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Dwyane Tyrone Wade, Jr. (* 17. ledna 1982, Chicago) je bývalý profesionální americký basketbalista, který ukončil svou kariéru na konci sezóny 2018/2019 jeho poslední tým za který hrál je Miami Heat v nejlepší basketbalové soutěži světa (NBA). V roce 2006 byl oceněn titulem Sportovec roku, který každoročně udílí prestižní americký časopis Sports…
The analysis highlights Biografie and Overview as prominent areas in the source structure around Dwyane Wade.
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 Dwyane Wade shows recurring relationship patterns in the source. For example, Dwyane Wade → NBA, Obrázky, Olympedia, Profil, Wade, Wikimedia Commons Another extracted example is Dwyane Wade → Chicago Bulls (2016-2017), Cleveland Cavaliers (2017-2018), Miami Heat (2003–2016), Miami Heat (2018-2019). 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.
nba bodů zápas miami tým wade průměr heat playoff roce sezóně roku týmem udržel zaznamenal jeho americký finále 17 2008
TTTA extracted 24 structured relationships around Dwyane Wade. Examples in this analysis include Dwyane Wade → Choť → Gabrielle Union (od 2014) and Dwyane Wade → Datum narození → 17. ledna 1982 (44 let). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Dwyane Wade | Choť | Gabrielle Union (od 2014) | 1.00 | infobox |
| Dwyane Wade | Datum narození | 17. ledna 1982 (44 let) | 1.00 | infobox |
| Dwyane Wade | Draft NBA | V roce 2003 jako 5. celkově týmem Miami Heat | 1.00 | infobox |
| Dwyane Wade | Děti | Zaya Wade | 1.00 | infobox |
| Dwyane Wade | Hmotnost | 99,8 kg | 1.00 | infobox |
| Dwyane Wade | Místo narození | Chicago, Illinois, USA | 1.00 | infobox |
| Dwyane Wade | Ocenění | 3× Vítěz NBA 1× MVP NBA finále 13× NBA All-Star | 1.00 | infobox |
| Dwyane Wade | Pozice | Guard (Rozehrávač, Křídlo) | 1.00 | infobox |
| Dwyane Wade | Předchozí týmy | Miami Heat (2003–2016) | 1.00 | infobox |
| Dwyane Wade | Předchozí týmy | Chicago Bulls (2016-2017) | 1.00 | infobox |
| Dwyane Wade | Předchozí týmy | Cleveland Cavaliers (2017-2018) | 1.00 | infobox |
| Dwyane Wade | Předchozí týmy | Miami Heat (2018-2019) | 1.00 | infobox |
| Dwyane Wade | Přezdívka | Flash, D-Wade | 1.00 | infobox |
| Dwyane Wade | Současný tým | Ukončil kariéru | 1.00 | infobox |
| Dwyane Wade | Stát | USA | 1.00 | infobox |
| Dwyane Wade | Univerzita | Marquette University | 1.00 | infobox |
| Dwyane Wade | Výška | 193 cm | 1.00 | infobox |
| Dwyane Wade | Číslo | 3- Miami Heat, Chicago Bulls 9- Cleveland Cavaliers | 1.00 | infobox |
The concept neighborhoods around Dwyane Wade bring nearby vocabulary together. In this analysis, examples include Chicago, Ledna and Kariéru. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Dwyane Wade, one of the stronger structural bridges in this analysis connects Dwyane Wade with Biografie. 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 Dwyane Wade to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Biografie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Dwyane Wade · CS edition · Analysis: TopicsToTalkAbout