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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

Ruslan Malinovskyi

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

Current Team
Genoa
Position
Central Midfield
Also: Central Midfielder
Date of Birth
May 4, 1993 (33)
Jersey Number
#17
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Ruslan Malinovskyi
Ruslan Malinovskyi
Current profile snapshot
Current Team
Genoa
Position
Central Midfield
Also: Central Midfielder
Date of Birth
May 4, 1993 (33)
Jersey Number
#17
TactiQ Score
67.3
92% confidence
TactiQ Score v2
67.3
Form Score
65.6
Confidence
92%
Role
central_midfielder
League
Serie A
Per 90 minutes
Goals
0.25
Assists
0.13
Key Pass
1.55
Tackles
1.30
Rating
6.99
Multi-season trend
AI Analysis
Generated May 6, 2026

A central midfielder in Serie A sitting at 51.28 on the FQ scale — a typical performer by the platform's calibration. With 2,126 minutes across 31 matches this season, the sample is substantial and the 0.89 confidence score means this reading is reliable, not a thin-data artefact. There is no standout dimension pulling the score in either direction; this is a broadly baseline profile.

Why this score

With all role-specific sub-scores (creation, progression, defense, possession control, physical duel) returning null, there is no single dimension elevating or suppressing the FQ score — the 51.28 reflects aggregate output sitting at the position baseline across per-90 metrics: 0.25 goals, 0.13 assists, 1.57 key passes, and 1.31 tackles per 90.

Form Trajectory

Form score of 51.07 sits just -0.21 below the FQ score of 51.28 — a delta well within the ±5 stable band. There is no meaningful trajectory shift in either direction; output has been consistent with the season-long baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
Jean-Ricner Bellegarde

Scores within 0.05 of this player at 51.33 FQ, making him the closest statistical peer on the platform; Bellegarde operates in a higher-pressing tactical system which may explain similar aggregate output through different underlying actions.

Compare →
Henrikh Mkhitaryan
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
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
33
Minutes
2162
Goals
6
Assists
3
Key passes
37
Rating
6.97
Tackles
31
Shots on target
15
Successful dribbles
12
Clean sheets
8
2 Seasons Ago
TQ 60.6Form 60.3
Previous
TQ 66.7Form 66.8
Current
TQ 65.8Form 65.6
Per 90 minutes
Goals
0.25
Assists
0.13
Key Passes
1.55
Tackles
1.30
Rating
6.99

At 51.78 FQ, Mkhitaryan is a near-identical scorer but brings a well-documented creation profile that this player's null sub-scores cannot match or refute — the surface similarity may mask meaningful stylistic differences.

Compare →
Unai López Cabrera

The lowest of the three comparables at 50.58 FQ, López Cabrera represents the floor of this peer cluster; both players sit in the typical-performer band with no sub-score evidence of a breakout dimension.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2162 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
31 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
8 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
Chance creation

1.57 key passes per 90 is a measurable output, but without a creation sub-score it cannot be benchmarked against role peers — and no assist rate above 0.13 per 90 suggests limited end-product from those actions. For a central midfielder, creation is a primary value driver and this profile offers no evidence of above-baseline output.

Defensive contribution

1.31 tackles per 90 is a surface-level signal, but the defense sub-score is null, preventing any read on press success, interceptions, or positional discipline. For a central midfielder expected to contribute in both phases, the absence of dimensional data leaves this area unverifiable.

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 →