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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.

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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

Ibrahim Sangaré

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

Current Team
Nottingham Forest
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Dec 2, 1997 (28)
Jersey Number
#6
League
Premier League
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Ibrahim Sangaré
Ibrahim Sangaré
Current profile snapshot
Current Team
Nottingham Forest
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Dec 2, 1997 (28)
Jersey Number
#6
TactiQ Score
67.1
86% confidence
TactiQ Score v2
67.1
Form Score
66.7
Confidence
86%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.09
Assists
0.09
Key Pass
0.54
Tackles
2.61
Rating
6.85
Multi-season trend
AI Analysis
Generated May 6, 2026

A defensive midfielder sitting at 50.51 on the FQ scale — squarely in the typical performer band — with 26 appearances and 1,997 minutes in the Premier League this season. The most distinctive feature of this profile is the absence of any dimensional sub-scores, meaning the overall rating is driven entirely by surface-level output: 2.61 tackles per 90 and a 6.85 average match rating. At this score level, the player is not distinguishing themselves from the baseline for the role.

Why this score

With all role-specific sub-scores (defense, progression, creation, finishing) returning null, the FQ score of 50.51 is anchored almost entirely to per-90 counting stats and match rating. The 2.61 tackles per 90 and 0.09 goals and assists per 90 each reflect output that does not exceed what is typical for a Premier League defensive midfielder, producing no upward pull on the score.

Form Trajectory

Form score of 54.12 sits 3.6 points above the FQ score of 50.51 — within the ±5 stable range, though nudging toward a modest upward trend. This is not a strong enough delta to signal a breakout, but recent output is marginally ahead of the season baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
João Maria Lobo Alves Palhinha Gonçalves

Nearly identical FQ score (50.64 vs 50.51) places them at the same typical-performer level; Palhinha is known for high-volume defensive actions, a dimension that cannot be confirmed or contrasted here due to null sub-scores.

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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
26
Minutes
1997
Goals
2
Assists
2
Key passes
12
Rating
6.85
Tackles
58
Shots on target
5
Successful dribbles
11
Clean sheets
9
2 Seasons Ago
TQ 62.9Form 63.3
Previous
TQ 64.9Form 65.2
Current
TQ 65.9Form 66.7
Per 90 minutes
Goals
0.09
Assists
0.09
Key Passes
0.54
Tackles
2.61
Rating
6.85
Tyler Adams

FQ score of 50.30 makes Adams a close statistical peer at this tier; Adams brings noted pressing and recovery work, whereas this player's defensive profile remains unquantified at the sub-score level.

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Jordan Brian Henderson

Henderson's 51.48 FQ score is the ceiling of this comparable group; the similarity is positional and score-band based, though Henderson's career context and role evolution differ significantly.

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Current indicators
What the live season sample is surfacing right now
Heavy minute load
1997 minutes suggest a significant current role in the squad rotation.
Defensive activity
58 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
Attacking contribution

0.09 goals and 0.09 assists per 90 — both at the floor of what is expected even for a defensive midfielder. 0.54 key passes per 90 offers limited creative output from the position.

Dimensional profile

All sub-scores (defense, progression, creation, finishing) are null. Despite 91% data completeness and a confidence score of 0.84, no granular role-specific signal is available, making it impossible to identify a standout dimension.

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 →