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The 200 metres, or 200-meter dash, is a sprint running event. On an outdoor 400-metre racetrack, the race begins on the curve and ends on the home straight, so a combination of techniques is needed to successfully run the race. A slightly shorter race, called the stadion and run on a straight track, was the first recorded event at the ancient Olympic…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around 200 metres.
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 200 metres shows recurring relationship patterns in the source. For example, 200 metres → Frankie Fredericks (NAM) 19.92 (1996), Gout Gout (AUS) 19.67 (2026), Usain Bolt (JAM) 19.19 (2009), Usain Bolt (JAM) 19.30 (2008) Another extracted example is 200 metres → Christine Mboma (NAM) 21.78 (2021), Florence Griffith Joyner (USA) 21.34 (1988), Merlene Ottey (JAM) 21.87 (1993), Shericka Jackson (JAM) 21.41 (2023). 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.
ran also olympic 200 19 times metres 20 world 2026 21 record race straight 2023 women 22 men 26 run
TTTA extracted 10 structured relationships around 200 metres. Examples in this analysis include 200 metres → Men → Usain Bolt (JAM) 19.19 (2009) and 200 metres → Men → Frankie Fredericks (NAM) 19.92 (1996). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| 200 metres | Men | Usain Bolt (JAM) 19.19 (2009) | 1.00 | infobox |
| 200 metres | Men | Frankie Fredericks (NAM) 19.92 (1996) | 1.00 | infobox |
| 200 metres | Men | Usain Bolt (JAM) 19.30 (2008) | 1.00 | infobox |
| 200 metres | Men | Gout Gout (AUS) 19.67 (2026) | 1.00 | infobox |
| 200 metres | Women | Florence Griffith Joyner (USA) 21.34 (1988) | 1.00 | infobox |
| 200 metres | Women | Merlene Ottey (JAM) 21.87 (1993) | 1.00 | infobox |
| 200 metres | Women | Shericka Jackson (JAM) 21.41 (2023) | 1.00 | infobox |
| 200 metres | Women | Christine Mboma (NAM) 21.78 (2021) | 1.00 | infobox |
| 200 metres | see also | Sport | 0.60 | section |
| 200 metres | see also | National | 0.60 | section |
The concept neighborhoods around 200 metres bring nearby vocabulary together. In this analysis, examples include Record, Games and Men. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the 200 metres map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around 200 metres to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — 200 metres · EN edition · Analysis: TopicsToTalkAbout