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Daniel Trubač (* 17. července 1997 Opočno) je český profesionální fotbalista, který hraje na pozici ofensivního záložníka za český klub FC Hradec Králové. Je také bývalým českým mládežnickým reprezentantem.
The analysis highlights Overview, Klubová kariéra and Odkazy as prominent areas in the source structure around Daniel Trubač.
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 Daniel Trubač shows recurring relationship patterns in the source. For example, Daniel Trubač → Roky Klub Záp. (góly) 2014–2017 2017–2019 2017–2019 2019–2026 2026- Hradec Králové Slavia Praha → Teplice Teplice Hradec Králové06000(3) 00000(0) 03100(1) 2330(23) 01400(0), Roky Reprezentace Záp. (góly) 2013 2013–2014 2014 2014–2016 2017 2017–2018 Česko U16 Česko U17 Česko U18 Česko U19 Česko U20 Česko U2101100(1) 01500(0) 00600(0) 02100(1) 00200(0… Another extracted example is Daniel Trubač → 17. července 1997 (29 let). 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.
králové 17 2014 fc hradec klub 2015 česko opočno července 16 2016 góly slavia praha 1997 2017 2026 sk hradce
TTTA extracted 10 structured relationships around Daniel Trubač. Examples in this analysis include Daniel Trubač → Datum narození → 17. července 1997 (29 let) and Daniel Trubač → Místo narození → Opočno, Česko. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Daniel Trubač | Datum narození | 17. července 1997 (29 let) | 1.00 | infobox |
| Daniel Trubač | Místo narození | Opočno, Česko | 1.00 | infobox |
| Daniel Trubač | Povolání | fotbalista | 1.00 | infobox |
| Daniel Trubač | Pozice | ofensivní záložník | 1.00 | infobox |
| Daniel Trubač | Přezdívka | Truby | 1.00 | infobox |
| Daniel Trubač | Roky | Roky Klub Záp. (góly) 2014–2017 2017–2019 2017–2019 2019–2026 2026- Hradec Králové Slavia Praha → Teplice Teplice Hradec Králové06000(3) 00000(0) 03100(1) 2330(23) 01400(0) | 1.00 | infobox |
| Daniel Trubač | Roky | Roky Reprezentace Záp. (góly) 2013 2013–2014 2014 2014–2016 2017 2017–2018 Česko U16 Česko U17 Česko U18 Česko U19 Česko U20 Česko U2101100(1) 01500(0) 00600(0) 02100(1) 00200(0… | 1.00 | infobox |
| Daniel Trubač | Současný klub | Hradec Králové | 1.00 | infobox |
| Daniel Trubač | Výška | 175 cm | 1.00 | infobox |
| Daniel Trubač | Číslo dresu | 20 | 1.00 | infobox |
The concept neighborhoods around Daniel Trubač bring nearby vocabulary together. In this analysis, examples include Záp, Česko and Fotbalista. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Daniel Trubač, one of the stronger structural bridges in this analysis connects Daniel Trubač 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 Daniel Trubač to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Klubová kariéra & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Daniel Trubač · CS edition · Analysis: TopicsToTalkAbout