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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.

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Launch
World Cup as the launch amplifier
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Public roadmap and visible system progress
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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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Pulling current player details into TactiQ.

Player Profile

Tyler Adams

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

Current Team
AFC Bournemouth
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Feb 14, 1999 (27)
Jersey Number
#12
League
Premier League
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Tyler Adams
Tyler Adams
Current profile snapshot
Current Team
AFC Bournemouth
Position
Defensive Midfield
Also: Defensive Midfielder
Date of Birth
Feb 14, 1999 (27)
Jersey Number
#12
TactiQ Score
67.1
80% confidence
TactiQ Score v2
67.1
Form Score
64.8
Confidence
80%
Role
defensive_midfielder
League
Premier League
Per 90 minutes
Goals
0.11
Assists
0.11
Key Pass
0.39
Tackles
2.48
Rating
6.81
Multi-season trend
AI Analysis
Generated May 6, 2026

A defensive midfielder sitting at 50.3 on the FQ scale — squarely in the typical performer band — with 21 Premier League appearances (1,483 minutes) this season. The most notable data point is 2.61 tackles per 90, which provides the clearest signal of his defensive engagement, but the absence of all role-specific sub-scores (defense, progression, creation, possession control) limits how precisely his profile can be drawn. At this score level, he is not separating himself from the baseline for his position.

Why this score

With all dimension sub-scores returning null, the FQ score of 50.3 is driven primarily by aggregate output metrics rather than granular role efficiency. The 6.79 average match rating and modest 0.12 goals and 0.12 assists per 90 point to a player contributing at — but not above — the expected floor for a Premier League defensive midfielder.

Form Trajectory

Form score of 47.4 sits 2.9 points below the FQ score of 50.3 — within the ±5 stable range, so this is not a meaningful concern, but the direction is mildly negative. No acceleration or recovery in recent form is evident.

Similar Profiles
Players with comparable scoring profiles in the same role
Ibrahim Sangaré

Sangaré scores 50.51 — nearly identical to this player's 50.3 — placing both in the same typical performer band for defensive midfielders; Sangaré's profile may carry more physical duel volume given his stylistic reputation, but the FQ scores converge at this level.

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
1599
Goals
2
Assists
2
Key passes
7
Rating
6.81
Tackles
44
Shots on target
6
Successful dribbles
6
Clean sheets
8
2 Seasons Ago
TQ 66.0Form 66.3
Previous
TQ 69.6Form 70.3
Current
TQ 64.2Form 64.8
Per 90 minutes
Goals
0.11
Assists
0.11
Key Passes
0.39
Tackles
2.48
Rating
6.81
João Maria Lobo Alves Palhinha Gonçalves

Palhinha's 50.64 FQ score sits just 0.3 points above this player, making them near-identical in overall output rating; Palhinha is generally associated with higher tackle and interception volume, suggesting a more defensively specialized profile within the same score band.

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Stanislav Lobotka

Lobotka's 49.15 FQ score is the closest below this player's 50.3; where Lobotka's value is typically tied to possession control and pass progression, this player's profile lacks the sub-score data to confirm or deny a similar distribution of strengths.

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Current indicators
What the live season sample is surfacing right now
Defensive activity
44 tackles indicate active intervention volume in the current season sample.
Defensive outcomes
8 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
Attacking contribution

0.12 goals and 0.12 assists per 90, with just 0.24 key passes per 90 — all below what is typically expected even from a defensive midfielder in the Premier League, where ball-playing and transitional output are increasingly demanded from the position.

Dimension-level clarity

All six role-specific sub-scores (finishing, creation, progression, defense, possession control, physical duel) are null, meaning no individual area of his game can be confirmed as a strength. The 2.61 tackles per 90 is the only granular metric available and cannot be benchmarked without a defense sub-score.

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 →