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Peter Shearing: Measurement & Overview

Peter Fraser Shearing (born 26 August 1938) is an English former professional footballer who played as a goalkeeper. He played professionally for West Ham United, Portsmouth, Exeter City, Plymouth Argyle, Bristol Rovers and Gillingham between 1960 and 1973, and in total made 245 appearances in the Football League. He also won an FA Amateur Cup winners…

Language: English [EN]
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Peter Shearing topic overview

The analysis highlights Measurement and Overview as prominent areas in the source structure around Peter Shearing.

Related topics
11
Source areas
1
Connected nodes
12
Extracted relationships
12
Concept neighborhoods
13
Bridge connections
12

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 11 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

1960–1961
West Ham United
1961–1964
Portsmouth
1964–1966
Exeter City
1966–1968
Plymouth Argyle
1968–1971
Exeter City
1971
Bristol Rovers

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Peter Shearing connects Entity context

The extracted context around Peter Shearing shows recurring relationship patterns in the source. For example, Peter Shearing → West Ham United Another extracted example is Peter Shearing → Portsmouth. Use these groups to spot repeated connection types before inspecting the individual relationships.

Peter Shearing

Top relations

1960–1961 · 1
Peter Shearing → West Ham United
1961–1964 · 1
Peter Shearing → Portsmouth
1964–1966 · 1
Peter Shearing → Exeter City
1966–1968 · 1
Peter Shearing → Plymouth Argyle
1968–1971 · 1
Peter Shearing → Exeter City
1971 · 1
Peter Shearing → Bristol Rovers
1971–1973 · 1
Peter Shearing → Gillingham
Date of birth · 1
Peter Shearing → (1938-08-26) 26 August 1938 (age 87)
Full name · 1
Peter Shearing → Peter Fraser Shearing
Place of birth · 1
Peter Shearing → Uxbridge, England

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

1960 goalkeeper portsmouth gillingham played peter fraser shearing west ham united exeter city plymouth argyle bristol rovers 1973 total appearances

Peter Shearing relationships Subject–Predicate–Object triples

TTTA extracted 12 structured relationships around Peter Shearing. Examples in this analysis include Peter Shearing → 1960–1961 → West Ham United and Peter Shearing → 1961–1964 → Portsmouth. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Peter Shearing1960–1961West Ham United1.00infobox
Peter Shearing1961–1964Portsmouth1.00infobox
Peter Shearing1964–1966Exeter City1.00infobox
Peter Shearing1966–1968Plymouth Argyle1.00infobox
Peter Shearing1968–1971Exeter City1.00infobox
Peter Shearing1971Bristol Rovers1.00infobox
Peter Shearing1971–1973Gillingham1.00infobox
Peter ShearingDate of birth(1938-08-26) 26 August 1938 (age 87)1.00infobox
Peter ShearingFull namePeter Fraser Shearing1.00infobox
Peter ShearingPlace of birthUxbridge, England1.00infobox
Peter ShearingPositionGoalkeeper1.00infobox
Peter ShearingYearsTeam1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Peter Shearing bring nearby vocabulary together. In this analysis, examples include Goalkeeper, Shearing and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Peter Shearing
    • Goalkeeper
    • Shearing
    • Also
    • Amateur
    • August
    • Born
    • Cup
    • English
    • Fa
    • Footballer
    • Former
    • Hendon
  • peter shearing
    • Goalkeeper
    • Shearing
    • Also
    • Amateur
    • August
    • Born
    • Cup
    • English
    • Fa
    • Footballer
    • Former
    • Hendon
  • goalkeeper
    • Peter
    • Shearing
    • Also
    • Amateur
    • Cup
    • Fa
    • Hendon
    • Professional
    • Winners
    • Won
    • Argyle
    • Bristol
  • west ham united
    • Appearances
    • Argyle
    • Bristol
    • City
    • Exeter
    • Gillingham
    • League
    • Plymouth
    • Portsmouth
    • Rovers
    • Total
    • United
  • exeter city
    • Appearances
    • Argyle
    • Bristol
    • City
    • Exeter
    • Gillingham
    • Ham
    • League
    • Plymouth
    • Portsmouth
    • Rovers
    • Total
  • plymouth argyle
    • Appearances
    • Bristol
    • City
    • Exeter
    • Gillingham
    • Ham
    • League
    • Plymouth
    • Portsmouth
    • Rovers
    • Total
    • United
  • bristol rovers
    • Appearances
    • City
    • Exeter
    • Gillingham
    • Ham
    • League
    • Plymouth
    • Portsmouth
    • Rovers
    • Total
    • United
    • West
  • fa amateur cup
    • Amateur
    • Cup
    • Fa
    • Hendon
    • Winners
    • Won
    • Appearances
    • Argyle
    • Bristol
    • City
    • Exeter
    • Fraser

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Peter Shearing map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Peter Shearing

Nodes13
Edges12
Triples12
Avg. degree1.85
Density0.153846
Components1

Source & methodology

TTTA analyzes the structure around Peter Shearing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Peter Shearing · EN edition · Analysis: TopicsToTalkAbout

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