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Mark Anthony Selby (born 19 June 1983) is an English professional snooker player. Ranked world number one on multiple occasions, he has won a total of 26 ranking titles, placing him joint-seventh on the all-time list of ranking tournament winners. He is a four-time World Snooker Champion, and has won the Masters and the UK Championship three times each…
The analysis highlights Career, Personal life and Pool career as prominent areas in the source structure around Mark Selby.
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 Mark Selby shows recurring relationship patterns in the source. For example, Mark Selby → April, February, Global Snooker, LivingSnooker, Mark Selby's, October, Profile, Snooker, Snooker Database, Wayback Machine, World Snooker TourMark Selby, WPBSAMark Selby Another extracted example is Mark Selby → 2014, 2016, 2017, 2021. 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.
selby world championship final first won open masters season 10 title lost ranking defeated round match snooker one mark quarter-finals
TTTA extracted 26 structured relationships around Mark Selby. Examples in this analysis include Mark Selby → Born → (1983-06-19) 19 June 1983 (age 43) Leicester, England and Mark Selby → Century breaks → 968 (as of 23 August 2026). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mark Selby | Born | (1983-06-19) 19 June 1983 (age 43) Leicester, England | 1.00 | infobox |
| Mark Selby | Century breaks | 968 (as of 23 August 2026) | 1.00 | infobox |
| Mark Selby | Current ranking | 5 (as of 17 August 2026) | 1.00 | infobox |
| Mark Selby | Highest ranking | 1 (Sep 2011–Nov 2012; Dec 2012–Feb 2013; Apr–Jun 2013; May–Jul 2014; Aug–Dec 2014; Feb 2015–Mar 2019; Aug–Oct 2021; Nov 2021–Apr 2022) | 1.00 | infobox |
| Mark Selby | Maximum breaks | 6 | 1.00 | infobox |
| Mark Selby | Minor-ranking | 7 | 1.00 | infobox |
| Mark Selby | Nickname | The Jester from Leicester | 1.00 | infobox |
| Mark Selby | Professional | 1999–present | 1.00 | infobox |
| Mark Selby | Ranking | 26 | 1.00 | infobox |
| Mark Selby | Sport country | England | 1.00 | infobox |
| Mark Selby | World Champion | 2014 | 1.00 | infobox |
| Mark Selby | World Champion | 2016 | 1.00 | infobox |
| Mark Selby | World Champion | 2017 | 1.00 | infobox |
| Mark Selby | World Champion | 2021 | 1.00 | infobox |
The concept neighborhoods around Mark Selby bring nearby vocabulary together. In this analysis, examples include Masters, Final and Lost. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Mark Selby, one of the stronger structural bridges in this analysis connects Mark Selby 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 Mark Selby to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Personal life & Pool career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Mark Selby · EN edition · Analysis: TopicsToTalkAbout