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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
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Public roadmap and visible system progress
The standard
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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

Morgan Gibbs-White

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

Current Team
Nottingham Forest
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jan 27, 2000 (26)
Jersey Number
#10
League
Premier League
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Morgan Gibbs-White
Morgan Gibbs-White
Current profile snapshot
Current Team
Nottingham Forest
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Jan 27, 2000 (26)
Jersey Number
#10
TactiQ Score
74.2
97% confidence
TactiQ Score v2
74.2
Form Score
68.3
Confidence
97%
Role
attacking_midfielder_creator
League
Premier League
Per 90 minutes
Goals
0.40
Assists
0.12
Key Pass
1.41
Tackles
0.61
Rating
7.03
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A mid-tier attacking midfielder/creator in the Premier League, sitting at an FQ Score of 64.72 — placing them in the adequate starter band where clear gaps exist alongside consistent baseline contribution. The most distinctive feature of this profile is its reliability: 94% score confidence across 34 matches and 2,912 minutes makes this one of the more trustworthy reads at this score level. Production is steady rather than standout, with no dimension reaching elite territory.

Why this score

The 64.72 FQ Score reflects consistent mid-tier output for the creator role — 1.39 key passes per 90 and a 7.04 average rating anchor the composite, but the absence of any sub-score above the 70 threshold means no single dimension is pulling the overall figure higher. All four granular sub-scores (creation, progression, finishing, defense) are null, which limits precision but does not undermine the composite given 94% score confidence.

Form Trajectory

Form is in soft decline: the form score of 59.24 sits 5.48 points below the established FQ Score of 64.72, just crossing the threshold for a meaningful downward trend. The decline is modest rather than alarming, but recent output is running below this player's own historical baseline.

Similar Profiles
Players with comparable scoring profiles in the same role
Andrej Kramarić

Kramarić's FQ Score of 64.98 is nearly identical, reflecting a similar tier of consistent but non-elite attacking output; the key difference is Kramarić operates in a more defined finishing role, whereas this player's profile is built around chance creation.

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
35
Minutes
2932
Goals
13
Assists
4
Key passes
46
Rating
7.03
Tackles
20
Shots on target
28
Successful dribbles
25
Clean sheets
9
2 Seasons Ago
TQ 76.3Form 76.0
Previous
TQ 73.5Form 73.3
Current
TQ 68.6Form 68.3
Per 90 minutes
Goals
0.40
Assists
0.12
Key Passes
1.41
Tackles
0.61
Rating
7.03
Julian Brandt

Brandt's 65.2 FQ Score places him in the same mid-tier band with a comparable creator role bucket; Brandt typically carries stronger progression metrics, which may account for the marginal score gap.

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Romano Schmid

Schmid's 65.44 FQ Score is the closest ceiling in this comparable set, sharing a similar attacking midfielder profile; Schmid's output comes in a lower-difficulty league context, making this player's Premier League environment a meaningful differentiator.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2932 minutes suggest a significant current role in the squad rotation.
Direct output
17 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
Assist output

0.09 assists per 90 is low for an attacking midfielder/creator role, where converting key pass volume into direct assists is a core expectation. At 1.39 key passes per 90, the conversion rate to assists is notably thin, suggesting end-product consistency is a gap.

Chance creation ceiling

With all creation and progression sub-scores null and no evidence of elite composite output (FQ Score 64.72, well below the 78+ above-average threshold), the player does not appear to be a high-leverage creator despite operating in that role bucket.

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 →