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Bradley Scott May (born November 29, 1971) is a Canadian former professional ice hockey player who played in the National Hockey League (NHL). In the 2006–07 season he won the Stanley Cup as a member of the Anaheim Ducks. He currently works as an NHL analyst with AT&T SportsNet Rocky Mountain. May was born in Toronto, Ontario, but grew up in Markham…
The analysis highlights Career, Playing career and Post-playing career and broadcasting as prominent areas in the source structure around Brad May.
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.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 Brad May shows recurring relationship patterns in the source. For example, Brad May → Anaheim California, AT, Beginning, Buffalo Sabres, CBC American Hockey League, Copper, Following, In, League, Martin Biron, May, Mike Robitaille, NHL, On September, Robitaille's, Sabres, Sam, SportsNet Rocky Mountain, The Amazing Race Canada, Vegas Golden Knights Another extracted example is Brad May → (1971-11-29) November 29, 1971 (age 54) Toronto, Ontario, Canada. 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.
may nhl season game sabres ducks played anaheim career johnsson buffalo wings mayday stanley cup playoffs 2007 colorado red born
TTTA extracted 30 structured relationships around Brad May. Examples in this analysis include Brad May → Born → (1971-11-29) November 29, 1971 (age 54) Toronto, Ontario, Canada and Brad May → Height → 6 ft 1 in (185 cm). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Brad May | Born | (1971-11-29) November 29, 1971 (age 54) Toronto, Ontario, Canada | 1.00 | infobox |
| Brad May | Height | 6 ft 1 in (185 cm) | 1.00 | infobox |
| Brad May | National team | Canada | 1.00 | infobox |
| Brad May | NHL draft | 14th overall, 1990 Buffalo Sabres | 1.00 | infobox |
| Brad May | Played for | Buffalo Sabres Vancouver Canucks Phoenix Coyotes Colorado Avalanche Anaheim Ducks Toronto Maple Leafs Detroit Red Wings | 1.00 | infobox |
| Brad May | Playing career | 1991–2010 | 1.00 | infobox |
| Brad May | Position | Left wing | 1.00 | infobox |
| Brad May | Shot | Left | 1.00 | infobox |
| Brad May | Website | BradMay.ca | 1.00 | infobox |
| Brad May | Weight | 213 lb (97 kg; 15 st 3 lb) | 1.00 | infobox |
| Brad May | related to Post-playing career and broadcasting | On September | 0.60 | section |
| Brad May | related to Post-playing career and broadcasting | May | 0.60 | section |
The concept neighborhoods around Brad May bring nearby vocabulary together. In this analysis, examples include Season, Sabres and Wings. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Brad May, one of the stronger structural bridges in this analysis connects Brad May with Playing 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 Brad May to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Playing career & Post-playing career and broadcasting, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Brad May · EN edition · Analysis: TopicsToTalkAbout