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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

Marcos Alonso

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

Current Team
Celta de Vigo
Position
Centre Back
Date of Birth
Dec 28, 1990 (35)
Jersey Number
#20
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Marcos Alonso
Marcos Alonso
Current profile snapshot
Current Team
Celta de Vigo
Position
Centre Back
Date of Birth
Dec 28, 1990 (35)
Jersey Number
#20
TactiQ Score
72.9
93% confidence
TactiQ Score v2
72.9
Form Score
70.3
Confidence
93%
Role
center_back
League
La Liga
Per 90 minutes
Goals
0.04
Assists
—
Key Pass
0.47
Tackles
1.51
Rating
7.01
Multi-season trend
AI Analysis
Generated May 6, 2026

A La Liga center-back sitting at 52.16 on the FQ scale — squarely in the typical performer range (50-59) after 2,410 minutes across 28 matches this season. The most distinctive feature of this profile is what is absent: all role-specific sub-scores (defense, progression, possession control, physical duel) are null, meaning the evaluation rests on surface-level output rather than a full positional breakdown. At 0.04 goals and 1.42 tackles per 90, the visible production numbers do not suggest a standout contributor at this level.

Why this score

The FQ score of 52.16 reflects a mid-range performer with no sub-score dimension pulling the rating meaningfully upward. The absence of a defenseScore is the single biggest structural gap — for a center-back, defensive output is the primary value driver, and without it the score cannot be anchored to core role production.

Form Trajectory

Form score of 52.99 sits just 0.83 points above the FQ score of 52.16 — well within the ±5 stable band. There is no meaningful upward or downward momentum; this player is performing at a consistent, flat level with no trajectory signal in either direction.

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

Both sit in the 52-53 FQ range for center-backs, reflecting similar overall output levels; Romero's profile is drawn from a comparable data context, though sub-score breakdowns may differ.

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
29
Minutes
2500
Goals
1
Key passes
13
Rating
7.01
Tackles
42
Shots on target
3
Successful dribbles
15
Clean sheets
9
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 67.7Form 67.2
Previous
TQ 70.8Form 70.5
Current
TQ 69.9Form 70.3
Per 90 minutes
Goals
0.04
Assists
—
Key Passes
0.47
Tackles
1.51
Rating
7.01
Kevin Diks

Comparable FQ score of 50.48 places Diks in the same typical-performer band; the key difference is positional versatility — Diks operates across defensive and wide roles, whereas this player is a dedicated center-back.

Compare →
Adam Dźwigała

Dźwigała's 50.11 FQ score reflects a similarly mid-range center-back profile; both players share the absence of elite sub-score markers that would separate them from the baseline for their role.

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Heavy minute load
2500 minutes suggest a significant current role in the squad rotation.
Defensive activity
42 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
9 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 (unquantified)

The defenseScore sub-score is null despite 2,410 minutes played at center-back — the role's primary evaluation dimension. Tackles sit at 1.42 per 90, but without interceptions, aerial duel success, or duel win rate, a complete defensive picture cannot be formed. This data gap is a meaningful limitation for this role specifically.

Attacking contribution

0.04 goals per 90 and 0.49 key passes per 90 are minimal figures for any position, though low attacking output is expected for a center-back. The key pass rate is not negligible but does not indicate a ball-playing center-back profile either.

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 →