Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Scorigami: Art, Concept & Other sports
In sports, a scorigami (a portmanteau of score and origami) is a final score that has never happened before in a sport or league's history. The term was coined in a 2014 article by sportswriter Jon Bois for American football scores in the National Football League (NFL), and is primarily used in this context; it has also been applied sparingly across…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Scorigami topic overview
The analysis highlights Art, Concept and Other sports as prominent areas in the source structure around Scorigami.
Related topics
39
Source areas
5
Connected nodes
44
Extracted relationships
65
Concept neighborhoods
18
Bridge connections
44
What this topic covers Research coverage
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.
Concept · 17 topics
Other sports · 10 topics
Overview · 6 topics
Scorigami tracking · 4 topics
College football · 2 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Scorigami connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Scorigami shows recurring relationship patterns in the source. For example, Scorigami → American, As, Bois, Broncos Super Bowl, Denver Broncos, Giants, In, Jon Bois, NFL, SB Nation, Seattle Seahawks, Secret Base, Super Bowl XLVIII, Super Bowl XXI, Super Bowl XXIV, This, Two, YouTube Another extracted example is Scorigami → Atlanta Braves, Cincinnati Reds, Colorado Rockies, England, England's, FIFA World Cup, France, In September, Iran, Major League Baseball, May, Miami Marlins, MLB, NBA Scorigami, On September, Scorigamis, The, World Cup. Use these groups to spot repeated connection types before inspecting the individual relationships.
Scorigami
Top relations
related to Concept· 18
Scorigami → American, As, Bois, Broncos Super Bowl, Denver Broncos, Giants, In, Jon Bois, NFL, SB Nation, Seattle Seahawks, Secret Base, Super Bowl XLVIII, Super Bowl XXI, Super Bowl XXIV, This, Two, YouTube
related to Other sports· 18
Scorigami → Atlanta Braves, Cincinnati Reds, Colorado Rockies, England, England's, FIFA World Cup, France, In September, Iran, Major League Baseball, May, Miami Marlins, MLB, NBA Scorigami, On September, Scorigamis, The, World Cup
related to External links· 14
Scorigami → Bois, Chart Party, Every NFL Score Ever, Exploring, Final Scores, Have NEVER Happened Before, MLB ScorigamiNBA ScorigamiCollege, NFL, NFL Films, NFL Scorigami, Part, The, When, YouTube
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 65 structured relationships around Scorigami. Examples in this analysis include Scorigami → related to College football → American and Scorigami → related to College football → Multiple. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Scorigami
related to College football
American
0.60
section
Scorigami
related to College football
Multiple
0.60
section
Scorigami
related to College football
NFL
0.60
section
Scorigami
related to Concept
In
0.60
section
Scorigami
related to Concept
SB Nation
0.60
section
Scorigami
related to Concept
YouTube
0.60
section
Scorigami
related to Concept
Secret Base
0.60
section
Scorigami
related to Concept
Jon Bois
0.60
section
Scorigami
related to Concept
This
0.60
section
Scorigami
related to Concept
Bois
0.60
section
Scorigami
related to Concept
NFL
0.60
section
Scorigami
related to Concept
As
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Scorigami bring nearby vocabulary together. In this analysis, examples include Nfl, Happened and Score. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Scorigami
Nfl
Happened
Score
Final
College
Tracking
Game
Never
Football
Bois
Ever
Win
scorigami
Nfl
Happened
Score
Final
College
Tracking
Game
Never
Football
Bois
Ever
Win
score
Happened
Final
Scored
Scorigami
Article
Game
Never
Nfl
Safeties
Art
Ever
History
jon bois
Sports
League
Never
Safeties
Secret
Video
Football
Scores
Jon
Art
Concept
Points
american football
College
Also
Football
Scored
Tracking
Sports
Jon
Video
Points
Scores
Sport
Bois
national football league
College
Scored
Tracking
Sports
Jon
Video
Points
Sport
One
Win
Game
Never
youtube
Art
Final
Happened
Article
Never
Scores
Bois
Jon
Safeties
Secret
Video
Score
college football
College
Football
Tracking
Scored
Sports
Jon
Video
Game
Never
Points
Sport
One
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Scorigami, one of the stronger structural bridges in this analysis connects Scorigami with Concept. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Scorigami
Nodes45
Edges44
Triples65
Avg. degree1.96
Density0.044444
Components1
Source & methodology
TTTA analyzes the structure around Scorigami to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Concept & Other sports, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
