A number of reputable public simulators and predictive sites publish explicit final-score projections<\/strong>. I collected those available forecasts and cited each:<\/p>\n OddsShark (computer pick \/ predicted score):<\/strong> Packers 27.7<\/strong> \u2014 Eagles 17.4<\/strong>.<\/p>\n<\/li>\n MyGameSim (Monte-Carlo \/ simulator):<\/strong> Packers 22.8<\/strong> \u2014 Eagles 19.9<\/strong>.<\/p>\n<\/li>\n Dimers (simulation):<\/strong> Packers 24<\/strong> \u2014 Eagles 22<\/strong>.<\/p>\n<\/li>\n OddsTrader (expert\/computer combined):<\/strong> Packers 23<\/strong> \u2014 Eagles 20<\/strong>.<\/p>\n<\/li>\n ThePlayoffs (editorial prediction using models\/analysis):<\/strong> Eagles 24<\/strong> \u2014 Packers 21<\/strong>.<\/p>\n<\/li>\n<\/ul>\n Notes about the \u201cusual suspects\u201d you named: ESPN<\/strong> publishes matchup probabilities and model outputs (win % \/ team totals) rather than always a single neat final-score; SportsLine<\/strong> and BetQL<\/strong> often post paywalled\/insider projections for specific games (I found references to them for this matchup but their detailed numeric final-score outputs are either behind subscriber walls or not publicly published). I used public, citable model outputs above. (See ESPN matchup predictor and example SportsLine paywalled forecast).<\/p>\n I averaged the five public predicted scores above (each pair = [Packers, Eagles]):<\/p>\n Predictions used: (27.7\u201317.4), (22.8\u201319.9), (24\u201322), (23\u201320), (24\u201321).<\/p>\n<\/li>\n<\/ul>\n Averaged model prediction:<\/strong><\/p>\n Packers 24.3 \u2014 Eagles 20.1<\/strong><\/p>\n<\/li>\n Average total \u2248 44.4<\/strong> (slightly under<\/em> the posted total 45.5)<\/p>\n<\/li>\n<\/ul>\n Interpretation: the public\/computer-model consensus leans to Green Bay by ~4 points<\/strong> and expects a modestly lower scoring game than the posted O\/U.<\/p>\n Key, potentially game-moving items I found (and cited):<\/p>\n Eagles:<\/strong> Headline \u2014 Eagles will hold CB Jaire Alexander out<\/em> (coach\u2019s decision \/ knee rehab). Also Eagles list Cam Jurgens (center)<\/em> out; Jakorian Bennett, Willie Lampkin and Nolan Smith listed questionable. That affects Philly\u2019s OL\/inside protection and secondary.<\/p>\n<\/li>\n Packers:<\/strong> Multiple role players listed out\/questionable (Nate Hobbs out, Luke Van Ness out; Zach Tom questionable; several WRs questionable). Packers coming off a narrow home loss and have some injuries as well.<\/p>\n<\/li>\n<\/ul>\n Takeaway: both teams have relevant personnel questions; the Eagles are missing at least one starting-type interior OL (Jurgens) and a newly acquired CB is being held out \u2014 that slightly weakens Philly\u2019s short-area protection and deep coverage plans. The Packers are dinged at WR\/OL spots but the public models still tilt Green Bay slightly.<\/p>\n Eagles (season to date):<\/strong> Points For = 208<\/strong> (26.0\/game); Points Against = 185<\/strong> (23.1\/game).<\/p>\n<\/li>\n Packers (season to date):<\/strong> Points For \u2248 206<\/strong> (\u224825.8\/game); Points Against = 166<\/strong> (20.8\/game).<\/p>\n<\/li>\n<\/ul>\n I used the standard NFL Pythagorean form (PF^2.37 \/ (PF^2.37 + PA^2.37)) to gauge underlying strength:<\/p>\n Eagles Pythagorean win % \u2248 56.9%<\/strong> (season-level).<\/p>\n<\/li>\n Packers Pythagorean win % \u2248 62.5%<\/strong> (season-level).<\/p>\n<\/li>\n<\/ul>\n (Those percentages show Green Bay\u2019s underlying numbers are a hair stronger on the season, primarily because its defense has allowed fewer points.)<\/p>\n Sharp Football Analysis SOS:<\/strong> Packers rank around 23<\/strong> (tougher schedule than average); Eagles rank ~29<\/strong> (so Philadelphia\u2019s schedule has been relatively easier to this point). That matters \u2014 the Packers\u2019 defensive numbers look better against tougher competition, so their defensive edge is meaningful.<\/p>\n<\/li>\n<\/ul>\n Rest:<\/strong> Eagles are coming off a bye \u2014 that helps, especially with scheme prep. Packers are coming off a loss and have some momentum issues.<\/p>\n<\/li>\n Matchups:<\/strong> Eagles\u2019 mobile\/short-yardage package (Hurts runs, short-yardage shove plays) can cause problems for Green Bay if the front seven is banged up. Conversely, Packers\u2019 front (micah-parsons era, etc.) can pressure Hurts; both defenses have shown ability to slow opponents. See betting writeups emphasizing the \u201ctush push\u201d \/ short yardage red zone angles.<\/p>\n<\/li>\n<\/ul>\n My pick:<\/strong> Packers 24 \u2014 Eagles 21<\/strong>.<\/p>\n<\/li>\n<\/ul>\n Rationale: the Pythagorean math and SOS gives Green Bay a small edge, public models averaged to roughly Packers 24\u201320<\/strong>, and injuries are roughly a wash but tilt in Green Bay\u2019s favor on defense (Packers\u2019 defense allowing fewer points). Eagles\u2019 bye and offensive firepower keep this a one-score game; I see Packers cover 2.5<\/strong> and the total leaning slightly under<\/strong> 45.5 (my expected total = 45).<\/p>\n 1) What the public\/computer models are saying (sources & predicted scores) A number of reputable public simulators and predictive sites publish explicit final-score projections. I<\/p>\n","protected":false},"author":7,"featured_media":30067,"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":[5],"tags":[2620,2646,1400,1415,1399,422],"class_list":["post-30066","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-example-3","tag-ai-analysis-for-nfl","tag-ai-nfl-models","tag-ai-nfl-predictions","tag-ai-trends-for-nfl-games","tag-betting-splits-system-for-nfl","tag-expert-nfl-picks","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/11\/nfl-Philadelphia-Eagles-vs.-Green-Bay-Packers.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30066","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=30066"}],"version-history":[{"count":4,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30066\/revisions"}],"predecessor-version":[{"id":30091,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30066\/revisions\/30091"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/30067"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=30066"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=30066"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=30066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
\n2) Average of those model score predictions (straight mean)<\/h1>\n
\n
\n
\n3) Recent news & injury checks that matter<\/h1>\n
\n
\n4) My independent prediction (method + numbers)<\/h1>\n
A) Team efficiency baseline (stats)<\/h3>\n
\n
B) Pythagorean expected win % (NFL exponent \u2248 2.37)<\/h3>\n
\n
C) Strength of Schedule (SOS) context<\/h3>\n
\n
D) External factors (bye\/rest, recent form, matchup specifics)<\/h3>\n
\n
E) My projected final score (synthesizing Pythagorean baseline, SOS, injuries, rest, and model consensus)<\/h3>\n
\n
\n5) Final pick & recommended action vs the posted lines you gave<\/h1>\n
MY PICK: Philadelphia Eagles Spread +2.5 (WIN)<\/span><\/h2>\n","protected":false},"excerpt":{"rendered":"