
Bundesliga
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Waldemar Anton
Waldemar Anton
Current profile snapshot
Current Team
Borussia Dortmund
Position
Centre Back
Date of Birth
Jul 20, 1996 (29)
Jersey Number
#3
TactiQ Score
75.2
95% confidence
TactiQ Score v2
75.2
Form Score
74.3
Confidence
95%
Role
center_back
League
Bundesliga
Per 90 minutes
Goals
0.06
Assists
—
Key Pass
0.26
Tackles
2.32
Rating
7.07
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A Bundesliga center back sitting at 56.88 on the FQ scale — adequate starter territory, meeting positional baseline requirements without standing out in any measurable dimension. The most distinctive data point is a tackles rate of 2.38 per 90, which signals active defensive engagement, though the absence of granular sub-scores (duels won, interceptions, aerial success) prevents a fuller picture of defensive quality. At 29 appearances and 2,610 minutes this season, the sample is substantial and the 0.91 confidence score makes this reading reliable.

Why this score

With all role-specific sub-scores (defense, progression, possession control, physical duel) returning null, the FQ score of 56.88 is driven by aggregate output rather than any standout dimension — the data reflects consistent but unspectacular contribution across the board. The 7.08 average match rating and 0.07 goals per 90 are both mid-range figures that anchor the score firmly in the 50-59 "typical performer" band.

Form Trajectory

Recent form score of 61.12 sits 4.24 points above the FQ score of 56.88 — within the ±5 stable band, but nudging toward an upward signal. This is consistent with the risk/form agent's read of an improving trajectory; not a breakout trend, but no decline concern either.

Similar Profiles
Players with comparable scoring profiles in the same role
Daley Blind

Comparable FQ scores (56.3 vs 56.88) reflect similar mid-tier starter profiles; Blind historically offers more progressive passing output from the back, which this player's 0.28 key passes per 90 does not match.

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
31
Minutes
2790
Goals
2
Key passes
8
Rating
7.07
Tackles
72
Shots on target
6
Successful dribbles
13
Clean sheets
13
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 73.3Form 73.5
Previous
TQ 72.0Form 72.1
Current
TQ 73.8Form 74.3
Per 90 minutes
Goals
0.06
Assists
—
Key Passes
0.26
Tackles
2.32
Rating
7.07
Ibrahima Konaté

Konaté's 55.09 FQ score places him in the same adequate-starter band; Konaté is associated with stronger aerial and physical duel metrics, an area this player cannot be assessed on due to null sub-scores.

Compare →
Aarón Martín Caricol

The highest-scoring comparable at 60.75, Martín Caricol represents the ceiling of this peer group; the gap of roughly 4 FQ points suggests this player would need measurable improvement in at least one role-specific dimension to reach that level.

Compare →
Heavy minute load
2790 minutes suggest a significant current role in the squad rotation.
Defensive activity
72 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
13 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 sub-score visibility

All role-critical sub-scores — defense, physical duel, progression — are null, meaning the 2.38 tackles per 90 is the only direct defensive signal available. For a center back, the absence of duel success rate, aerial win rate, and interception data is a meaningful gap that prevents confirming whether the tackle volume translates into defensive effectiveness.

Creative and progressive output

Key passes sit at just 0.28 per 90 with no assists recorded, and the creation and progression sub-scores are null. For a modern Bundesliga center back where ball-playing ability is increasingly valued, this limits the player's contribution profile to primarily reactive defending rather than build-up initiation.

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 →