{"id":30140,"date":"2025-11-13T11:40:29","date_gmt":"2025-11-13T11:40:29","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=30140"},"modified":"2025-11-15T16:55:56","modified_gmt":"2025-11-15T16:55:56","slug":"why-the-patriots-hold-all-the-cards-against-the-jets-at-gillette-stadium","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/why-the-patriots-hold-all-the-cards-against-the-jets-at-gillette-stadium\/","title":{"rendered":"Why the Patriots Hold All the Cards Against the Jets at Gillette Stadium"},"content":{"rendered":"<h1 data-start=\"374\" data-end=\"409\">1) Sources \/ top models I checked<\/h1>\n<p data-start=\"410\" data-end=\"868\">I treated these as the top, reputable forecasting\/model sources and news outlets for this game: ESPN Analytics, SportsLine (CBS), BetQL, Opta \/ The Analyst (Opta supercomputer), BetMGM \/ mainstream sportsbooks (implied market), plus several editorial prediction pieces used to extract published final-score forecasts (Fox Sports, LA Times). Key injury\/news items I used came from Reuters and the official injury reports.<\/p>\n<h1 data-start=\"870\" data-end=\"951\">2) Collected final-score predictions (what the models \/ outlets are projecting)<\/h1>\n<p data-start=\"952\" data-end=\"1103\">Some models publish exact scores; where a source only published spread + total I converted to an implied score using the standard bookmaker conversion:<\/p>\n<p data-start=\"1105\" data-end=\"1194\">implied home score = (total + spread)\/2<br data-start=\"1144\" data-end=\"1147\" \/>implied road score = total \u2212 implied home score<\/p>\n<p data-start=\"1196\" data-end=\"1226\">Sources and the scores I used:<\/p>\n<ul data-start=\"1227\" data-end=\"1866\">\n<li data-start=\"1227\" data-end=\"1307\">\n<p data-start=\"1229\" data-end=\"1307\">Fox Sports \u2014 <strong data-start=\"1242\" data-end=\"1266\">Patriots 33, Jets 14<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1308\" data-end=\"1404\">\n<p data-start=\"1310\" data-end=\"1404\">LA Times \/ editorial picks \u2014 <strong data-start=\"1339\" data-end=\"1363\">Patriots 31, Jets 10<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1405\" data-end=\"1498\">\n<p data-start=\"1407\" data-end=\"1498\">SportsGambler editorial \u2014 <strong data-start=\"1433\" data-end=\"1457\">Patriots 34, Jets 14<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1499\" data-end=\"1679\">\n<p data-start=\"1501\" data-end=\"1679\">Market-implied (consensus sportsbooks ~ Pats \u221213 \/ Total 43) \u2192 implied score <strong data-start=\"1578\" data-end=\"1606\">Patriots 28.5, Jets 14.5<\/strong> (book math from spread &amp; total).<\/p>\n<\/li>\n<li data-start=\"1680\" data-end=\"1866\">\n<p data-start=\"1682\" data-end=\"1866\">ESPN (team totals displayed on ESPN odds page: NE team total \u2248 27.5, NYJ team total \u2248 14.5) \u2192 <strong data-start=\"1776\" data-end=\"1800\">Patriots 28, Jets 15<\/strong> (rounded to nearest whole).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1868\" data-end=\"2026\">I averaged those five projections (two editorial exact-score picks + two implied-book\/ESPN-derived scores + SportsGambler) to create the \u201ctop-models average.\u201d<\/p>\n<p data-start=\"2028\" data-end=\"2074\"><strong data-start=\"2028\" data-end=\"2072\">Average of the 5 model scores (rounded):<\/strong><\/p>\n<ul data-start=\"2075\" data-end=\"2145\">\n<li data-start=\"2075\" data-end=\"2114\">\n<p data-start=\"2077\" data-end=\"2114\">New England Patriots: <strong data-start=\"2099\" data-end=\"2112\">30.9 \u2192 31<\/strong><\/p>\n<\/li>\n<li data-start=\"2115\" data-end=\"2145\">\n<p data-start=\"2117\" data-end=\"2145\">New York Jets: <strong data-start=\"2132\" data-end=\"2145\">13.6 \u2192 14<\/strong><\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2147\" data-end=\"2261\">So the averaged model forecast \u2248 <strong data-start=\"2180\" data-end=\"2205\">Patriots 31 \u2014 Jets 14<\/strong> (total \u2248 <strong data-start=\"2215\" data-end=\"2221\">45<\/strong>).<\/p>\n<h1 data-start=\"2263\" data-end=\"2312\">3) My independent prediction (method + numbers)<\/h1>\n<p data-start=\"2313\" data-end=\"2474\">I combined several elements: Pythagorean expectation (season scoring), strength-of-schedule\/context, injuries &amp; availability, rest\/short week, and recent trends.<\/p>\n<h3 data-start=\"2476\" data-end=\"2518\">a) Team scoring \/ Pythagorean baseline<\/h3>\n<p data-start=\"2519\" data-end=\"2567\">Season scoring averages (2025 regular season):<\/p>\n<ul data-start=\"2568\" data-end=\"2797\">\n<li data-start=\"2568\" data-end=\"2685\">\n<p data-start=\"2570\" data-end=\"2685\">Patriots: <strong data-start=\"2580\" data-end=\"2609\">Points For 265 (26.5 ppg)<\/strong>, <strong data-start=\"2611\" data-end=\"2644\">Points Against 192 (19.2 ppg)<\/strong>.<\/p>\n<\/li>\n<li data-start=\"2686\" data-end=\"2797\">\n<p data-start=\"2688\" data-end=\"2797\">Jets: <strong data-start=\"2694\" data-end=\"2723\">Points For 195 (21.7 ppg)<\/strong>, <strong data-start=\"2725\" data-end=\"2758\">Points Against 241 (26.8 ppg)<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2799\" data-end=\"2897\">Using a common NFL Pythagorean exponent (\u2248 2.37), the Pythagorean expected win% (season-level) is:<\/p>\n<ul data-start=\"2898\" data-end=\"2953\">\n<li data-start=\"2898\" data-end=\"2928\">\n<p data-start=\"2900\" data-end=\"2928\">Patriots win% \u2248 <strong data-start=\"2916\" data-end=\"2925\">68.2%<\/strong>.<\/p>\n<\/li>\n<li data-start=\"2929\" data-end=\"2953\">\n<p data-start=\"2931\" data-end=\"2953\">Jets win% \u2248 <strong data-start=\"2943\" data-end=\"2952\">37.7%<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2955\" data-end=\"3130\">(Computation: PF^2.37 \/ (PF^2.37 + PA^2.37) \u2014 I used each team\u2019s season PF and PA to get those numbers; they show a sizable edge for NE.)<\/p>\n<h3 data-start=\"3132\" data-end=\"3187\">b) Injuries &amp; short-term news (game-breaking items)<\/h3>\n<ul data-start=\"3188\" data-end=\"3721\">\n<li data-start=\"3188\" data-end=\"3460\">\n<p data-start=\"3190\" data-end=\"3460\"><strong data-start=\"3190\" data-end=\"3213\">Patriots ruled out:<\/strong> RB <strong data-start=\"3217\" data-end=\"3246\">Rhamondre Stevenson (toe)<\/strong>; WR <strong data-start=\"3251\" data-end=\"3281\">Kayshon Boutte (hamstring)<\/strong>; TE <strong data-start=\"3286\" data-end=\"3316\">Austin Hooper (concussion)<\/strong> \u2014 some impact to NE\u2019s weapons depth but NE has handled this recently (TreVeyon Henderson stepped in).<\/p>\n<\/li>\n<li data-start=\"3461\" data-end=\"3721\">\n<p data-start=\"3463\" data-end=\"3721\"><strong data-start=\"3463\" data-end=\"3482\">Jets ruled out:<\/strong> <strong data-start=\"3483\" data-end=\"3508\">Garrett Wilson (knee)<\/strong> \u2014 large negative impact on NYJ passing attack (Wilson was their top weapon). Several Jets defensive contributors listed questionable (DL\/edge), which could blunt pass rush.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3723\" data-end=\"3989\">Net effect: Patriots lose some complementary pieces but remain the deeper, more explosive offense and better defense. Jets losing Garrett Wilson is a <strong data-start=\"3873\" data-end=\"3882\">major<\/strong> downgrade to their scoring upside \u2014 that pushes expected Jets points down more than Patriots\u2019 points drop.<\/p>\n<h3 data-start=\"3991\" data-end=\"4025\">c) Strength-of-schedule \/ form<\/h3>\n<ul data-start=\"4026\" data-end=\"4371\">\n<li data-start=\"4026\" data-end=\"4371\">\n<p data-start=\"4028\" data-end=\"4371\">Patriots are <strong data-start=\"4041\" data-end=\"4048\">8\u20132<\/strong> and on a winning streak; Jets are <strong data-start=\"4083\" data-end=\"4090\">2\u20137<\/strong> but have two straight wins and some momentum. Opta \/ The Analyst and ESPN analytics give NE a high win-probability (often 70%+ in model outputs). Historical Foxborough dominance vs. NYJ also matters (NE strong at home vs Jets historically).<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4373\" data-end=\"4408\">d) My adjusted score projection<\/h3>\n<p data-start=\"4409\" data-end=\"4675\">Starting from the averaged models (NE ~31 \/ NYJ ~14) and adjusting downward for the Jets\u2019 loss of Garrett Wilson (reduces Jet scoring), and accounting for Patriots defensive strength and home advantage, I push the Jets lower and leave NE around their season scoring:<\/p>\n<p data-start=\"4677\" data-end=\"4758\"><strong data-start=\"4677\" data-end=\"4695\">My prediction:<\/strong> <strong data-start=\"4696\" data-end=\"4742\">New England Patriots 31 \u2014 New York Jets 10<\/strong> (total <strong data-start=\"4750\" data-end=\"4756\">41<\/strong>).<\/p>\n<p data-start=\"4760\" data-end=\"5004\">Rationale in one line: Pythagorean baseline + sportsbook-implied margin sets Patriots in late-20s; injuries to Garrett Wilson and the Jets\u2019 offensive inconsistency make a two-score Patriots win likely. My line margin is <strong data-start=\"4980\" data-end=\"4994\">~21 points<\/strong> (NE +21).<\/p>\n<h1 data-start=\"5006\" data-end=\"5076\">4) News &amp; trends cross-check (breaking items that could change this)<\/h1>\n<ul data-start=\"5077\" data-end=\"5392\">\n<li data-start=\"5077\" data-end=\"5392\">\n<p data-start=\"5079\" data-end=\"5392\">Reuters and official injury reports (same-day updates) list <strong data-start=\"5139\" data-end=\"5161\">Garrett Wilson out<\/strong> and <strong data-start=\"5166\" data-end=\"5193\">Rhamondre Stevenson out<\/strong>, plus other questionable participants \u2014 that is the single biggest late change and favors NE. If Wilson were to return that would materially tighten the game.<\/p>\n<\/li>\n<\/ul>\n<h1 data-start=\"5394\" data-end=\"5444\">5) Final pick(s) \u2014 comparison and recommendation<\/h1>\n<ul data-start=\"5445\" data-end=\"6488\">\n<li data-start=\"5445\" data-end=\"5647\">\n<p data-start=\"5447\" data-end=\"5647\"><strong data-start=\"5447\" data-end=\"5487\">Averaged top-model pick (consensus):<\/strong> Patriots <strong data-start=\"5497\" data-end=\"5513\">31 \u2014 Jets 14<\/strong> (NE wins comfortably). Models trend to NE covering ~-13 and a total around mid-40s (44\u201345).<\/p>\n<\/li>\n<li data-start=\"5648\" data-end=\"5777\">\n<p data-start=\"5650\" data-end=\"5777\"><strong data-start=\"5650\" data-end=\"5674\">My independent pick:<\/strong> <strong data-start=\"5675\" data-end=\"5699\">Patriots 31, Jets 10<\/strong> (I expect NE to <em data-start=\"5716\" data-end=\"5723\">cover<\/em> \u221213 and the game to finish below the public total).<\/p>\n<\/li>\n<\/ul>\n<h2><span style=\"color: #339966;\">MY PICK: Breece Hall Under 59.5 Total Rushing Yards (WIN)<\/span><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>1) Sources \/ top models I checked I treated these as the top, reputable forecasting\/model sources and news outlets for this game: ESPN Analytics, SportsLine<\/p>\n","protected":false},"author":7,"featured_media":30141,"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-30140","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-New-York-Jets-vs.-New-England-Patriots.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30140","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=30140"}],"version-history":[{"count":3,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30140\/revisions"}],"predecessor-version":[{"id":30159,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/30140\/revisions\/30159"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/30141"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=30140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=30140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=30140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}