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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

Ché Adams

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

Current Team
Torino
Position
Centre Forward
Also: Striker
Date of Birth
Jul 13, 1996 (29)
Jersey Number
#19
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Ché Adams
Ché Adams
Current profile snapshot
Current Team
Torino
Position
Centre Forward
Also: Striker
Date of Birth
Jul 13, 1996 (29)
Jersey Number
#19
TactiQ Score
66.7
88% confidence
TactiQ Score v2
66.7
Form Score
61.8
Confidence
88%
Role
striker
League
Serie A
Per 90 minutes
Goals
0.25
Assists
0.10
Key Pass
1.28
Tackles
0.69
Rating
6.84
Multi-season trend
AI Analysis
Generated May 6, 2026

A Serie A striker sitting at 50.92 on the FQ scale — squarely in the typical-performer band, meeting minimum positional expectations without standing out in any measurable dimension. Across 31 matches (1,830 minutes), he averages 0.25 goals and 0.10 assists per 90, output that reflects replacement-level production for the role. All role-specific sub-scores (finishing, creation, progression) are null, meaning no dimension of his game can be confirmed as a genuine strength.

Why this score

The FQ score of 50.92 is driven primarily by thin offensive output — 0.25 goals per 90 is below what top-tier Serie A strikers produce — compounded by the absence of any sub-score above baseline to offset it. With finishing, creation, and progression all unscored, there is no data-supported dimension pulling the rating upward.

Form Trajectory

Form is stable — the form score of 49.73 sits just 1.19 points below the FQ score of 50.92, well within the ±5 stable range. No meaningful upward or downward momentum is evident from recent matches.

Similar Profiles
Players with comparable scoring profiles in the same role
Patrick Bamford

Bamford's FQ score of 51.55 places him at near-identical overall output level; the key difference is Bamford's injury history creates more sample volatility, whereas this player's 31-match season provides a more stable baseline.

Compare →
Jordan Ayew
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
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
1830
Goals
5
Assists
2
Key passes
26
Rating
6.84
Tackles
14
Shots on target
14
Successful dribbles
12
Clean sheets
11
2 Seasons Ago
TQ 62.2Form 62.5
Previous
TQ 65.5Form 66.3
Current
TQ 61.3Form 61.8
Per 90 minutes
Goals
0.25
Assists
0.10
Key Passes
1.28
Tackles
0.69
Rating
6.84

Ayew's 51.73 FQ score reflects a similarly mid-tier production profile; Ayew typically contributes more in wide areas, while this player operates as a central striker, making the positional context of their shared score range distinct.

Compare →
Callum Eddie Graham Wilson

Wilson's 49.41 FQ score is the closest match numerically, reflecting comparable replacement-level striker output; Wilson's profile is more injury-affected, which may explain the marginal gap.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
1830 minutes suggest a significant current role in the squad rotation.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive outcomes
11 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
Goal contribution rate

0.25 goals and 0.10 assists per 90 across 1,830 minutes is below what is typically expected of a starting striker in Serie A, with no finishing sub-score available to identify conversion efficiency as a mitigating factor.

Key pass volume

1.28 key passes per 90 is a notable figure for a striker, but without a creation sub-score it cannot be confirmed whether this translates into genuine chance quality or reflects a high-volume, low-efficiency pattern.

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 →