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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

Giovani Lo Celso

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

Current Team
Real Betis
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Apr 9, 1996 (30)
Jersey Number
#20
League
La Liga
Back to PlayersCompare PlayerOpen RankingsView Methodology
Giovani Lo Celso
Giovani Lo Celso
Current profile snapshot
Current Team
Real Betis
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Apr 9, 1996 (30)
Jersey Number
#20
TactiQ Score
71.4
76% confidence
TactiQ Score v2
71.4
Form Score
66.3
Confidence
76%
Role
attacking_midfielder_creator
League
La Liga
Per 90 minutes
Goals
0.14
Assists
0.22
Key Pass
2.01
Tackles
1.29
Rating
7.06
Multi-season trend
AI Analysis
Generated Apr 30, 2026

An adequate starter in La Liga's attacking midfielder/creator role, sitting at 61.79 on the FQ scale — a mid-tier score indicating consistent but unspectacular output. The most distinctive visible metric is 1.98 key passes per 90, which anchors their value as a distributor, while 0.15 goals and 0.15 assists per 90 reflect limited end-product contribution. With all role-specific sub-scores absent, the full picture of their creation and progression quality cannot be confirmed.

Why this score

The FQ score of 61.79 reflects a player meeting baseline positional expectations without exceeding them — the absence of all granular sub-scores (finishing, creation, progression, defense) means the score is driven primarily by surface-level volume metrics rather than confirmed quality across dimensions. The 1.98 key passes per 90 is the strongest visible signal, but without a creation sub-score to validate efficiency, the ceiling of this assessment is capped.

Form Trajectory

Form score of 54.93 sits 6.86 points below the FQ score of 61.79, signalling a soft-to-meaningful decline — recent output is running below their own established baseline, though not yet at a level that suggests structural breakdown. This is a trend worth monitoring over the next 4–6 matches.

Similar Profiles
Players with comparable scoring profiles in the same role
Kevin De Bruyne

Both sit in the 61–64 FQ band as attacking midfielder/creators in top European leagues, though De Bruyne's 63.51 reflects a higher ceiling and his comparable score likely reflects injury-affected sample rather than true output equivalence.

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
21
Minutes
1252
Goals
2
Assists
3
Key passes
28
Rating
7.06
Tackles
18
Shots on target
10
Successful dribbles
16
Clean sheets
6
2 Seasons Ago
TQ 70.7Form 70.9
Previous
TQ 74.2Form 74.3
Current
TQ 66.4Form 66.3
Per 90 minutes
Goals
0.14
Assists
0.22
Key Passes
2.01
Tackles
1.29
Rating
7.06
Alexis Claude Maurice

Claude Maurice's 59.85 FQ score places him in the same mid-tier creator bracket, making him the closest output peer; the key difference is that this player's 1.98 key passes per 90 may represent a stronger distribution volume than Claude Maurice's profile.

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Bernardo Mota Veiga de Carvalho e Silva

A near-identical FQ score of 59.68 puts Bernardo Mota in the same performance band, though his role context and league environment may differ, making direct efficiency comparisons unreliable without sub-score data.

Compare →
Current indicators
What the live season sample is surfacing right now
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Defensive activity
18 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
End product

0.15 goals and 0.15 assists per 90 over 1,181 minutes this season is below what a La Liga attacking midfielder/creator role typically demands — combined direct output of 0.30 per 90 leaves little margin for error elsewhere.

Role-specific quality (unconfirmed)

All four sub-scores — finishing, creation, progression, and defense — are null. For a creator role, the absence of a creation and progression sub-score means the 1.98 key passes per 90 cannot be contextualised against efficiency or chance quality benchmarks.

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 →