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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

Victor Nelsson

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

Current Team
Hellas Verona
Position
Centre Back
Date of Birth
Oct 14, 1998 (27)
Jersey Number
#15
League
Serie A
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Victor Nelsson
Victor Nelsson
Current profile snapshot
Current Team
Hellas Verona
Position
Centre Back
Date of Birth
Oct 14, 1998 (27)
Jersey Number
#15
TactiQ Score
75.3
83% confidence
TactiQ Score v2
75.3
Form Score
73.5
Confidence
83%
Role
center_back
League
Serie A
Per 90 minutes
Goals
—
Assists
—
Key Pass
0.09
Tackles
1.83
Rating
6.80
Multi-season trend
AI Analysis
Generated May 6, 2026

A Serie A center back sitting at 51.94 on the FQ scale — squarely in the typical performer range — with 34 appearances and 2,956 minutes this season confirming a regular starter role. The most distinctive feature here is the absence of any sub-score data: finishing, creation, progression, defense, and physical duel scores are all null, meaning the headline number is built on limited dimensional evidence. At 6.81 average match rating and 1.89 tackles per 90, this is a player meeting baseline expectations without standing out in any measurable direction.

Why this score

The FQ score of 51.94 reflects a mid-table defensive profile with no sub-score dimension pulling the number meaningfully higher. With all five positional sub-scores null, the score leans heavily on surface-level output metrics — 1.89 tackles per 90 and 0.09 key passes per 90 — which are modest but not alarming for the role.

Form Trajectory

Form score of 52.02 sits just 0.08 above the FQ score of 51.94 — a delta of +0.1, well within the ±5 stable band. There is no upward or downward momentum to report; this player is performing at exactly their established level.

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

Romero's FQ score of 53.00 places him in the same typical-performer band, making him a close overall match; however, Romero carries more sub-score data that allows for dimensional comparison this player currently lacks.

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
36
Minutes
3136
Key passes
3
Rating
6.81
Tackles
68
Shots on target
1
Successful dribbles
4
Clean sheets
6
Current indicators
What the live season sample is surfacing right now
Heavy minute load
3136 minutes suggest a significant current role in the squad rotation.
Previous
TQ 68.8Form 68.5
Current
TQ 72.6Form 73.5
Per 90 minutes
Goals
—
Assists
—
Key Passes
0.09
Tackles
1.83
Rating
6.80
Kevin Diks

Diks scores 50.48, nearly identical in overall output level, suggesting a similar baseline contribution profile; the key difference is positional versatility, as Diks operates across the defensive line rather than as a fixed center back.

Compare →
Adam Dźwigała

Dźwigała's 50.11 FQ score reflects a comparable floor of defensive contribution; like this player, he sits in the adequate-starter tier without evidence of elite output in any single dimension.

Compare →
Defensive activity
68 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 volume

1.89 tackles per 90 is the only available defensive metric, and with the defense sub-score null, there is no granular data on interceptions, duels won, or aerial success. For a center back in Serie A, this limits confidence in assessing whether defensive contributions are role-adequate or below baseline.

Ball progression / creation

0.09 key passes per 90 is minimal for a modern center back, and both the creation and progression sub-scores are null. In a league that increasingly demands ball-playing ability from defenders, this gap in measurable output is a meaningful flag.

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 →