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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

João Palhinha

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

Current Team
Tottenham Hotspur
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jul 9, 1995 (30)
Jersey Number
#6
League
Premier League
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João Palhinha
João Palhinha
Current profile snapshot
Current Team
Tottenham Hotspur
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Jul 9, 1995 (30)
Jersey Number
#6
TactiQ Score
70.2
88% confidence
TactiQ Score v2
70.2
Form Score
69.8
Confidence
88%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.18
Assists
0.09
Key Pass
0.28
Tackles
4.67
Rating
6.89
Multi-season trend
AI Analysis
Generated May 6, 2026

A defensive midfielder sitting at 50.64 on the FQ scale — squarely in the typical performer band — with 29 appearances and 1,858 minutes in the Premier League this season. The most distinctive feature of this profile is what's missing: all role-specific sub-scores (finishing, creation, progression, defense) are null, meaning the headline number is built on surface-level output rather than dimensional quality. At 4.8 tackles per 90 and a 6.88 average rating, there is baseline activity, but no granular signal to confirm sustained positional impact.

Why this score

The FQ score of 50.64 is driven primarily by the absence of confirmable dimensional quality — with all sub-scores returning null, the model cannot credit above-baseline performance in any core defensive midfielder responsibility. The per-90 outputs (0.19 goals, 0.10 assists, 0.29 key passes) are low-volume and consistent with a player meeting minimum positional requirements rather than exceeding them.

Form Trajectory

Form score of 54.49 sits 3.9 points above the FQ score of 50.64 — within the ±5 stable band, though nudging toward a modest upward signal. This suggests a slight recent uptick rather than a meaningful trend shift; the absolute form level of 54.49 remains in the typical performer range.

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

Sangaré's FQ score of 50.51 is nearly identical, reflecting a similar profile of mid-tier defensive midfield output; Sangaré, however, operates in a different league context which may explain comparable scores at different levels of competition.

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
31
Minutes
2038
Goals
4
Assists
2
Key passes
6
Rating
6.88
Tackles
105
Shots on target
8
Successful dribbles
7
Clean sheets
8
2 Seasons Ago
TQ 72.6Form 73.4
Previous
TQ 61.4Form 61.5
Current
TQ 68.9Form 69.8
Per 90 minutes
Goals
0.18
Assists
0.09
Key Passes
0.28
Tackles
4.67
Rating
6.89
Tyler Adams

Adams scores 50.30, aligning closely in overall output level; Adams is typically associated with higher defensive intensity and pressing metrics, which may differentiate their underlying profiles despite the similar headline score.

Compare →
Jordan Brian Henderson

Henderson's 51.48 FQ score places him marginally above this player, with both sitting in the typical performer band; Henderson's profile carries more creation-side history, making the similarity more about current output level than playing style.

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Current indicators
What the live season sample is surfacing right now
Heavy minute load
2038 minutes suggest a significant current role in the squad rotation.
Defensive activity
105 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
Attacking contribution

0.19 goals and 0.10 assists per 90, with just 0.29 key passes per 90 — all below what would be expected of a box-to-box or progressive defensive midfielder in the Premier League. For a role that increasingly demands output in transition, these numbers represent a clear ceiling on overall value.

Defensive dimension visibility

All defensive sub-scores are null, preventing any validation of tackles won rate, interception volume, or duel success. The raw 4.8 tackles per 90 suggests activity, but without quality filtering this figure cannot be interpreted as genuine defensive effectiveness.

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 →