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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.

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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

Vitaly Janelt

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

Current Team
Brentford
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
May 10, 1998 (28)
Jersey Number
#27
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Vitaly Janelt
Vitaly Janelt
Current profile snapshot
Current Team
Brentford
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
May 10, 1998 (28)
Jersey Number
#27
TactiQ Score
69.2
78% confidence
TactiQ Score v2
69.2
Form Score
67.0
Confidence
78%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.07
Assists
0.28
Key Pass
1.40
Tackles
1.68
Rating
6.92
Multi-season trend
AI Analysis
Generated May 6, 2026

A defensive midfielder sitting at 50.47 on the FQ scale — squarely in the typical performer range, with no sub-score data available to identify specific strengths or weaknesses. Across 22 Premier League appearances (1,257 minutes), the most notable output is 1.43 key passes per 90, which is above what most defensive midfielders produce, alongside 1.72 tackles per 90. The overall picture is one of functional but unremarkable contribution at this level.

Why this score

With all six sub-scores returning null, the FQ score of 50.47 is driven entirely by aggregate per-90 output and role-baseline comparisons. The 6.96 average match rating and modest goal contribution (0.07 goals, 0.29 assists per 90) place this player just at the threshold of typical performance for a Premier League defensive midfielder — not clearly deficient, but not clearing the bar in any measurable dimension.

Form Trajectory

Form score of 50.35 sits just -0.12 below the FQ score of 50.47 — a delta well within the ±5 stable band. There is no upward or downward momentum signal; this player is performing exactly in line with their established level.

Similar Profiles
Players with comparable scoring profiles in the same role
Ibrahim Sangaré

Sangaré scores 50.51 — virtually identical to this player — making him a close peer in overall output level; Sangaré, however, has a more established profile in European competition which provides clearer sub-score context.

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

10 metrics surfaced
Appearances
23
Minutes
1286
Goals
1
Assists
4
Key passes
20
Rating
6.92
Tackles
24
Shots on target
3
Successful dribbles
4
Clean sheets
5
2 Seasons Ago
TQ 69.6Form 70.4
Previous
TQ 66.4Form 67.0
Current
TQ 66.9Form 67.0
Per 90 minutes
Goals
0.07
Assists
0.28
Key Passes
1.40
Tackles
1.68
Rating
6.92
João Maria Lobo Alves Palhinha Gonçalves

Palhinha's 50.64 FQ score places him at the same performance tier, with both players operating as defensive midfielders at a similar output ceiling; Palhinha's defensive reputation is more defined, whereas this player's profile lacks dimensional breakdown.

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Tyler Adams

Adams at 50.30 is the closest match by score, sharing a similar role bucket and output range; Adams brings a higher pressing and recovery profile that is better documented, contrasting with the data gaps here.

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Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
24 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 clarity

All defensive sub-scores are null, meaning tackles (1.72 per 90) cannot be contextualised against positional baselines. For a defensive midfielder in the Premier League, this is the core role requirement — the absence of dimensional data is itself a signal of limited measurable impact in this area.

Goal and assist contribution

0.07 goals and 0.29 assists per 90 represent thin attacking output for a role that increasingly demands progressive involvement. Combined, these figures sit below what top-half Premier League defensive midfielders typically produce.

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 →