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Secondary average, or SecA, is a baseball statistic that measures the sum of extra bases gained on hits, walks, and stolen bases (less times caught stealing) depicted per at bat. Created by Bill James, it is a sabermetric measurement of hitting performance that seeks to evaluate the number of bases a player gained independent of batting average. Unlike…
The analysis highlights Measurement, Formula and Relation to batting average as prominent areas in the source structure around Secondary 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 Secondary average shows recurring relationship patterns in the source. For example, Secondary average → According, Batting, Bill James, Davis, Eric Davis, For, Scott Gray, Secondary, Since Another extracted example is Secondary average → Although, Furthermore, However, Ichiro Suzuki, The. 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 secondary batting player bases offensive caught stealing hits low stolen walks indicator bill james power averages extra gained times
TTTA extracted 16 structured relationships around Secondary average. Examples in this analysis include Secondary average → is a → much better indicator of offensive ability than batting average and Secondary average → related to Benefits for player evaluation → Secondary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Secondary average | is a | much better indicator of offensive ability than batting average | 0.90 | text |
| Secondary average | related to Benefits for player evaluation | Secondary | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | According | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Scott Gray | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Bill James | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Since | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | For | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Eric Davis | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Davis | 0.60 | section |
| Secondary average | related to Benefits for player evaluation | Batting | 0.60 | section |
| Secondary average | related to Formula | The | 0.60 | section |
| Secondary average | related to Relation to batting average | Although | 0.60 | section |
The concept neighborhoods around Secondary average bring nearby vocabulary together. In this analysis, examples include Secondary, Batting and Low. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Secondary average, one of the stronger structural bridges in this analysis connects Secondary average with Overview. 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 Secondary average to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Formula & Relation to batting average, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Secondary average · EN edition · Analysis: TopicsToTalkAbout