TactiQ
Sign InGet Started
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.

Deterministic scoringMulti-agent consensus gatedPublication gate active
Core
PlayersClubsMatchesWorld Cup 2026Roadmap
Product
CompareRankingsForecastMethodologyMembership
Legal
PrivacyTerms© 2026 TactiQ. All rights reserved.
Player Profile

Loading player profile...

Pulling current player details into TactiQ.

Player Profile

Patrick Bamford

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

Current Team
Sheffield United
Position
Centre Forward
Also: Striker
Date of Birth
Sep 5, 1993 (32)
Jersey Number
#45
League
Premier League
Back to PlayersCompare PlayerOpen RankingsView Methodology
Patrick Bamford
Patrick Bamford
Current profile snapshot
Current Team
Sheffield United
Position
Centre Forward
Also: Striker
Date of Birth
Sep 5, 1993 (32)
Jersey Number
#45
TactiQ Score
62.8
77% confidence
TactiQ Score v2
62.8
Form Score
59.4
Confidence
77%
Role
striker
League
Premier League
Per 90 minutes
Goals
0.24
Assists
0.12
Key Pass
0.71
Tackles
0.53
Rating
6.75
Multi-season trend
AI Analysis
Generated May 6, 2026

A mid-tier Premier League striker sitting at 51.55 on the FQ scale — squarely in the typical performer band. Across 28 matches and 1,521 minutes this season, output is modest: 0.24 goals per 90 and 0.12 assists per 90, with no sub-score dimension clearing the threshold for a standout quality. The most notable characteristic here is the absence of any elite marker rather than the presence of a clear weakness.

Why this score

The FQ score of 51.55 is driven by uniformly mid-range production — 0.24 goals per 90 and 0.71 key passes per 90 are functional but below what separates typical from above-average strikers. The absence of granular finishing, creation, and progression sub-scores means no single dimension could pull the composite higher.

Form Trajectory

Form score of 48.33 sits 3.2 points below the FQ score of 51.55 — within the ±5 stable range, but on the softer side. Trajectory is best described as stable-to-slightly-declining, with no acute concern but no upward momentum either.

Similar Profiles
Players with comparable scoring profiles in the same role
Jordan Ayew

Nearly identical FQ scores (Ayew 51.73 vs 51.55) reflect a similar profile of consistent but unspectacular Premier League contribution; Ayew has historically offered more positional versatility across the front line.

Compare →
André Miguel Valente Silva
Rankings
See where this player sits across all scored players.

Top 50 players by TactiQ Score — filter by position, form, and confidence.

Open Rankings →
Compare
Put this player next to another and find the real edges.

TactiQ Score, form, confidence, and season stats compared side by side — instantly.

Compare Player →
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
28
Minutes
1521
Goals
4
Assists
2
Key passes
12
Rating
6.75
Tackles
9
Shots on target
17
Successful dribbles
11
Clean sheets
3
2 Seasons Ago
TQ 74.2Form 75.3
Previous
TQ 57.9Form 57.9
Current
TQ 58.8Form 59.4
Per 90 minutes
Goals
0.24
Assists
0.12
Key Passes
0.71
Tackles
0.53
Rating
6.75

André Silva's 53.66 FQ score places him marginally above in the same typical-performer band, with a comparable role profile; Silva's scoring record in top European leagues suggests slightly higher finishing efficiency.

Compare →
Callum Eddie Graham Wilson

Wilson's 49.41 FQ score is the closest lower comparator, reflecting a similar output ceiling; Wilson's profile is more injury-affected, which partly explains the gap rather than a meaningful quality difference.

Compare →
Current indicators
What the live season sample is surfacing right now
Season sample available
28 appearances are currently surfaced by the live data layer.
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

0.24 goals per 90 across 1,521 minutes is below the threshold expected of a reliable Premier League starter at striker. This is the most consequential gap for the role.

Attacking creation

0.71 key passes per 90 and 0.12 assists per 90 are functional but do not compensate for the low scoring rate — a striker carrying creative load at this volume without finishing returns offers limited upside.

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 →