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Maya Moore: Career, Professional career & Awards and honors
Maya April Moore (born June 11, 1989) is an American social justice advocate and former professional basketball player. Naming her their inaugural Performer of the Year in 2017, Sports Illustrated called Moore the "greatest winner in the history of women's basketball". Moore was selected for the Women's Basketball Hall of Fame in 2024. In 2025, Moore was…
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Maya Moore topic overview
The analysis highlights Career, Professional career and Awards and honors as prominent areas in the source structure around Maya Moore. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
147
Source areas
7
Connected nodes
155
Extracted relationships
141
Concept neighborhoods
42
Bridge connections
155
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.
Overview · 62 topics
Awards and honors · 22 topics
Personal life · 18 topics
Professional career · 17 topics
Early life · 13 topics
College career · 11 topics
Social justice activism · 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.
2011–2012
Ros Casares Valencia
2011–2018
Minnesota Lynx
2012–2016
Shanxi Flame
2018
UMMC Ekaterinburg
Born
(1989-06-11) June 11, 1989 (age 37) Jefferson City, Missouri, U.S.
College
UConn (2007–2011)
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 Maya Moore 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 Maya Moore shows recurring relationship patterns in the source. For example, Maya Moore → All-American, April, Associated Press Player, Best Female Amateur Athlete, Best Female College Athlete, Big East Basketball, Big East Player, Bill Russell, Bratislava, Carmelo Anthony, Collegiate Woman Athlete, Connecticut, Connecticut Magazine, December, Dwyane Wade, ESPY Award, February, Florida State, Hartford, Honda-Broderick Cup Another extracted example is Maya Moore → Alicia Manning, Ashley Houts, Auburn, Auburn/FSU, Charenee Stephens, D'Andra Moss, DC, Georgia, Georgia Metros, Jordan Greenleaf, Kelly Cain, LSU, Maya, Morgan Toles, MVP, National Championship, National Championships, Nike Nationals Championship, Nike Travel Team, Notable. Use these groups to spot repeated connection types before inspecting the individual relationships.
Maya Moore
Top relations
related to Awards and honors· 53
Maya Moore → All-American, April, Associated Press Player, Best Female Amateur Athlete, Best Female College Athlete, Big East Basketball, Big East Player, Bill Russell, Bratislava, Carmelo Anthony, Collegiate Woman Athlete, Connecticut, Connecticut Magazine, December, Dwyane Wade, ESPY Award, February, Florida State, Hartford, Honda-Broderick Cup
related to Georgia Metros· 28
Maya Moore → Alicia Manning, Ashley Houts, Auburn, Auburn/FSU, Charenee Stephens, D'Andra Moss, DC, Georgia, Georgia Metros, Jordan Greenleaf, Kelly Cain, LSU, Maya, Morgan Toles, MVP, National Championship, National Championships, Nike Nationals Championship, Nike Travel Team, Notable
related to Further reading· 27
Maya Moore → ABC News Ventures, Any Athlete, Archived, Barnes, Chris, Disney Books, ESPN, FiveThirtyEight, Herring, Inside WNBA, ISBN, Jonathan Irons, June, Justice, Katie, Love, Maya Moore Gave Up, Maya Moore Irons, Maya Moore's, More To Fight For
related to Professional career· 12
Maya Moore → All-Star, Along, Candace Parker, Eurobasket, In, Lisa Leslie, Maya Moore's, MVP, This, WCBA, WNBA, WNBA All-Star MVP
related to External links· 6
Maya Moore → Basketball Reference Maya Moore, Career, IMDb, JusticeMaya Moore, Official SiteWNBA ProfileWin With, WNBA
2011–2012· 1
Maya Moore → Ros Casares Valencia
2011–2018· 1
Maya Moore → Minnesota Lynx
2012–2016· 1
Maya Moore → Shanxi Flame
2018· 1
Maya Moore → UMMC Ekaterinburg
Born· 1
Maya Moore → (1989-06-11) June 11, 1989 (age 37) Jefferson City, Missouri, U.S.
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Maya Moore 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 141 structured relationships around Maya Moore. Examples in this analysis include Maya Moore → 2011–2012 → Ros Casares Valencia and Maya Moore → 2011–2018 → Minnesota Lynx. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Maya Moore
2011–2012
Ros Casares Valencia
1.00
infobox
Maya Moore
2011–2018
Minnesota Lynx
1.00
infobox
Maya Moore
2012–2016
Shanxi Flame
1.00
infobox
Maya Moore
2018
UMMC Ekaterinburg
1.00
infobox
Maya Moore
Born
(1989-06-11) June 11, 1989 (age 37) Jefferson City, Missouri, U.S.
1.00
infobox
Maya Moore
College
UConn (2007–2011)
1.00
infobox
Maya Moore
Drafted by
Minnesota Lynx
1.00
infobox
Maya Moore
High school
Collins Hill (Suwanee, Georgia)
1.00
infobox
Maya Moore
Listed height
6 ft 0 in (1.83 m)
1.00
infobox
Maya Moore
Listed weight
175 lb (79 kg)
1.00
infobox
Maya Moore
Number
23
1.00
infobox
Maya Moore
Playing career
2011–2018
1.00
infobox
Maya Moore
Position
Power forward
1.00
infobox
Maya Moore
Representing United States
Medals body.skin-minerva .mw-parser-output .infobox table{display:table}body.skin-minerva .mw-parser-output .infobox caption{display:table-caption} Representing United States Ol…
1.00
infobox
Maya Moore
WNBA draft
2011: 1st round, 1st overall pick
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 Maya Moore bring nearby vocabulary together. In this analysis, examples include Player, Points and Team. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Maya Moore
Player
Points
Team
Wnba
Year
First
Game
Season
Won
National
Named
Scoring
maya moore
Player
Points
Team
Wnba
Year
First
Game
Season
Won
National
Named
Scoring
basketball
Women's
Player
College
Team
First
National
Moore
Year
Usbwa
Wnba
Selected
Award
women's basketball hall of fame
Women's
College
Player
Usbwa
Team
National
First
Moore
Year
Award
Big
Wnba
naismith memorial basketball hall of fame
Women's
Player
College
Team
First
National
Moore
Year
Usbwa
Wnba
Selected
Award
uconn women's basketball team
Women's
College
Player
Usbwa
Team
National
First
Moore
Year
Award
Championship
Players
john wooden award
Mvp
College
Won
Usbwa
Year
All-star
Player
First
National
Women's
Big
Second
wnba most valuable player award
Mvp
Year
College
Won
First
Usbwa
All-star
Award
Player
Women's
National
Big
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 Maya Moore, one of the stronger structural bridges in this analysis connects Maya Moore 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.
Min side: 3
Maya Moore — Overview· splits 93 ⟂ 63Maya Moore — Awards and honors· splits 133 ⟂ 23Maya Moore — Personal life· splits 137 ⟂ 19Maya Moore — Professional career· splits 138 ⟂ 18Maya Moore — Early life· splits 142 ⟂ 14Maya Moore — College career· splits 144 ⟂ 12Maya Moore — Social justice activism· splits 150 ⟂ 6
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Maya Moore
Nodes156
Edges155
Triples141
Avg. degree1.99
Density0.012821
Components1
Source & methodology
TTTA analyzes the structure around Maya Moore to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Professional career & Awards and honors, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
