I used public predictions \/ model outputs from reputable outlets (Fox Sports, Sports Illustrated \/ national roundup, CBS\/SportsLine model writeups, BetQL page, Picks & Parlays \/ SportsBettingDime \/ AZCentral). Where a source gave a final score<\/strong> I used that. Where a source gave simulation averages or a combined-projected total I converted it to a reasonable score split for averaging and noted that conversion.<\/p>\n Fox Sports<\/strong> \u2014 MIA 24 \u2014 NYJ 19<\/strong>.<\/p>\n<\/li>\n Picks & Parlays<\/strong> \u2014 MIA 24 \u2014 NYJ 20<\/strong>.<\/p>\n<\/li>\n AZCentral \/ Sports Betting Dime model<\/strong> \u2014 NYJ 27.4 \u2014 MIA 23<\/strong> (rounded used as NYJ 27 \u2014 MIA 23<\/strong>).<\/p>\n<\/li>\n USA Today (Jarrett Bell, included in national roundup)<\/strong> \u2014 NYJ 24 \u2014 MIA 20<\/strong>.<\/p>\n<\/li>\n CBS \/ SportsLine model<\/strong> \u2014 article states the model projects ~50 combined points<\/strong> (I split that plausibly as MIA 28 \u2014 NYJ 22<\/strong> for averaging since CBS also notes Jets implied total is ~21 in their sims).<\/p>\n<\/li>\n<\/ul>\n A note on sources:<\/strong> BetQL publishes simulation percentages on the game page (they show Miami winning more sims), but full numeric final-score projections there are behind a subscriber wall so I used their win% \/ sim info for context rather than as a numeric score.<\/p>\n<\/blockquote>\n Take the five numbers above and average each team:<\/p>\n Dolphins scores: 24, 24, 23, 20, 28 \u2192 average = 23.8 \u2192 round 24<\/strong>.<\/p>\n<\/li>\n Jets scores: 19, 20, 27, 24, 22 \u2192 average = 22.4 \u2192 round 22<\/strong><\/p>\n<\/li>\n<\/ul>\n Averaged model projection (mean of the five): \u2014 Miami 24, New York 22<\/em> (Total 46).<\/strong><\/p>\n I used the teams\u2019 through-week-3 points for \/ against (Pro-Football-Reference team tables):<\/p>\n NYJ:<\/strong> Points For = 69<\/strong> (23.0\/game), Points Against = 93<\/strong> (31.0\/g).<\/p>\n<\/li>\n MIA:<\/strong> Points For = 56<\/strong> (18.7\/g), Points Against = 97<\/strong> (32.3\/g).<\/p>\n<\/li>\n<\/ul>\n Using the standard football Pythagorean exponent (~2.37) gives season expected win %<\/strong> (small-sample caveat \u2014 3 games only):<\/p>\n Jets Pythagorean expected win % \u2248 33.0%<\/strong>.<\/p>\n<\/li>\n Dolphins Pythagorean expected win % \u2248 21.4%<\/strong>.<\/p>\n<\/li>\n<\/ul>\n Interpretation: both teams are underperforming offensively\/defensively early; Pythagorean suggests Jets\u2019 underlying numbers (69 PF) make them slightly better than Dolphins by this metric<\/strong>, but both defenses have given up a lot of points. (Because this is only three games, take it as directional<\/em> not definitive.)<\/p>\n Recent SOS rankings \/ projections show Miami\u2019s 2025 slate is middle-to-easier<\/strong> (various SOS pages put Miami around the middle of the league for schedule difficulty), and the AFC East in general is not a brutal early slate \u2014 so no massive SOS edge<\/strong> \u2014 both teams have had comparable early opposition. That slightly favors Miami at home but is not decisive.<\/p>\n Justin Fields (NYJ)<\/strong> \u2014 cleared concussion protocol and will start Monday<\/strong> (returned to full practice). That materially improves the Jets\u2019 offense compared to last week.<\/p>\n<\/li>\n Dolphins<\/strong> \u2014 good news: Darren Waller<\/strong> expected to make season debut; Tyreek Hill<\/strong> missed a practice day for personal reasons but is expected to play; De\u2019Von Achane had a limited practice but was not ruled out on final report. So Miami\u2019s offensive weapons should be mostly available.<\/p>\n<\/li>\n<\/ul>\n Both teams 0\u20133<\/strong> \u2014 desperation factor on both sides. Miami at home in prime time has pressure; Jets as a road underdog in the division historically have some ATS value in similar spots (some models and trend pages note road underdogs in-division cover more often). Several model writers and pick sites tilt Dolphins<\/strong> narrowly but a number of national writers (SI roundup) actually pick Jets<\/strong> \u2014 this is a legitimately coin-flip match with small edges shifting to situational items (QB back, home crowd, Waller debut).<\/p>\n<\/li>\n<\/ul>\n Bringing together:<\/p>\n averaged model projection \u2192 MIA 24 \u2014 NYJ 22<\/strong> (models\u2019 mean)<\/p>\n<\/li>\n Pythagorean numbers + Jets PF\/PA and Fields returning (gives Jets uplift),<\/p>\n<\/li>\n Dolphins home edge, weapons mostly available, and CBS model pushing toward a higher combined total,<\/p>\n<\/li>\n<\/ul>\n My independent final expected score<\/strong> for the game (my prediction) is:<\/p>\n \u2192 Miami Dolphins 27, New York Jets 23<\/strong> \u2014 Dolphins win by 4; final total = 50 \u2192 the Over (44.5) would hit.<\/em><\/p>\n Why that score:<\/strong> Fields returning improves NYJ scoring ceiling (pushes Jets toward the low-to-mid 20s) but Miami\u2019s home speed\/skill (Hill\/Waller\/Waddle + running help) and small home-field edge push Miami to mid-to-high 20s. Both defenses have been porous through three games, so I expect a higher game total than some models \u2014 roughly Dolphins by 3\u20135<\/strong>. (I\u2019m using the Pythagorean check as a sanity filter \u2014 Jets\u2019 Pythagorean season win % is better than Miami\u2019s, telling me Jets are not a blowout mismatch; but news\/in-season context tilts home team slightly.)<\/p>\n 1) Collected model predictions (top sources) I used public predictions \/ model outputs from reputable outlets (Fox Sports, Sports Illustrated \/ national roundup, CBS\/SportsLine model<\/p>\n","protected":false},"author":7,"featured_media":29285,"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-29284","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\/09\/NFL-New-York-Jets-vs.-Miami-Dolphins.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29284","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=29284"}],"version-history":[{"count":6,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29284\/revisions"}],"predecessor-version":[{"id":29304,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29284\/revisions\/29304"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29285"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29284"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
\n
\n2) Average of those 5 model scores<\/h1>\n
\n
\n3) My independent analysis (data + methods)<\/h1>\n
A \u2014 Pythagorean check (expected win %)<\/h3>\n
\n
\n
B \u2014 Strength of schedule (SOS)<\/h3>\n
C \u2014 Injuries & availability (news cross-check)<\/h3>\n
\n
D \u2014 Recent trends & context<\/h3>\n
\n
\n4) My game prediction (final)<\/h1>\n
\n
\n5) Final pick<\/h1>\n
My Pick: Consider Over 44.5 (WIN)<\/strong><\/span><\/h2>\n","protected":false},"excerpt":{"rendered":"