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Evo 2014: Art, Games & Tournament summary
The 2014 Evolution Championship Series (commonly referred to as Evo 2014 or EVO 2014) was a fighting game event held in at Westgate Las Vegas on July 11–13. The event featured a major tournament for eight fighting games, including Ultra Street Fighter IV and BlazBlue: Chrono Phantasma. The event was part of the first Capcom Pro Tour.
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Evo 2014 topic overview
The analysis highlights Art, Games and Tournament summary as prominent areas in the source structure around Evo 2014.
Related topics
40
Source areas
4
Connected nodes
44
Extracted relationships
86
Concept neighborhoods
14
Bridge connections
44
What this topic covers Research coverage
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.
Games · 18 topics
Tournament summary · 10 topics
Background · 7 topics
Overview · 5 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Location
Las Vegas, Nevada, United States
Champions
USF4: Olivier "Luffy" Hay · UMvC3: Justin Wong · SSBM: Joseph "Mang0" Marquez · KI: Emmanuel "CD Jr." Brito · BBCP: Keiji "Galileo" Okamoto
Dates
July 11–13
Tournament format
Double elimination
Venue
Westgate Las Vegas Resort & Casino
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Evo 2014 connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Evo 2014 shows recurring relationship patterns in the source. For example, Evo 2014 → BlazBlue, Bonchan, Chrono Phantasma, Coming, Daigo Umehara, Dogura's Azrael, Earnest Cavalli, Engadget, Evo, Garireo, Garireo's, Hay, IV, Japanese, Kotaku, Litchi, Luffy, Mike Fahey, Of EVO, Olivier Another extracted example is Evo 2014 → All, As, Capcom, Capcom Pro Tour, Casino, Evo, Evo's Ultra Street Fighter, IGN, IV, July, March, Melee, Nintendo, Premier Events, September, Super Smash Bros, The, The Ultra Street Fighter, Twitch, US. Use these groups to spot repeated connection types before inspecting the individual relationships.
Evo 2014
Top relations
related to Tournament summary· 26
Evo 2014 → BlazBlue, Bonchan, Chrono Phantasma, Coming, Daigo Umehara, Dogura's Azrael, Earnest Cavalli, Engadget, Evo, Garireo, Garireo's, Hay, IV, Japanese, Kotaku, Litchi, Luffy, Mike Fahey, Of EVO, Olivier
related to background· 24
Evo 2014 → All, As, Capcom, Capcom Pro Tour, Casino, Evo, Evo's Ultra Street Fighter, IGN, IV, July, March, Melee, Nintendo, Premier Events, September, Super Smash Bros, The, The Ultra Street Fighter, Twitch, US
Evo 2014 relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 86 structured relationships around Evo 2014. Examples in this analysis include Evo 2014 → Champions → USF4: Olivier "Luffy" Hay and Evo 2014 → Champions → UMvC3: Justin Wong. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Evo 2014
Champions
USF4: Olivier "Luffy" Hay
1.00
infobox
Evo 2014
Champions
UMvC3: Justin Wong
1.00
infobox
Evo 2014
Champions
SSBM: Joseph "Mang0" Marquez
1.00
infobox
Evo 2014
Champions
KI: Emmanuel "CD Jr." Brito
1.00
infobox
Evo 2014
Champions
BBCP: Keiji "Galileo" Okamoto
1.00
infobox
Evo 2014
Champions
KoFXIII: Zhuojun "Xiao Hai" Zeng
1.00
infobox
Evo 2014
Champions
IGAU: Dominique "SonicFox" McLean
1.00
infobox
Evo 2014
Champions
TTT2: Hyun-jin "JDCR" Kim
1.00
infobox
Evo 2014
Dates
July 11–13
1.00
infobox
Evo 2014
Location
Las Vegas, Nevada, United States
1.00
infobox
Evo 2014
Tournament format
Double elimination
1.00
infobox
Evo 2014
Venue
Westgate Las Vegas Resort & Casino
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Evo 2014 bring nearby vocabulary together. In this analysis, examples include Held, July and Las. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
fighting game
July
Las
Vegas
Westgate
Game
Games
Series
Major
Held
Tournament
Melee
Blazblue
fighting game community
July
Las
Vegas
Westgate
Game
Games
Series
Major
Held
Tournament
Melee
Blazblue
Evo 2014
Held
July
Las
Vegas
Westgate
First
Fighting
Evolution
Game
Games
Series
Announced
evo 2014
Held
July
Las
Vegas
Westgate
First
Fighting
Evolution
Game
Games
Series
Announced
evo 2013
Held
July
Las
Vegas
Westgate
First
Fighting
Evolution
Game
Games
Series
Announced
westgate
July
Las
Vegas
Championship
Evolution
Fighting
Held
Games
Series
Event
Evo
Major
games
Major
July
Las
Vegas
Westgate
Fighter
Iv
Street
Ultra
Tournament
Held
Luffy
super smash bros. melee
Bros
Smash
Super
Series
Us
Phantasma
First
Game
Melee
Capcom
Event
Won
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Evo 2014, one of the stronger structural bridges in this analysis connects Evo 2014 with Games. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Evo 2014
Nodes45
Edges44
Triples86
Avg. degree1.96
Density0.044444
Components1
Source & methodology
TTTA analyzes the structure around Evo 2014 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Games & Tournament summary, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
