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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

Alexander Sørloth

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

Current Team
Atlético Madrid
Position
Centre Forward
Also: Striker
Date of Birth
Dec 5, 1995 (30)
Jersey Number
#9
League
La Liga
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Alexander Sørloth
Alexander Sørloth
Current profile snapshot
Current Team
Atlético Madrid
Position
Centre Forward
Also: Striker
Date of Birth
Dec 5, 1995 (30)
Jersey Number
#9
TactiQ Score
74.6
88% confidence
TactiQ Score v2
74.6
Form Score
69.9
Confidence
88%
Role
striker
League
La Liga
Per 90 minutes
Goals
0.58
Assists
—
Key Pass
0.48
Tackles
0.63
Rating
6.79
Multi-season trend
AI Analysis
Generated Apr 30, 2026

A La Liga striker sitting at 64.73 on the FQ scale — adequate starter territory, consistent enough to hold a starting berth but without the multi-dimensional output that separates top-end forwards. The most distinctive data point is a 0.66 tackles per 90, unusually high for a striker, suggesting meaningful defensive contribution off the ball. Sub-score detail is absent across all dimensions, which limits how precisely this profile can be read.

Why this score

With all sub-scores (finishing, creation, progression, defense) returning null, the 64.73 FQ score is driven primarily by aggregate per-90 output — 0.61 goals per 90 and a 6.81 average rating across 1,770 minutes. There is no finishing efficiency or xG data available to determine whether that goal rate reflects clinical conversion or high volume; that gap is the single biggest constraint on pushing this score higher.

Form Trajectory

Form score of 62.53 sits 2.2 points below the FQ score of 64.73 — within the ±5 stable band, so this is not a meaningful concern, but the direction is mildly negative. Note that the underlying data is approximately 50 hours old, introducing minor recency uncertainty.

Similar Profiles
Players with comparable scoring profiles in the same role
Jean-Philippe Mateta

Both sit in the 63–65 FQ range as direct strikers with consistent but not elite output; Mateta's profile is better documented with available sub-scores, giving his rating more granular support than this player's null sub-score set.

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
32
Minutes
1860
Goals
12
Key passes
10
Rating
6.79
Tackles
13
Shots on target
33
Successful dribbles
12
Clean sheets
12
Current indicators
What the live season sample is surfacing right now
2 Seasons Ago
TQ 78.7Form 81.3
Previous
TQ 75.4Form 81.0
Current
TQ 65.7Form 69.9
Per 90 minutes
Goals
0.58
Assists
—
Key Passes
0.48
Tackles
0.63
Rating
6.79
Antoine Griezmann

Comparable FQ band at 66.16 and both operate in La Liga, but Griezmann's score is underpinned by creation and progression contributions that extend well beyond pure finishing, a dimension this player's data cannot confirm.

Compare →
Iago Aspas Juncal

Nearest FQ peer at 66.39 and a La Liga striker benchmark; Aspas typically contributes more heavily in key passes and chance creation per 90, whereas this player's 0.51 key passes per 90 trails that creative output.

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Heavy minute load
1860 minutes suggest a significant current role in the squad rotation.
Direct output
12 combined goals and assists are showing in live coverage.
Defensive outcomes
12 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
Finishing clarity

The finishing sub-score is null — no shot conversion rate, xG, or xG overperformance data is present. The 0.61 goals per 90 across 31 matches is a reasonable baseline for a La Liga starter, but without efficiency metrics it is impossible to determine whether this represents quality finishing or simply volume.

Chance creation

Creation sub-score is null. Key passes sit at 0.51 per 90, which is below what would be expected from a striker contributing meaningfully as a secondary creator. For a forward in La Liga, this limits their value in build-up phases.

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 →