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In cricket, a player's bowling average is the number of runs they have conceded per wicket taken. The lower the bowling average is, the better the bowler is performing. It is one of a number of statistics used to compare bowlers, commonly used alongside the economy rate and the strike rate to judge the overall performance of a bowler.
The analysis highlights Measurement, Records and Calculation as prominent areas in the source structure around Bowling average.
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 Bowling average shows recurring relationship patterns in the source. For example, Bowling average → For, Howa Bowl, Most, Other, South African, Test, The, Vincent Barnes Another extracted example is Bowling average → Bowling, Runs, The, Wickets. 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.
average wickets cricket bowling runs bowler conceded number taken test record espncricinfo one wicket players deliveries cricketarchive bowlers criteria bowled
TTTA extracted 14 structured relationships around Bowling average. Examples in this analysis include Bowling average → is a → number of runs they have conceded per wicket taken and Bowling average → related to Calculation → The. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bowling average | is a | number of runs they have conceded per wicket taken | 0.90 | text |
| Bowling average | related to Calculation | The | 0.60 | section |
| Bowling average | related to Calculation | Bowling | 0.60 | section |
| Bowling average | related to Calculation | Runs | 0.60 | section |
| Bowling average | related to Calculation | Wickets | 0.60 | section |
| Bowling average | related to Records | Due | 0.60 | section |
| Bowling average | related to Variations | Most | 0.60 | section |
| Bowling average | related to Variations | The | 0.60 | section |
| Bowling average | related to Variations | Test | 0.60 | section |
| Bowling average | related to Variations | Howa Bowl | 0.60 | section |
| Bowling average | related to Variations | South African | 0.60 | section |
| Bowling average | related to Variations | Vincent Barnes | 0.60 | section |
The concept neighborhoods around Bowling average bring nearby vocabulary together. In this analysis, examples include Number, Taken and Conceded. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Bowling average, one of the stronger structural bridges in this analysis connects Bowling average with Records. 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 Bowling average to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Records & Calculation, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Bowling average · EN edition · Analysis: TopicsToTalkAbout