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David Pech (* 22. února 2002 Brandýs nad Labem) je český profesionální fotbalista, který hraje na pozici pravého záložníka za český klub Slavie Praha. Je také bývalým českým mládežnickým reprezentantem.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around David Pech.
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 David Pech shows recurring relationship patterns in the source. For example, David Pech → Roky Klub Záp. (góly) 2019–2023 2023– 2024–2025 Mladá Boleslav Slavia Praha → Dukla Praha03600(2) 00700(0) 00500(0), Roky Reprezentace Záp. (góly) 2017 2017–2018 2018–2019 2019 2019 2022 2022–2023 Česko U15 Česko U16 Česko U17 Česko U18 Česko U19 Česko U20 Česko U2100200(1) 01600(1) 01900(5) 0… Another extracted example is David Pech → 1. česká fotbalová liga 2023/2024 SK Slavia Praha Český fotbalový pohár 2022/2023 SK Slavia Praha. 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.
praha 2023 česko český 22 února klub 2019 góly 2024 slavia 2022 česká fotbalová liga 2002 fotbalista brandýs labem slavie
TTTA extracted 10 structured relationships around David Pech. Examples in this analysis include David Pech → 1. česká fotbalová liga → 1. česká fotbalová liga 2023/2024 SK Slavia Praha Český fotbalový pohár 2022/2023 SK Slavia Praha and David Pech → Datum narození → 22. února 2002 (24 let). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| David Pech | 1. česká fotbalová liga | 1. česká fotbalová liga 2023/2024 SK Slavia Praha Český fotbalový pohár 2022/2023 SK Slavia Praha | 1.00 | infobox |
| David Pech | Datum narození | 22. února 2002 (24 let) | 1.00 | infobox |
| David Pech | Místo narození | Brandýs nad Labem, Česko Česko | 1.00 | infobox |
| David Pech | Povolání | fotbalista | 1.00 | infobox |
| David Pech | Pozice | pravý záložník | 1.00 | infobox |
| David Pech | Roky | Roky Klub Záp. (góly) 2019–2023 2023– 2024–2025 Mladá Boleslav Slavia Praha → Dukla Praha03600(2) 00700(0) 00500(0) | 1.00 | infobox |
| David Pech | Roky | Roky Reprezentace Záp. (góly) 2017 2017–2018 2018–2019 2019 2019 2022 2022–2023 Česko U15 Česko U16 Česko U17 Česko U18 Česko U19 Česko U20 Česko U2100200(1) 01600(1) 01900(5) 0… | 1.00 | infobox |
| David Pech | Současný klub | Slavie Praha | 1.00 | infobox |
| David Pech | Výška | 177 cm | 1.00 | infobox |
| David Pech | related to Reference | Wikipedii | 0.60 | section |
The concept neighborhoods around David Pech bring nearby vocabulary together. In this analysis, examples include Pech, Datové and Hraje. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For David Pech, one of the stronger structural bridges in this analysis connects David Pech 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 David Pech to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — David Pech · CS edition · Analysis: TopicsToTalkAbout