I collected published projected scores or model projections from reputable model-driven sites and expert-model pages (BetQL, SportsLine, ESPN\/ESPN Analytics, Action Network\/CBS model outputs, and simulation sites). Here are explicit projected final scores \/ model outputs I was able to find:<\/p>\n
CBS Sports (model \/ \u201cInside the Lines\u201d projection)<\/strong> \u2014 Chiefs 26.5 \u2014 Giants 18.0<\/strong>.<\/p>\n<\/li>\n Dimers (simulation model)<\/strong> \u2014 Chiefs 24 \u2014 Giants 20<\/strong>.<\/p>\n<\/li>\n Arizona Republic (local model\/preview)<\/strong> \u2014 Chiefs 23 \u2014 Giants 20<\/strong>.<\/p>\n<\/li>\n BleacherNation (model\/expert projection)<\/strong> \u2014 Chiefs 28 \u2014 Giants 12<\/strong>.<\/p>\n<\/li>\n PicksAndParlays \/ picks site (simulation\/expert projection)<\/strong> \u2014 Chiefs 34 \u2014 Giants 17<\/strong>.<\/p>\n<\/li>\n<\/ul>\n (Notes: some big outlets like BetQL<\/strong>, SportsLine<\/strong>, and ESPN<\/strong> publish win probabilities and model outputs for this game \u2014 e.g., BetQL shows KC win probability ~71%, ESPN Analytics shows KC win probability ~65.4% \u2014 but a few of those pages don\u2019t print a neat \u201cfinal score\u201d in the snippets; I used explicit published projected scores where available and cited the win-probability style outputs when relevant. See citations for BetQL\/SportsLine\/ESPN pages.<\/p>\n Take the five explicit scores above and average them (team by team):<\/p>\n Chiefs: (26.5 + 24 + 23 + 28 + 34) \/ 5 = 27.1<\/strong> \u2192 round to 27<\/strong><\/p>\n<\/li>\n Giants: (18 + 20 + 20 + 12 + 17) \/ 5 = 17.4<\/strong> \u2192 round to 17<\/strong><\/p>\n<\/li>\n<\/ul>\n Averaged model projection \u2192 Chiefs 27, Giants 17 (combined 44)<\/strong>.<\/p>\n Coincidentally that combined 44 matches the market total line sitting at 44.5<\/strong>. Most models and outlets are projecting a Chiefs win by ~8\u201310 points (well inside the spread\/market area).<\/p>\n Team scoring so far (through Week 2): Chiefs ~19.0 PPG scored, 23.5 PPG allowed<\/strong>; Giants ~21.5 PPG scored, 30.5 PPG allowed<\/strong>. Sources: StatMuse \/ ESPN \/ team stat pages.<\/p>\n<\/li>\n Recent opponents & schedule context (Chiefs faced Eagles & Chargers, tougher early slate; Giants faced Dallas and another game that resulted in a 40-37 OT loss)<\/p>\n<\/li>\n Injury status \/ practice reports: Andrew Thomas (Giants LT) expected to play \/ practiced<\/strong> (helpful for Giants pass protection), while Chiefs reported Xavier Worthy out (shoulder)<\/strong> and a couple of Chiefs players listed questionable\/out on injury reports. (See ESPN injury report).<\/p>\n<\/li>\n<\/ul>\n I applied a standard NFL Pythagorean-style estimate (points for \/ points allowed, exponent \u2248 2.37) to get a sanity-check expected-win figure:<\/p>\n Using the season numbers above:<\/p>\n Chiefs Pythagorean win% \u2248 37.7%<\/strong> (season-level expected win% vs. average opponent, given 19.0 PF \/ 23.5 PA).<\/p>\n<\/li>\n Giants Pythagorean win% \u2248 30.4%<\/strong> (season-level expected win% given 21.5 PF \/ 30.5 PA). Chiefs<\/strong> have faced a tougher early schedule (Chargers in Brazil and Eagles), which helps explain low PPG so far; that suggests the Chiefs\u2019 numbers should trend up vs an easier opponent like the Giants. Giants<\/strong> have produced some big passing volume (Russell Wilson looked sharp in week 2), but their rush defense and total defense have been poor<\/strong> (Giants are near the bottom in yards allowed and ~30.5 PPG allowed). That makes them vulnerable to the Chiefs\u2019 versatile offense (Mahomes, Kelce, slot\/short passing & occasional chunk plays).<\/p>\n<\/li>\n<\/ul>\n Andrew Thomas<\/strong> likely playing (helps Giants pass protection \u2014 good news for their offense).<\/p>\n<\/li>\n Chiefs Xavier Worthy<\/strong> out and a couple of Chiefs weapons questionable; still, their top skill pieces (Mahomes, Kelce, Pacheco\/Hunt) are available. ESPN\u2019s injury list shows a few Chiefs names questionable\/out \u2014 but nothing suggesting Mahomes\/Kelce will miss.<\/p>\n<\/li>\n<\/ul>\n Bringing together the Pythagorean check, SOS (KC tougher early slate), Giants\u2019 defensive woes, and the model consensus, my independent projection:<\/p>\n My predicted final score \u2014 Kansas City Chiefs 27, New York Giants 17<\/strong>.<\/p>\n Rationale (short):<\/p>\n Models cluster in that 23\u201328 (KC) \/ 12\u201320 (NYG) range; averaged model = 27\u201317.<\/p>\n<\/li>\n Giants\u2019 defense is giving up a lot of yards\/points (30.5 PPG allowed) \u2014 matchup favors KC scoring even if KC offense hasn\u2019t fully clicked yet.<\/p>\n<\/li>\n Andrew Thomas\u2019 likely return improves NYG upside slightly, but not enough to counter their defensive leaks and KC\u2019s top-end playmakers.<\/p>\n<\/li>\n<\/ul>\n Andrew Thomas expected to play<\/strong> \u2014 could improve Giants\u2019 pass protection and slightly reduce sack\/pressure risk on Russell Wilson. Keep an eye on final practice designations around kickoff.<\/p>\n<\/li>\n Chiefs injuries \/ questionable players<\/strong>: some Chiefs role players listed questionable\/out (Worthy out, other depth pieces); Mahomes & Kelce appear active per reports. If Mahomes or Kelce were to be downgraded, that flips value.<\/p>\n<\/li>\n Market lines (spread 6 \/ total 44.5, moneylines KC -308 \/ NYG +246) are consistent with model averages; public books show KC favored ~6.<\/p>\n<\/li>\n<\/ul>\n Total (O\/U):<\/strong> Models average combined score \u2248 44.5<\/strong> (our explicit average summed to ~44). My independent score sums to 44<\/strong> \u2014 so I lean Under 44.5<\/strong> (small lean). If you expect this to be a faster, high-chunk scoring game, take the Over \u2014 but current model consensus + both teams’ modest PPGleans suggest the under<\/em> edge.<\/p>\n<\/li>\n<\/ul>\n 1) Model predictions I found (top model-style sources \/ algorithmic projections) I collected published projected scores or model projections from reputable model-driven sites and expert-model<\/p>\n","protected":false},"author":7,"featured_media":29128,"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-29127","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-Kansas-City-Chiefs-vs.-New-York-Giants.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29127","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=29127"}],"version-history":[{"count":5,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29127\/revisions"}],"predecessor-version":[{"id":29142,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29127\/revisions\/29142"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29128"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29127"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29127"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29127"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}2) Average of those five model scores<\/h2>\n
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3) My independent prediction (how I built it)<\/h2>\n
Data I used (live\/near-live checks)<\/h3>\n
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Pythagorean check (NFL-style)<\/h3>\n
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(Those low percentages reflect both teams being off their usual marks through a 0-2 start \u2014 this is a season-level<\/em> indicator, not a direct head-to-head probability. I used it to check whether either team is over\/underperforming relative to their points numbers.)<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\nStrength of schedule \/ matchup context<\/h3>\n
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Injury\/news adjustments<\/h3>\n
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My judgment & final independent predicted score<\/h3>\n
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4) News & trends I cross-checked (that could change things)<\/h2>\n
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5) Final Pick \u2014 direct answer<\/h2>\n
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My Pick: Total Points UNDER 44.5 (WIN)<\/span><\/h2>\n
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