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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.

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

Martin Ødegaard

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

Current Team
Arsenal
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Dec 17, 1998 (27)
Jersey Number
#8
League
Premier League
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Martin Ødegaard
Martin Ødegaard
Current profile snapshot
Current Team
Arsenal
Position
Attacking Midfield
Also: Attacking Midfielder
Date of Birth
Dec 17, 1998 (27)
Jersey Number
#8
TactiQ Score
73.2
75% confidence
TactiQ Score v2
73.2
Form Score
70.4
Confidence
75%
Role
attacking_midfielder_creator
League
Premier League
Per 90 minutes
Goals
0.07
Assists
0.36
Key Pass
2.72
Tackles
1.36
Rating
6.98
Multi-season trend
AI Analysis
Generated May 9, 2026

An attacking midfielder operating in the Premier League with a TQ Score of 67.28 — adequate starter territory, sitting in the 60-69 band where clear gaps exist alongside consistent contributions. The most distinctive feature of this profile is a key pass rate of 2.72 per 90, which stands out as the primary creative output marker, while goal threat is minimal at 0.07 per 90. With 22 matches and 1,257 minutes this season, the sample is substantial enough to treat this read as reliable.

Why this score

The TQ Score of 67.28 is driven primarily by creative volume — 2.72 key passes per 90 and 0.36 assists per 90 anchor the profile as a genuine chance creator. All dimensional sub-scores are null in this dataset, so the aggregate score cannot be broken down further by finishing, progression, or defensive contribution; the overall figure reflects sustained creative output without granular confirmation of where the ceiling or floor sits.

Form Trajectory

Form score of 61.97 sits 5.3 points below the TQ Score of 67.28 — at the threshold of a soft decline, indicating recent output is running below the player's established baseline. This is not yet a meaningful concern, but the direction warrants monitoring over the next 4-6 matches.

Similar Profiles
Players with comparable scoring profiles in the same role
Eberechi Eze

Eze's TQ Score of 66.06 is nearly identical, placing both players in the same adequate-starter band as Premier League attacking midfielders; this player edges Eze on raw TQ Score by 1.2 points but the profiles are closely matched in overall output tier.

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
23
Minutes
1280
Goals
1
Assists
6
Key passes
39
Rating
6.97
Tackles
19
Shots on target
8
Successful dribbles
10
Clean sheets
11
2 Seasons Ago
TQ 82.3Form 82.1
Previous
TQ 74.5Form 74.5
Current
TQ 70.1Form 70.4
Per 90 minutes
Goals
0.07
Assists
0.36
Key Passes
2.72
Tackles
1.36
Rating
6.98
Philip Foden

Foden's TQ Score of 68.82 is the ceiling of this comparable group, reflecting marginally stronger aggregate contribution in the same role and league; the gap of 1.54 TQ points suggests Foden is producing at a slightly more consistent level across the season.

Compare →
Dominik Szoboszlai

Szoboszlai's TQ Score of 65.55 sits just below this player's 67.28, making him the closest lower-bound comparable — both profile as high-volume creators in top leagues, though this player's key pass rate gives them a narrow creative edge in the 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
19 tackles indicate active intervention volume in the current season sample.
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 contribution

0.07 goals per 90 is well below what is typically expected of an attacking midfielder in the Premier League, meaning the creative load is not complemented by direct finishing threat — the player functions as a pure creator rather than a dual-threat operator.

Dimensional visibility

All six sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning it is not possible to confirm whether the 67.28 TQ Score reflects balanced contribution or is carried by one or two dimensions — a meaningful limitation for role-fit assessment.

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 →