Models checked (public output):<\/strong> Fox Sports (score prediction), Picks & Parlays (score prediction), plus I looked for ESPN, SportsLine and other top model outputs.<\/p>\n Fox Sports<\/strong> \u2014 Kraken 4 \u2014 Blue Jackets 2<\/strong>.<\/p>\n<\/li>\n Picks & Parlays<\/strong> \u2014 Kraken 3 \u2014 Blue Jackets 1<\/strong>.<\/p>\n<\/li>\n<\/ul>\n Average of public numeric model scores:<\/strong> Averaged public-model prediction (rounded):<\/strong> Seattle Kraken 4 \u2014 Columbus Blue Jackets 2<\/strong>.<\/p>\n I used the standard hockey Pythagorean formula with exponent 2 (GF^2 \/ (GF^2 + GA^2)) using the per-game GF and GA shown on ESPN for both teams:<\/p>\n Columbus (GF\/G = 3.13; GA\/G = 3.33)<\/strong> \u2192 Pythagorean win% \u2248 46.9%<\/strong>.<\/p>\n<\/li>\n Seattle (GF\/G = 2.60; GA\/G = 2.87)<\/strong> \u2192 Pythagorean win% \u2248 45.1%<\/strong>.<\/p>\n<\/li>\n<\/ul>\n (So the Pythagorean metric shows this is essentially a toss-up \u2014 Columbus slightly ahead by that measure.)<\/p>\n Calculations (rounded): Columbus \u2248 0.469<\/strong>, Seattle \u2248 0.451<\/strong>.<\/p>\n<\/blockquote>\n Recent SOS \/ opponent difficulty trackers show Columbus has faced a slightly tougher strength of schedule<\/strong> than Seattle (Columbus listed among teams with a harder SOS remaining in the trackers I checked), while Seattle\u2019s recent schedule has been relatively easier. That slightly favors Columbus\u2019s underlying metrics being a bit more meaningful (i.e., Columbus\u2019s GF\/G is against tougher opposition).<\/p>\n Seattle:<\/strong> Joey Daccord (G) is on IR \/ didn\u2019t travel with team \u2014 Kraken goaltending depth is being tested. Jared McCann and Jared McCormick also listed with injury statuses (IR \/ OUT) on ESPN \/ PuckPedia. That weakens Seattle\u2019s offense and goalie depth.<\/p>\n<\/li>\n Columbus:<\/strong> Miles Wood and Cole Sillinger are listed as day-to-day\/questionable on the official injury reports \u2014 not ideal, but not the same level of confirmed absences as Seattle\u2019s Daccord.<\/p>\n<\/li>\n<\/ul>\n Net effect:<\/strong> Seattle\u2019s confirmed goalie absence (Daccord) + key forward(s) on IR makes Seattle less certain than the raw \u201chome favorite\u201d moneyline suggests.<\/p>\n Columbus\u2019s recent results have been better than you might expect; they\u2019ve been competitive and scoring at ~3+ goals per game. Seattle has been solid defensively but is low on goals per game this season (Seattle listed near the bottom in GF). Recent single-game results show both teams have played high-scoring affairs, but many public previews are leaning under 6.5<\/strong> for this matchup.<\/p>\n<\/li>\n<\/ul>\n What the public model average says:<\/strong> Seattle wins \u2014 ~4\u20132<\/strong> (models with public score outputs skew Seattle).<\/p>\n What my independent analysis says:<\/strong><\/p>\n Pythagorean expectation: very close<\/strong> (slight Columbus edge).<\/p>\n<\/li>\n SOS: favors Columbus<\/strong> (they\u2019ve faced tougher opponents; their 3.13 GF\/G is against stiffer teams).<\/p>\n<\/li>\n Injuries\/news: favors Columbus<\/strong> \u2014 Seattle\u2019s confirmed goalie absence (Daccord) and offense injuries swing the margin toward Columbus as a value play.<\/p>\n<\/li>\n Market: Seattle is a short favorite at -120<\/strong>; Columbus is +100<\/strong> (user-provided) \u2014 that\u2019s a small underdog price where I see value if you believe the injury \/ SOS tilt. (You also noted puck line SEA -1.5 and total 6.5.)<\/p>\n<\/li>\n<\/ul>\n My final call (recommended bets):<\/strong><\/p>\n If you prefer the market consensus model pick (strictly average of the public final-score predictions):<\/strong> Seattle 4 \u2014 Columbus 2<\/strong> (i.e., back Seattle<\/strong>). But I view Columbus ML (+100)<\/strong> as the better value given injuries + SOS + Pythagorean parity.<\/p>\n","protected":false},"excerpt":{"rendered":" What the (public) models are saying \u2014 averaged prediction Models checked (public output): Fox Sports (score prediction), Picks & Parlays (score prediction), plus I looked<\/p>\n","protected":false},"author":7,"featured_media":30096,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[125],"tags":[241,466,465,731,742,750,464,730,131],"class_list":["post-30095","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nhl","tag-nhl","tag-nhl-analytical-insights","tag-nhl-game-insights","tag-nhl-games-today-predictions","tag-nhl-hockey","tag-nhl-pediction","tag-nhl-prediction-tips","tag-nhl-predictions-today","tag-nhl-sports-picks-using-ai","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/11\/nhl-Columbus-Blue-Jackets-vs.-Seattle-Kraken.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30095","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/comments?post=30095"}],"version-history":[{"count":4,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30095\/revisions"}],"predecessor-version":[{"id":30114,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30095\/revisions\/30114"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/30096"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=30095"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=30095"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=30095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Kraken: (4 + 3) \/ 2 = 3.5<\/strong> \u2192 round to 4<\/strong>
Blue Jackets: (2 + 1) \/ 2 = 1.5<\/strong> \u2192 round to 2<\/strong><\/p>\n
\nMy independent analysis (how I derived my prediction)<\/h1>\n
1) Pythagorean expectation (basic, arithmetic)<\/h2>\n
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2) Strength of Schedule (SOS)<\/h2>\n
3) Injuries \/ roster news (game-impacting)<\/h2>\n
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4) Recent performance \/ trends<\/h2>\n
\n
\nSynthesis and final prediction<\/h1>\n
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My PICK: Seattle Kraken Moneyline -120 (LOSE)<\/span><\/h2>\n