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In organized sports, point shaving is a type of match fixing where the perpetrators try to change the final score of a game without the intention of changing who wins. This is typically done by players colluding with gamblers to prevent a team from covering a published point spread, where gamblers bet on the margin of victory. The practice of shaving…
The analysis highlights Culture, Basketball and In popular culture as prominent areas in the source structure around Point shaving.
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 Point shaving shows recurring relationship patterns in the source. For example, Point shaving → Although, Basketball, Boston College, By, Dixie Classic, Famous, Henry Hill, Jimmy Burke, NBA All-Star Jack Molinas, NCAA, NCAA University Division, The NCAA, This, Tulane Another extracted example is Point shaving → Carmine Lupertazzi Sr, Crewe, In, NFL, Paul, Point, The Longest Yard, The Sopranos, Wrecking. 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.
point team shaving players bribed game spread player points one win may basketball ncaa gambler cover college scheme sports gamblers
TTTA extracted 25 structured relationships around Point shaving. Examples in this analysis include Point shaving → is a → type of match fixing where the perpetrators try to change the final score of a game without the intention of changing who wins and Point shaving → is a → underlying plot thread in the 1974 film The Longest Yard and the 2005 remake. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Point shaving | is a | type of match fixing where the perpetrators try to change the final score of a game without the intention of changing who wins | 0.90 | text |
| Point shaving | is a | underlying plot thread in the 1974 film The Longest Yard and the 2005 remake | 0.90 | text |
| Point shaving | related to Basketball | Basketball | 0.60 | section |
| Point shaving | related to Basketball | By | 0.60 | section |
| Point shaving | related to Basketball | This | 0.60 | section |
| Point shaving | related to Basketball | Although | 0.60 | section |
| Point shaving | related to Basketball | NCAA | 0.60 | section |
| Point shaving | related to Basketball | The NCAA | 0.60 | section |
| Point shaving | related to Basketball | Famous | 0.60 | section |
| Point shaving | related to Basketball | Dixie Classic | 0.60 | section |
| Point shaving | related to Basketball | NCAA University Division | 0.60 | section |
| Point shaving | related to Basketball | NBA All-Star Jack Molinas | 0.60 | section |
The concept neighborhoods around Point shaving bring nearby vocabulary together. In this analysis, examples include Shaving, Players and Spread. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Point shaving, one of the stronger structural bridges in this analysis connects Point shaving with Basketball. 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 Point shaving to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Culture, Basketball & In popular culture, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Point shaving · EN edition · Analysis: TopicsToTalkAbout