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Jass (German pronunciation: ⓘ) is a family of trick taking, ace–ten card games and, in its key forms, a distinctive branch of the marriage family. It is popular in its native Switzerland as well as the rest of the Alemannic German-speaking area of Europe, Italian South Tyrol and in a few places in Wisconsin, Ohio, California, Oregon and Washington USA.
The analysis highlights Regions, Multi-hand variants and Distribution as prominent areas in the source structure around Jass.
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 Jass shows recurring relationship patterns in the source. For example, Jass → Banner, Brünig-Napf-Reuss, Eicheln, French, German, In Austrian Vorarlberg, Jack, Ober, Queen, Rosen, Salzburg, Schellen, Schilten, Swiss, Swiss-French, Swiss-German, Switzerland, Ten, The, The Swiss Another extracted example is Jass → Adulf Peter, Dani, Eintracht, English, February, Fona, German, Goop, III, Jassen, John, McLeod, Michael Dummett, Müller, No, Playing-Card Society, Rules, StichLenzburg, Stöck, Stück Volkskultur. 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.
player game points players trump card cards played may suit trick score must first play scores variant also three one
TTTA extracted 284 structured relationships around Jass. Examples in this analysis include Jass → Cards → 36 and Jass → Chance → Medium. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jass | Cards | 36 | 1.00 | infobox |
| Jass | Chance | Medium | 1.00 | infobox |
| Jass | Play | Counter-clockwise | 1.00 | infobox |
| Jass | Players | 4 (variants: 2-6) | 1.00 | infobox |
| Jass | Playing time | 45 minutes - 1 hour | 1.00 | infobox |
| Jass | Rank (high→low) | A K O U B 9 8 7 6 | 1.00 | infobox |
| Jass | Skills | Tactics & Strategy | 1.00 | infobox |
| Jass | Type | Point-trick | 1.00 | infobox |
| Jass | is a | name of the game | 0.90 | text |
| Jass | is a | unusual older 'reverse' variant for four players in which the aim is to score the fewest points | 0.90 | text |
| Jass | related to Chratze | Chraztze | 0.60 | section |
| Jass | related to Chratze | Chratzender | 0.60 | section |
The concept neighborhoods around Jass bring nearby vocabulary together. In this analysis, examples include Variant, Swiss and Players. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jass, one of the stronger structural bridges in this analysis connects Jass with Multi-hand variants. 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 Jass to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Multi-hand variants & Distribution, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jass · EN edition · Analysis: TopicsToTalkAbout