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Marcelo Augusto David (born 31 October 1994), better known as coldzera, is a Brazilian professional Counter-Strike 2 player and a former professional Counter Strike: Global Offensive player who currently plays for Fake do Biru. He is widely considered as one of the greatest players in Counter Strike history, He was named the best CS:GO player in both…
The analysis highlights Career and Overview as prominent areas in the source structure around Coldzera.
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 Coldzera shows recurring relationship patterns in the source. For example, Coldzera → After, April, Brazilian, DreamHack Austin, ECS Season, ESL One Cologne, ESL Pro League Season, G2 Esports, His, However, In, In August, In July, Luminosity, Luminosity Gaming, Major, MLG Columbus, Most Valuable Player, SK Gaming, The Another extracted example is Coldzera → Dexterity Team. 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.
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TTTA extracted 40 structured relationships around Coldzera. Examples in this analysis include Coldzera → 2014–2015 → Dexterity Team and Coldzera → 2015–2016 → Luminosity Gaming. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Coldzera | 2014–2015 | Dexterity Team | 1.00 | infobox |
| Coldzera | 2015–2016 | Luminosity Gaming | 1.00 | infobox |
| Coldzera | 2016–2018 | SK Gaming | 1.00 | infobox |
| Coldzera | 2018–2019 | MIBR | 1.00 | infobox |
| Coldzera | 2019–2021 | FaZe Clan | 1.00 | infobox |
| Coldzera | 2021 | Complexity Gaming | 1.00 | infobox |
| Coldzera | 2022–2023 | 00 Nation | 1.00 | infobox |
| Coldzera | 2023 | Fake Natty | 1.00 | infobox |
| Coldzera | 2023–2024 | Legacy | 1.00 | infobox |
| Coldzera | 2024–2025 | RED Canids | 1.00 | infobox |
| Coldzera | 2025 | ODDIK | 1.00 | infobox |
| Coldzera | 2025-present | Fake do Biru | 1.00 | infobox |
| Coldzera | Born | (1994-10-31) 31 October 1994 (age 31) | 1.00 | infobox |
| Coldzera | Game | Counter-Strike: Global Offensive Counter-Strike 2 | 1.00 | infobox |
| Coldzera | Name | Marcelo Augusto David | 1.00 | infobox |
| Coldzera | Nationality | Brazilian | 1.00 | infobox |
| Coldzera | Nickname | Cold | 1.00 | infobox |
| Coldzera | Playing career | 2014–present | 1.00 | infobox |
| Coldzera | Role | Rifler (lurker) | 1.00 | infobox |
| Coldzera | Team | Oddik | 1.00 | infobox |
The concept neighborhoods around Coldzera bring nearby vocabulary together. In this analysis, examples include Brazilian, Mibr and Top. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Coldzera, one of the stronger structural bridges in this analysis connects Coldzera with Career. 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 Coldzera to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Coldzera · EN edition · Analysis: TopicsToTalkAbout