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Dobble is a game in which players have to find symbols in common between two cards. It was the UK’s best-selling game in 2018 and 2019.
The analysis highlights Regions, Development and Mathematics as prominent areas in the source structure around Dobble.
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 Dobble shows recurring relationship patterns in the source. For example, Dobble → Asmodee, Blue Orange Games, Denis Blanchot, France, French, In, Jacques Cottereau, Kirkman's, North America, Spot It, UK Another extracted example is Dobble → America, DobbleHow, Finite Projective Planes, Math, Mathematical Association, Official, Spot It, The Intersection GamePeter Collingridge, The Mathematics. 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.
cards game symbols spot card points two line finite projective plane mathematics players exactly one symbol lines structure common matching
TTTA extracted 30 structured relationships around Dobble. Examples in this analysis include Dobble → Age range → 8+ and Dobble → Alternative names → Spot It!. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dobble | Age range | 8+ | 1.00 | infobox |
| Dobble | Alternative names | Spot It! | 1.00 | infobox |
| Dobble | Cards | 55 | 1.00 | infobox |
| Dobble | Deck | Proprietary cards | 1.00 | infobox |
| Dobble | Players | 2-8 | 1.00 | infobox |
| Dobble | Playing time | 15 minutes | 1.00 | infobox |
| Dobble | Type | Matching | 1.00 | infobox |
| Dobble | is a | game in which players have to find symbols in common between two cards | 0.90 | text |
| Dobble | related to Development | In | 0.60 | section |
| Dobble | related to Development | Kirkman's | 0.60 | section |
| Dobble | related to Development | French | 0.60 | section |
| Dobble | related to Development | Jacques Cottereau | 0.60 | section |
The concept neighborhoods around Dobble bring nearby vocabulary together. In this analysis, examples include Card, Game and Cards. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dobble, one of the stronger structural bridges in this analysis connects Dobble with Development. 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 Dobble to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Development & Mathematics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dobble · EN edition · Analysis: TopicsToTalkAbout