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TactiQ
Football Intelligence
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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

Florentino

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

Current Team
Burnley
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Aug 19, 1999 (26)
Jersey Number
#16
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Florentino
Florentino
Current profile snapshot
Current Team
Burnley
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Aug 19, 1999 (26)
Jersey Number
#16
TactiQ Score
68.8
86% confidence
TactiQ Score v2
68.8
Form Score
66.0
Confidence
86%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
—
Assists
0.10
Key Pass
0.48
Tackles
3.97
Rating
6.66
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level defensive midfielder in the Premier League with an FQ Score of 48.11 — sitting in the typical-to-below-average band on the 0-100 scale. The most distinctive feature of this evaluation is not a weakness in any one dimension but the complete absence of sub-score data across all role-critical areas, making it impossible to identify a clear strength or pinpoint a specific failing. With 1,836 minutes across 27 matches, this is not a thin-sample problem — the score of 48.11 reflects sustained, consistent output at a below-baseline level.

Why this score

The FQ Score of 48.11 is driven primarily by below-baseline overall production in a clearly defined defensive midfield role, with a per-90 rating of 6.67 and no sub-score above the threshold needed to identify a standout dimension. All role-critical sub-scores — defense, progression, creation, and finishing — are null, meaning no single area pulls the score up.

Form Trajectory

Form is entirely stable: the form score of 48.04 sits just -0.07 below the FQ Score of 48.11, a delta well within the ±5 stable band. There is no sign of a recent upturn or decline — this is a flat, consistent output level sustained across the season.

Similar Profiles
Players with comparable scoring profiles in the same role
Rodrigo Bentancur Colmán

Nearly identical FQ Score (47.94 vs 48.11) places both players in the same typical-performer band; Bentancur Colmán's profile may offer more dimensional clarity given his longer top-flight data history.

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
1948
Assists
2
Key passes
12
Rating
6.67
Tackles
83
Shots on target
1
Successful dribbles
8
Clean sheets
2
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 60.4Form 60.6
Previous
TQ 66.6Form 67.3
Current
TQ 65.1Form 66.0
Per 90 minutes
Goals
—
Assists
0.10
Key Passes
0.48
Tackles
3.97
Rating
6.66
Santiago Colombatto

The closest FQ match at 48.59, suggesting similar overall output levels in a defensive midfield role; Colombatto operates in a different league context, which may account for subtle differences in how that score is composed.

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Tomáš Souček

FQ Score of 47.62 puts Souček in the same band, but Souček's profile is typically characterised by aerial and physical duel contributions — a dimensional contrast that highlights what remains unknown about this player's own sub-score profile.

Compare →
Heavy minute load
1948 minutes suggest a significant current role in the squad rotation.
Defensive activity
83 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

For a defensive midfielder, tackles (3.92 per 90) is the one available volume metric, but without a defense sub-score to contextualise efficiency or success rate, it is unclear whether this volume translates into meaningful defensive contribution. The null defense sub-score is a meaningful gap for this role.

Ball progression and creation

Key passes sit at just 0.49 per 90 and assists at 0.10 per 90 — both below what would be expected of a Premier League defensive midfielder contributing meaningfully in transition or build-up. Progression and creation sub-scores are null, reinforcing the absence of a clear creative outlet.

Overall scoring reliability

Despite a solid confidence score of 0.82 and 91% data completeness, the specialist panel reached only contested agreement (consensus confidence 0.52), with individual agent scores ranging from 46 to 68. The null sub-score profile is the core source of that disagreement and limits how precisely this player's ceiling or floor can be assessed.

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 →