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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

Harry Kane

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

Current Team
FC Bayern München
Position
Centre Forward
Also: Striker
Date of Birth
Jul 28, 1993 (32)
Jersey Number
#9
League
Bundesliga
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Harry Kane
Harry Kane
Current profile snapshot
Current Team
FC Bayern München
Position
Centre Forward
Also: Striker
Date of Birth
Jul 28, 1993 (32)
Jersey Number
#9
TactiQ Score
87.6
93% confidence
TactiQ Score v2
87.6
Form Score
85.9
Confidence
93%
Role
striker
League
Bundesliga
Per 90 minutes
Goals
1.30
Assists
0.20
Key Pass
1.53
Tackles
0.71
Rating
7.80
Multi-season trend
AI Analysis
Generated May 8, 2026

A hyper-specialist striker in the Bundesliga whose finishing sub-score of 93.64 ranks at elite calibre — the defining feature of his profile. Across 28 matches (2,155 minutes) this season, he is averaging 1.38 goals per 90, a rate that places him among the most prolific scorers in the division. His TQ Score of 80.51 reflects a player who is notably above the typical starter baseline, though his value is almost entirely concentrated in one dimension.

Why this score

The finishing sub-score of 93.64 is the primary driver of the 80.51 TQ Score, pulling the overall number well above what the remaining sub-scores — creation (50.06), progression (33.13), possession control (36.48), physical duels (37.34) — would suggest on their own. The 60-point spread between his highest and lowest dimensions is the defining structural feature of this evaluation.

Form Trajectory

Form score of 81.71 sits just 1.2 points above the TQ Score of 80.51 — within the ±5 stable band. There is no meaningful upward or downward trend; this is a consistent, predictable output profile with no signs of acceleration or decline.

Similar Profiles
Players with comparable scoring profiles in the same role
Erling Håland

Both are high-volume, finishing-dominant strikers with limited creative or progressive sub-scores; Håland's TQ Score of 75.81 is lower, reflecting a different scoring context rather than a gap in finishing quality.

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
30
Minutes
2289
Goals
33
Assists
5
Key passes
39
Rating
7.80
Tackles
18
Shots on target
64
Successful dribbles
31
Clean sheets
11
2 Seasons Ago
TQ 83.0Form 85.4
Previous
TQ 81.5Form 83.6
Current
TQ 85.0Form 85.9
Per 90 minutes
Goals
1.30
Assists
0.20
Key Passes
1.53
Tackles
0.71
Rating
7.80
Kylian Mbappé Lottin

Mbappé's higher TQ Score of 85.54 reflects a broader contribution profile — stronger progression and creation — whereas this player's value is more narrowly concentrated in pure finishing.

Compare →
Ousmane Dembélé

Similar TQ Score band (75.56 vs 80.51), but Dembélé's profile is creation-led rather than finishing-led, making them near-opposites in how their value is distributed across sub-scores.

Compare →
Current indicators
What the live season sample is surfacing right now
Heavy minute load
2289 minutes suggest a significant current role in the squad rotation.
Strong current rating
Live rating sits at 7.80 in the current season snapshot.
Direct output
38 combined goals and assists are showing in live coverage.
Creative involvement
Current snapshot shows meaningful chance supply and final-third contribution.
Strengths
Where this player is genuinely above baseline
Finishing

Sub-score of 93.64 is elite by any standard on the 0-100 scale. His 1.38 goals per 90 across 2,155 minutes this season reflects sustained, high-volume conversion rather than a small-sample spike.

Overall output rate

A match rating of 7.9 per 90 alongside 1.38 goals and 0.21 assists per 90 confirms consistent match-level impact concentrated in the final third.

Watchpoints
Real gaps relative to this player's role
Chance creation

Creation sub-score of 50.06 sits around the middle of the scale — adequate for a pure striker, but his 1.55 key passes per 90 suggests he is not a player who generates danger for teammates beyond his own finishing.

Progression & ball-carrying

Progression sub-score of 33.13 is below baseline even for the striker role, indicating limited contribution to advancing play through carries or progressive passes — his involvement is heavily arrival-focused rather than build-up-focused.

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 →