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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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Pulling current player details into TactiQ.

Player Profile

Breel Embolo

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

Current Team
Rennes
Position
Centre Forward
Also: Striker
Date of Birth
Feb 14, 1997 (29)
Jersey Number
#7
League
Ligue 1
Back to PlayersCompare PlayerOpen RankingsView Methodology
Breel Embolo
Breel Embolo
Current profile snapshot
Current Team
Rennes
Position
Centre Forward
Also: Striker
Date of Birth
Feb 14, 1997 (29)
Jersey Number
#7
TactiQ Score
66.1
88% confidence
TactiQ Score v2
66.1
Form Score
62.6
Confidence
88%
Role
striker
League
Ligue 1
Per 90 minutes
Goals
0.40
Assists
0.15
Key Pass
0.69
Tackles
0.94
Rating
6.81
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-range Ligue 1 striker sitting at 55.12 on the FQ scale — squarely in the typical performer band. The most distinctive feature here is not a strength but an absence: all sub-scores (finishing, creation, progression, defense) are null, meaning the score is built on surface-level per-90 output rather than quality-adjusted metrics. At 0.42 goals and 0.16 assists per 90 across 1,724 minutes, this is a player meeting baseline volume without standing out in any measurable dimension.

Why this score

The FQ score of 55.12 is driven primarily by adequate but unspectacular per-90 production — 0.42 goals and 0.73 key passes per 90 — with no finishing or creation sub-scores available to validate quality. The absence of granular efficiency data (xG, conversion rate) means the score cannot reward or penalise finishing quality, capping the ceiling and floor of the evaluation.

Form Trajectory

Form score of 56.86 sits just 1.74 points above the FQ score of 55.12 — well within the ±5 stable band. There is no meaningful upward or downward momentum; this player is performing exactly in line with their established baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
André Miguel Valente Silva

Both sit in the 53–56 FQ range as strikers with similar volume-based output profiles; André Silva's slightly lower score (53.66) reflects comparable production levels, though his career history in higher-profile leagues provides more sub-score context than is available here.

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
30
Minutes
1837
Goals
9
Assists
3
Key passes
15
Rating
6.84
Tackles
20
Shots on target
18
Successful dribbles
15
Clean sheets
9
2 Seasons Ago
TQ 62.2Form 62.3
Previous
TQ 62.4Form 62.5
Current
TQ 61.9Form 62.7
Per 90 minutes
Goals
0.40
Assists
0.15
Key Passes
0.69
Tackles
0.94
Rating
6.81
Jordan Ayew

Ayew's FQ score of 51.73 places him just below this player, sharing the profile of a functional but non-elite striker who contributes across multiple output categories without dominating any single one.

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Patrick Bamford

Bamford's 51.55 FQ score reflects a similar mid-range striker profile; like this player, his evaluation is complicated by availability and data completeness issues that suppress sub-score granularity.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1837 minutes suggest a significant current role in the squad rotation.
Direct output
12 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
20 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
Finishing quality (unscored)

The finishing sub-score is null — the single most important dimension for a striker evaluation. With 0.42 goals per 90 and no xG or conversion data available, it is impossible to determine whether this output reflects efficiency or volume masking poor conversion.

Attacking creation

Creation sub-score is also null. The 0.73 key passes per 90 is a surface signal only; without a creation sub-score, the quality and danger level of those passes cannot be assessed for a striker role.

Progression

Progression sub-score is null, limiting any read on how effectively this player advances play — a meaningful gap when evaluating a striker's hold-up and link-up contribution in Ligue 1.

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 →