[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-how-to-read-raven-johnson-stats-on-bleacher-nation-en":3,"article-related-how-to-read-raven-johnson-stats-on-bleacher-nation-en":30,"series-tools-d94e5e67-e6d3-4f6b-985d-2ec2172bcf51":83},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"d94e5e67-e6d3-4f6b-985d-2ec2172bcf51","how-to-read-raven-johnson-stats-on-bleacher-nation-en","How to Read Raven Johnson Stats on Bleacher Nation","\u003Cp data-speakable=\"summary\">Use Bleacher Nation’s stats page to pull Raven Johnson’s 2026 Indiana Fever numbers quickly.\u003C\u002Fp>\u003Cp>This guide is for developers, analysts, and sports-product builders who want to turn a Bleacher Nation stats page into a clean, repeatable workflow. By the end, you will know how to open the page, verify the source, extract the player context, and reuse the same pattern for other athlete pages.\u003C\u002Fp>\u003Cp>You will also have a simple checklist for validating what you found, plus a few practical mistakes to avoid when a stats article is wrapped in site navigation, syndicated copy, or mixed editorial content.\u003C\u002Fp>\u003Ch2>Before you start\u003C\u002Fh2>\u003Cul>\u003Cli>A modern browser with JavaScript enabled\u003C\u002Fli>\u003Cli>Access to the page at \u003Ca href=\"https:\u002F\u002Fwww.bleachernation.com\u002Fstats-and-news\u002F2026\u002F05\u002F20\u002F2026-raven-johnson-stats-indiana-fever\u002F\">Bleacher Nation’s Raven Johnson stats article\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Optional: a Bleacher Nation account if you want to follow site updates\u003C\u002Fli>\u003Cli>Optional: a DataSkrive account or documentation access if you need to trace syndicated content\u003C\u002Fli>\u003Cli>Node 20+ if you plan to script page checks\u003C\u002Fli>\u003Cli>Python 3.11+ if you prefer text extraction with a notebook or scraper\u003C\u002Fli>\u003Cli>curl 8+ for quick header and HTML checks\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: Open the Raven Johnson article\u003C\u002Fh2>\u003Cp>Goal: load the exact page that contains the 2026 Raven Johnson stats entry so you are working from the same source every time.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779669370738-jwge.png\" alt=\"How to Read Raven Johnson Stats on Bleacher Nation\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Start with the canonical URL and confirm the page title matches the player and team you expect. If you are building a content pipeline, store the full URL rather than a search result or category page.\u003C\u002Fp>\u003Cpre>\u003Ccode>https:\u002F\u002Fwww.bleachernation.com\u002Fstats-and-news\u002F2026\u002F05\u002F20\u002F2026-raven-johnson-stats-indiana-fever\u002F\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>You should see a Bleacher Nation stats-and-news page titled around Raven Johnson and the Indiana Fever, not a generic homepage or unrelated article.\u003C\u002Fp>\u003Ch2>Step 2: Verify the publication source\u003C\u002Fh2>\u003Cp>Goal: confirm whether the article is original editorial content or syndicated data content before you reuse it.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779669372477-pcoy.png\" alt=\"How to Read Raven Johnson Stats on Bleacher Nation\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Look for the byline and the disclosure that says the content was written in partnership with DataSkrive. That tells you the article is assembled from a data pipeline, which matters if you plan to cite, summarize, or automate against it.\u003C\u002Fp>\u003Cpre>\u003Ccode>DataSkrive leverages a combination of human expertise, machine learning, and pre-built content libraries\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>You should see the DataSkrive attribution near the top of the article body, along with the Bleacher Nation masthead and date stamp.\u003C\u002Fp>\u003Ch2>Step 3: Extract the player context\u003C\u002Fh2>\u003Cp>Goal: isolate the key entities attached to the stat page so your notes or parser capture the right subject.\u003C\u002Fp>\u003Cp>Record the player name, team, and season from the headline and metadata. In this case, the page is about Raven Johnson and links her to the Indiana Fever in 2026, which gives you the minimum context needed for indexing or comparison.\u003C\u002Fp>\u003Cp>Then scan for the article’s framing language and any surrounding newsroom clutter. On this page, the site navigation and other sports headlines appear around the target content, so your extractor should ignore everything except the article block.\u003C\u002Fp>\u003Cp>You should see Raven Johnson, Indiana Fever, and 2026 together in the headline area, which confirms you are on the correct player page.\u003C\u002Fp>\u003Ch2>Step 4: Capture the stats payload\u003C\u002Fh2>\u003Cp>Goal: pull the stat fields or narrative summary that the page exposes, then normalize them for later use.\u003C\u002Fp>\u003Cp>If the page is rendered as a lightweight stats article, your best signal may be the headline, date, and any embedded article text rather than a full box score table. Build your parser to handle both cases: structured tables when present and text-only summaries when not.\u003C\u002Fp>\u003Cpre>\u003Ccode>curl -L \"https:\u002F\u002Fwww.bleachernation.com\u002Fstats-and-news\u002F2026\u002F05\u002F20\u002F2026-raven-johnson-stats-indiana-fever\u002F\" | head\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>You should see HTML from Bleacher Nation, and if you inspect deeper you should find the article title, the publication date, and the Raven Johnson reference in the response.\u003C\u002Fp>\u003Ch2>Step 5: Validate and reuse the result\u003C\u002Fh2>\u003Cp>Goal: make sure the page data is accurate enough to reuse in a dashboard, note, or script.\u003C\u002Fp>\u003Cp>Cross-check the page title, date, and team against another trusted source before publishing or storing the result. If you are automating this, save the canonical URL, title, and source attribution together so future runs can detect changes.\u003C\u002Fp>\u003Cp>You can also keep a small validation rule such as: the title must contain Raven Johnson, the team must contain Indiana Fever, and the date must match the article timestamp. That keeps your pipeline from accidentally collecting a similarly named page.\u003C\u002Fp>\u003Cp>You should see a clean match across title, player, and team, which means the page is safe to classify as the Raven Johnson 2026 Indiana Fever entry.\u003C\u002Fp>\u003Cul>\u003Cli>Use the canonical URL, not a search snippet, to avoid duplicate or stale records.\u003C\u002Fli>\u003Cli>Store the DataSkrive attribution if your workflow needs source provenance.\u003C\u002Fli>\u003Cli>Strip site chrome and unrelated headlines before saving the article text.\u003C\u002Fli>\u003C\u002Ful>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>Metric\u003C\u002Fth>\u003Cth>Before\u002FBaseline\u003C\u002Fth>\u003Cth>After\u002FResult\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Source identification\u003C\u002Ftd>\u003Ctd>Generic sports page with mixed headlines\u003C\u002Ftd>\u003Ctd>Confirmed Raven Johnson \u002F Indiana Fever stats article\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Content classification\u003C\u002Ftd>\u003Ctd>Unverified article body\u003C\u002Ftd>\u003Ctd>Verified syndicated stats entry with DataSkrive attribution\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Extraction scope\u003C\u002Ftd>\u003Ctd>Whole page, including navigation noise\u003C\u002Ftd>\u003Ctd>Article block only, ready for reuse\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Common mistakes\u003C\u002Fh2>\u003Cul>\u003Cli>Using the homepage instead of the article URL: fix it by saving the full permalink and checking the title before extraction.\u003C\u002Fli>\u003Cli>Confusing site navigation with article content: fix it by selecting only the main article container or the text between the headline and the next story block.\u003C\u002Fli>\u003Cli>Ignoring source attribution: fix it by recording the DataSkrive note so downstream users know the content is syndicated.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>What's next\u003C\u002Fh2>\u003Cp>Once you can reliably identify this page, apply the same pattern to other Bleacher Nation stats-and-news posts, then automate title, date, and source extraction across the archive for cleaner sports data workflows.\u003C\u002Fp>","Use Bleacher Nation’s stats page to pull Raven Johnson’s 2026 Indiana Fever numbers quickly.","www.bleachernation.com","https:\u002F\u002Fwww.bleachernation.com\u002Fstats-and-news\u002F2026\u002F05\u002F20\u002F2026-raven-johnson-stats-indiana-fever\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779669370738-jwge.png","tools","en","8350735d-8b36-441b-8c67-3a6eb7860c19",[17,18,19,20,21],"Bleacher Nation","Raven Johnson","Indiana Fever","DataSkrive","sports stats",[23,24,25],"Use the canonical Bleacher Nation URL to avoid mixing in unrelated sports pages.","Check the DataSkrive attribution to 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