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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

Mërgim Vojvoda

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

Current Team
Como
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Feb 1, 1995 (31)
Jersey Number
#31
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Mërgim Vojvoda
Mërgim Vojvoda
Current profile snapshot
Current Team
Como
Position
Right Back
Also: Full Back / Wing Back
Date of Birth
Feb 1, 1995 (31)
Jersey Number
#31
TactiQ Score
64.1
84% confidence
TactiQ Score v2
64.1
Form Score
64.3
Confidence
84%
Role
fullback_wingback
League
Serie A
Per 90 minutes
Goals
0.12
Assists
0.12
Key Pass
1.69
Tackles
0.76
Rating
6.80
Multi-season trend
AI Analysis
Generated May 6, 2026

A Serie A fullback/wingback sitting at 47.27 on the FQ scale — squarely in fringe-to-typical territory and below the 50-point adequacy threshold. Across 27 appearances and 1,538 minutes this season, the most visible output is 1.7 key passes per 90, while goals and assists each sit at just 0.12 per 90. With all role-specific sub-scores (defense, progression, creation) returning null, a full dimensional read is not possible, and the overall picture is one of limited measurable impact for the position.

Why this score

The FQ score of 47.27 is driven primarily by below-baseline production across the metrics that are available — a 6.8 average match rating, 0.7 tackles per 90, and 0.12 goal contributions per 90 each — combined with the absence of any sub-score above the 70 threshold. The null dimension scores prevent a more precise diagnosis but do not mask any hidden strength.

Form Trajectory

Form score of 49.51 sits just 2.24 points above the FQ score of 47.27 — within the ±5 stable band, indicating no meaningful upward or downward momentum. The risk agent flags this as a modest improving trend, but the gap is too narrow to treat as a genuine inflection.

Similar Profiles
Players with comparable scoring profiles in the same role
Ali Abdi

Comparable FQ score of 47.95 places Abdi in the same fringe-to-typical band; the key difference is Abdi edges slightly higher on overall output consistency.

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
29
Minutes
1588
Goals
2
Assists
2
Key passes
29
Rating
6.79
Tackles
13
Shots on target
7
Successful dribbles
13
Clean sheets
15
2 Seasons Ago
TQ 63.8Form 63.6
Previous
TQ 63.5Form 63.3
Current
TQ 64.4Form 64.3
Per 90 minutes
Goals
0.12
Assists
0.12
Key Passes
1.69
Tackles
0.76
Rating
6.80
Temitayo Olufisayo Olaoluwa Aina

Aina's FQ score of 46.18 makes him the closest match by raw rating, both operating below the 50-point adequacy line as fullbacks; Aina's profile is marginally weaker overall.

Compare →
Nordi Mukiele Mulere

Mukiele's 48.61 FQ score sits just above this player's 47.27, with both in the same performance tier; Mukiele's slight edge likely reflects marginally higher dimensional output at wingback.

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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 outcomes
15 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

0.7 tackles per 90 is a thin return for a fullback/wingback role where defensive action volume is a core expectation. Without a defense sub-score to contextualize it, this figure alone signals below-baseline contribution in the primary defensive dimension of the position.

Attacking contribution

0.12 goals and 0.12 assists per 90 across 1,538 minutes represents minimal end-product for a modern wingback. Even accounting for a conservative tactical role, this output sits well short of what would register as a meaningful attacking threat.

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 →