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Steve Davis (born 22 August 1957) is an English retired professional snooker player who is currently a commentator, DJ, electronic musician and author. He first turned professional in 1978 and dominated the sport in the 1980s, when he reached eight World Snooker Championship finals in nine years, won six world titles and held the world number one ranking…
The analysis highlights Legacy and Career as prominent areas in the source structure around Steve Davis.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Steve Davis shows recurring relationship patterns in the source. For example, Steve Davis → Be Really Interesting, Christmas, Davis, Geoff Atkinson, He, His, How, In, Interesting, Nicole Kidman Brain Training, Nintendo DS, Season, Spitting Image, Spitting Image's, Steve Davis Snooker, Steve Davis World Snooker, The Increasingly Poor Decisions, The Morecambe, Todd Margaret, Virtual Snooker Another extracted example is Steve Davis → 1981, 1983, 1984, 1987, 1988, 1989. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
davis world championship snooker final won first masters reached 16 uk professional lost player 10 win round season last losing
TTTA extracted 45 structured relationships around Steve Davis. Examples in this analysis include Steve Davis → Born → (1957-08-22) 22 August 1957 (age 69) Plumstead, London, England and Steve Davis → Century breaks → 338. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Steve Davis | Born | (1957-08-22) 22 August 1957 (age 69) Plumstead, London, England | 1.00 | infobox |
| Steve Davis | Century breaks | 338 | 1.00 | infobox |
| Steve Davis | Highest ranking | 1 (1983/84–1989/90) | 1.00 | infobox |
| Steve Davis | Maximum breaks | 1 | 1.00 | infobox |
| Steve Davis | Nickname | The Nugget | 1.00 | infobox |
| Steve Davis | Nickname | Romford Slim | 1.00 | infobox |
| Steve Davis | Nickname | Interesting | 1.00 | infobox |
| Steve Davis | Professional | 1978–2016 | 1.00 | infobox |
| Steve Davis | Ranking | 28 | 1.00 | infobox |
| Steve Davis | Sport country | England | 1.00 | infobox |
| Steve Davis | World Champion | 1981 | 1.00 | infobox |
| Steve Davis | World Champion | 1983 | 1.00 | infobox |
| Steve Davis | World Champion | 1984 | 1.00 | infobox |
| Steve Davis | World Champion | 1987 | 1.00 | infobox |
| Steve Davis | World Champion | 1988 | 1.00 | infobox |
| Steve Davis | World Champion | 1989 | 1.00 | infobox |
The concept neighborhoods around Steve Davis bring nearby vocabulary together. In this analysis, examples include Championship, Final and Snooker. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Steve Davis, one of the stronger structural bridges in this analysis connects Steve Davis with Career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Steve Davis to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Legacy & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Steve Davis · EN edition · Analysis: TopicsToTalkAbout