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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

Federico Bonazzoli

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

Current Team
Cremonese
Position
Striker
Also: Attacker
Date of Birth
May 21, 1997 (28)
Jersey Number
#90
League
Serie A
Back to PlayersCompare PlayerOpen RankingsView Methodology
Federico Bonazzoli
Federico Bonazzoli
Current profile snapshot
Current Team
Cremonese
Position
Striker
Also: Attacker
Date of Birth
May 21, 1997 (28)
Jersey Number
#90
TactiQ Score
64.8
93% confidence
TactiQ Score v2
64.8
Form Score
64.3
Confidence
93%
Role
striker
League
Serie A
Per 90 minutes
Goals
0.31
Assists
0.08
Key Pass
0.51
Tackles
1.10
Rating
7.00
Multi-season trend
AI Analysis
Generated May 6, 2026

A fringe-level Serie A striker sitting at an FQ Score of 48.22 — below the baseline expectation for the role and in the bottom half of all scored players. Across 31 matches and 2,200 minutes this season, he has averaged just 0.29 goals and 0.08 assists per 90, output that falls short of what a starting striker in this league is expected to deliver. High data confidence (0.89) across a substantial sample means this is a consistent pattern, not a small-sample anomaly.

Why this score

The FQ Score of 48.22 is driven primarily by insufficient attacking production — 0.29 goals per 90 and 0.08 assists per 90 are below the baseline threshold for a striker role. With all dimensional sub-scores (finishing, creation, progression) returning null, the overall score is anchored entirely by these raw output figures, which consistently underperform positional norms.

Form Trajectory

Form is on a mild upward trajectory — the form score of 53.36 sits 5.1 points above the FQ Score of 48.22, just crossing the threshold for a positive trend signal. Both scores remain below 55, so while the direction is encouraging, the absolute level offers little comfort yet.

Similar Profiles
Players with comparable scoring profiles in the same role
Mostafa Mohamed Ahmed Abdallah

Nearly identical FQ Score (47.95 vs 48.22) places them at the same production tier; Mostafa operates in a similar fringe-starter profile but profiles in a different league context.

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
33
Minutes
2380
Goals
9
Assists
2
Key passes
13
Rating
7.02
Tackles
28
Shots on target
30
Successful dribbles
14
Clean sheets
9
2 Seasons Ago
TQ 55.6Form 55.8
Previous
TQ 58.6Form 58.9
Current
TQ 63.5Form 64.3
Per 90 minutes
Goals
0.31
Assists
0.08
Key Passes
0.51
Tackles
1.10
Rating
7.00
Oliver Burke

FQ Score of 47.87 reflects a comparable output level; Burke's profile skews more toward physical and transitional contribution rather than central finishing.

Compare →
Callum Eddie Graham Wilson

The closest FQ Score of the three at 49.41, suggesting a similar production ceiling; Wilson's injury history introduces availability risk that this player's 31-match season does not.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2380 minutes suggest a significant current role in the squad rotation.
Direct output
11 combined goals and assists are showing in live coverage.
Defensive activity
28 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
9 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

0.29 goals per 90 across 2,200 minutes is a meaningful shortfall for a striker — this volume, sustained over 31 matches with high data confidence (0.89), points to a consistent inability to convert at the rate the role demands.

Attacking involvement

0.08 assists and 0.49 key passes per 90 indicate limited creative contribution beyond the penalty area. For a striker expected to link play or generate chances, this is a notable gap.

Defensive contribution

1.06 tackles per 90 is an unusually high figure for a striker and may reflect a pressing-heavy role, but it does not offset the shortfall in primary attacking metrics that define value at this position.

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 →