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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

Giovanni Simeone

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 5, 1995 (30)
Jersey Number
#18
League
Serie A
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Giovanni Simeone
Giovanni Simeone
Current profile snapshot
Current Team
Torino
Position
Centre Forward
Also: Striker
Date of Birth
Jul 5, 1995 (30)
Jersey Number
#18
TactiQ Score
67.5
90% confidence
TactiQ Score v2
67.5
Form Score
68.1
Confidence
90%
Role
striker
League
Serie A
Per 90 minutes
Goals
0.48
Assists
—
Key Pass
0.83
Tackles
0.61
Rating
6.88
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-range Serie A striker sitting at 54.55 on the FQ scale — adequate baseline output but no standout dimension separating him from typical performers. His 0.47 goals per 90 and 0.80 key passes per 90 across 1,908 minutes paint a picture of functional contribution without elite production. Sub-scores are unavailable, which limits deeper profiling, but the overall score places him squarely in the "adequate starter with clear gaps" band.

Why this score

With no finishing, creation, or progression sub-scores available, the FQ score of 54.55 is driven primarily by the per-90 output profile — a goals rate of 0.47 and a rating of 6.88 that sit around the middle of the striker baseline rather than above it. The absence of efficiency metrics (conversion rate, xG differential) means the score reflects volume and general contribution, not quality of chance-taking.

Form Trajectory

Form score of 64.13 sits 9.6 points above the FQ score of 54.55, signalling a clear upward trajectory — this is the most encouraging signal in the dataset. If sustained, recent output could begin to pull the baseline score upward, but the gap has not yet been maintained long enough to revise the overall assessment.

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

Nearly identical FQ score (53.66 vs 54.55) reflects a similar profile of functional but non-elite striker output; Silva tends to operate with higher shot volume, which may differentiate their underlying chance profiles.

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

9 metrics surfaced
Appearances
30
Minutes
2066
Goals
11
Key passes
19
Rating
6.88
Tackles
14
Shots on target
28
Successful dribbles
22
Clean sheets
11
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 57.4Form 57.4
Previous
TQ 60.0Form 59.8
Current
TQ 67.1Form 68.1
Per 90 minutes
Goals
0.48
Assists
—
Key Passes
0.83
Tackles
0.61
Rating
6.88
Jordan Ayew

Ayew's 51.73 FQ score places him in the same mid-range band, with comparable all-round contribution levels; Ayew typically offers more defensive pressing output, which may account for the marginal score difference.

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Patrick Bamford

Bamford's 51.55 FQ score reflects a similar ceiling for strikers in this tier; Bamford's profile historically skews toward higher xG involvement, making him a useful reference point if finishing sub-scores become available for this player.

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Heavy minute load
2066 minutes suggest a significant current role in the squad rotation.
Direct output
11 combined goals and assists are showing in live coverage.
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 output

0.47 goals per 90 across 28 appearances (1,908 minutes) is below what top-end Serie A strikers produce, and without xG or conversion data it is impossible to determine whether this reflects poor finishing or low-quality chances — a meaningful gap for a player whose primary job is scoring.

Creative contribution

0.80 key passes per 90 is a modest creative return for a striker; without a creation sub-score to contextualise it, this figure suggests limited involvement in build-up beyond basic link-up play.

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 →