Visualizing hockey, understanding the game
HockeyViz (hockeyviz.com) scores 68 out of 100 on Brand Analyzer, placing it in the Developing tier among Sports & Fitness brands, Media & Entertainment brands, Technology brands, in the 18th percentile of 10216 Sports & Fitness brands.
HockeyViz is an independent hockey analytics website that provides advanced visualizations and predictive models for understanding NHL team and player performance. It targets fans, analysts, bettors, and media members who seek deeper statistical insight beyond standard box-score stats. The site positions itself as a premier resource for data-driven hockey analysis, combining unique visual tools with predictive modeling to help users interpret trends and performance that are not easily captured by conventional statistics.
| Brand Name | HockeyViz |
|---|---|
| Domain | hockeyviz.com |
| Industry | Sports & Fitness, Media & Entertainment |
| Main Competitors | Natural Stat Trick (55/100), MoneyPuck (68/100), Evolving-Hockey (61/100), Hockey Reference (81/100), DobberHockey (76/100) |
Moz Domain Authority 45/100 vs category average 42 / leader 94 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #330,229 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Visualizations and predictions for understanding hockey." (Meta description: 6 words. No OG description (falling back to meta)) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ChatGPT-User, ClaudeBot, Google-Extended, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram; no detected presence on LinkedIn, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is HockeyViz?", Claude could identify the brand as of October 2026. HockeyViz is a hockey analytics website created by Micah Blake McCurdy that produces advanced statistical visualizations like shot maps, player usage charts, and team performance models for the NHL. Best known for Advanced NHL shot location maps and data visualizations for hockey analytics.
When asked "Best brands similar to HockeyViz?", Claude would recommend HockeyViz as of October 2026. It's a well regarded resource among hockey analytics enthusiasts and is often cited alongside sites like Natural Stat Trick and Evolving Hockey for advanced stats and visualizations.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
HockeyViz's main competitors in Sports & Fitness: Natural Stat Trick (55/100), MoneyPuck (68/100), Evolving-Hockey (61/100), Hockey Reference (81/100), DobberHockey (76/100).
Sources: Brand Analyzer scan
HockeyViz offers advanced statistical visualizations and predictive models covering NHL team and player performance, designed to give subscribers deeper analytical insight than conventional hockey statistics.
Sources: HockeyViz official site
HockeyViz is an independent hockey analytics website that provides advanced visualizations and predictive models for understanding NHL team and player performance.
Sources: HockeyViz official site
HockeyViz has low AI-search visibility, scoring 20/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 26, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: HockeyViz official site
HockeyViz creates data-driven visualizations and predictive models that help users analyze hockey statistics beyond standard metrics, covering team and player performance for the NHL.
Sources: HockeyViz official site
HockeyViz scores 40/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Sports & Fitness options. Recommendation depends on crawlability, structured data, and category authority.
Sources: HockeyViz official site
HockeyViz is known for its unique, advanced visualizations and predictive models that offer deeper statistical insight into hockey performance than traditional box-score stats.
Sources: HockeyViz official site
HockeyViz can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: HockeyViz official site
HockeyViz is used by hockey fans, analysts, bettors, and media members who seek advanced statistical visualizations and predictive insights about NHL teams and players.
Sources: HockeyViz official site
HockeyViz is popular among hockey fans, analysts, bettors, and media members because it offers unique, data-driven visualizations and predictive models that provide deeper insight into team and player performance than standard statistics.
Sources: HockeyViz official site
HockeyViz scores 20/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
HockeyViz has a weak AI-visibility profile at 20/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (40/100) and its weakest is visibility (5/100). It benefits from a global traffic rank of #330,229 (Tranco), a Moz Domain Authority of 45/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify HockeyViz from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to HockeyViz: Himalayan Guides (68/100), HASTA (68/100), Western States Horse Expo (68/100), Historic Sportscar Racing (HSR) (68/100).
A step up - brands to learn from: YUM (71/100), Your School Games (71/100).
Category leader: Complex (97/100).
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