{"id":29262,"date":"2025-09-28T18:08:11","date_gmt":"2025-09-28T18:08:11","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=29262"},"modified":"2025-09-29T10:38:29","modified_gmt":"2025-09-29T10:38:29","slug":"undefeated-colts-face-their-first-real-test-in-los-angeles","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/undefeated-colts-face-their-first-real-test-in-los-angeles\/","title":{"rendered":"Undefeated Colts Face Their First Real Test in Los Angeles"},"content":{"rendered":"<h1 data-start=\"324\" data-end=\"397\">1) What the major models \/ expert projections say (scores I could find)<\/h1>\n<p data-start=\"398\" data-end=\"819\">I searched the leading public models and editorial projections. A few model outputs were behind paywalls (SportsLine \/ BetQL detailed projected-score pages are subscriber-only), so I used the publicly-available projections I could verify and \u2014 where a model published only a margin\/probability (ESPN FPI) \u2014 I converted that into a reasonable score using the market total (see notes). Sources are attached after each item.<\/p>\n<ul data-start=\"821\" data-end=\"1639\">\n<li data-start=\"821\" data-end=\"982\">\n<p data-start=\"823\" data-end=\"982\"><strong data-start=\"823\" data-end=\"877\">DraftKings Network (DKN model \/ writer projection)<\/strong> \u2014 <strong data-start=\"880\" data-end=\"902\">Rams 27, Colts 20.<\/strong> (writer projection \/ model commentary).<\/p>\n<\/li>\n<li data-start=\"983\" data-end=\"1107\">\n<p data-start=\"985\" data-end=\"1107\"><strong data-start=\"985\" data-end=\"1018\">ESPN \u2014 Maldonado (staff pick)<\/strong> \u2014 <strong data-start=\"1021\" data-end=\"1043\">Rams 31, Colts 27.<\/strong> (ESPN staff pick list).<\/p>\n<\/li>\n<li data-start=\"1108\" data-end=\"1204\">\n<p data-start=\"1110\" data-end=\"1204\"><strong data-start=\"1110\" data-end=\"1139\">ESPN \u2014 Moody (staff pick)<\/strong> \u2014 <strong data-start=\"1142\" data-end=\"1164\">Colts 28, Rams 24.<\/strong><\/p>\n<\/li>\n<li data-start=\"1205\" data-end=\"1302\">\n<p data-start=\"1207\" data-end=\"1302\"><strong data-start=\"1207\" data-end=\"1237\">ESPN \u2014 Walder (staff pick)<\/strong> \u2014 <strong data-start=\"1240\" data-end=\"1262\">Rams 24, Colts 16.<\/strong><\/p>\n<\/li>\n<li data-start=\"1303\" data-end=\"1639\">\n<p data-start=\"1305\" data-end=\"1639\"><strong data-start=\"1305\" data-end=\"1346\">ESPN FPI (model probability \/ margin)<\/strong> \u2014 FPI lists <strong data-start=\"1359\" data-end=\"1399\">Rams favored ~55.5% (by ~2.5 points)<\/strong>; using the market total (~49.5) I convert that margin into a plausible model score: <strong data-start=\"1484\" data-end=\"1505\">Rams 26, Colts 23<\/strong> (49 total with Rams +3). <em data-start=\"1531\" data-end=\"1600\">(derived from the ESPN FPI margin + market total \u2014 explained below)<\/em>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1641\" data-end=\"1647\">Notes:<\/p>\n<ul data-start=\"1648\" data-end=\"1948\">\n<li data-start=\"1648\" data-end=\"1948\">\n<p data-start=\"1650\" data-end=\"1948\">I attempted to pull SportsLine and BetQL projected final scores but their detailed projected-score pages are subscriber-gated; SportsLine references their simulation model for Week 4 but shows full projections only to subscribers. I cite that limitation below.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1950\" data-end=\"1953\" \/>\n<h1 data-start=\"1955\" data-end=\"2019\">2) Averaging those five projections (the \u201cAI \/ model average\u201d)<\/h1>\n<p data-start=\"2020\" data-end=\"2070\">Using the five verified\/derived projections above:<\/p>\n<ul data-start=\"2072\" data-end=\"2178\">\n<li data-start=\"2072\" data-end=\"2125\">\n<p data-start=\"2074\" data-end=\"2125\">Rams scores: 31, 24, 24, 26, 27 \u2192 <strong data-start=\"2108\" data-end=\"2123\">mean = 26.4<\/strong><\/p>\n<\/li>\n<li data-start=\"2126\" data-end=\"2178\">\n<p data-start=\"2128\" data-end=\"2178\">Colts scores: 27, 28, 16, 23, 20 \u2192 <strong data-start=\"2163\" data-end=\"2178\">mean = 22.8<\/strong><\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2180\" data-end=\"2388\"><strong data-start=\"2180\" data-end=\"2217\">Averaged projected score (models)<\/strong> \u2248 <strong data-start=\"2220\" data-end=\"2246\">Rams 26.4 \u2014 Colts 22.8<\/strong> \u2192 round to <strong data-start=\"2258\" data-end=\"2279\">Rams 26, Colts 23<\/strong>. (Total \u2248 49, which matches the market\/consensus totals around 49\u201350.)<\/p>\n<hr data-start=\"2390\" data-end=\"2393\" \/>\n<h1 data-start=\"2395\" data-end=\"2463\">3) My independent analysis (Pythagorean + SOS + injuries + trends)<\/h1>\n<h2 data-start=\"2465\" data-end=\"2524\">A. Pythagorean expectation (NFL typical exponent \u2248 2.37)<\/h2>\n<p data-start=\"2525\" data-end=\"2594\">I used the teams\u2019 per-game scoring rates reported publicly this week:<\/p>\n<ul data-start=\"2596\" data-end=\"2774\">\n<li data-start=\"2596\" data-end=\"2686\">\n<p data-start=\"2598\" data-end=\"2686\"><strong data-start=\"2598\" data-end=\"2607\">Colts<\/strong>: PF \u2248 <strong data-start=\"2614\" data-end=\"2622\">34.3<\/strong> ppg, PA \u2248 <strong data-start=\"2633\" data-end=\"2641\">18.7<\/strong> ppg.<\/p>\n<\/li>\n<li data-start=\"2687\" data-end=\"2774\">\n<p data-start=\"2689\" data-end=\"2774\"><strong data-start=\"2689\" data-end=\"2697\">Rams<\/strong>: PF \u2248 <strong data-start=\"2704\" data-end=\"2712\">24.3<\/strong> ppg, PA \u2248 <strong data-start=\"2723\" data-end=\"2731\">20.3<\/strong> ppg.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2776\" data-end=\"2836\">Pythagorean win expectation = PF^2.37 \/ (PF^2.37 + PA^2.37):<\/p>\n<ul data-start=\"2838\" data-end=\"3099\">\n<li data-start=\"2838\" data-end=\"2988\">\n<p data-start=\"2840\" data-end=\"2988\"><strong data-start=\"2840\" data-end=\"2885\">Colts Pythagorean win % \u2248 0.808 (\u2248 80.8%)<\/strong> \u2014 indicates the Colts\u2019 scoring\/defense split this season (through Week 3) projects them very strong.<\/p>\n<\/li>\n<li data-start=\"2989\" data-end=\"3099\">\n<p data-start=\"2991\" data-end=\"3099\"><strong data-start=\"2991\" data-end=\"3035\">Rams Pythagorean win % \u2248 0.605 (\u2248 60.5%)<\/strong> \u2014 good but noticeably lower than the Colts\u2019 formulaic strength.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3101\" data-end=\"3188\">(Quick math check done while collecting sources.)<\/p>\n<p data-start=\"3190\" data-end=\"3463\"><strong data-start=\"3190\" data-end=\"3209\">Interpretation:<\/strong> purely on PF\/PA profiles the Colts look like the stronger team to date \u2014 they\u2019ve outscored opponents by a wide margin \u2014 but Pythagorean is season-level and doesn\u2019t capture matchup specifics (pressure vs protection, run\/pass matchups, home\/away effects).<\/p>\n<hr data-start=\"3465\" data-end=\"3468\" \/>\n<h2 data-start=\"3470\" data-end=\"3514\">B. Strength of Schedule &amp; matchup context<\/h2>\n<ul data-start=\"3515\" data-end=\"3987\">\n<li data-start=\"3515\" data-end=\"3987\">\n<p data-start=\"3517\" data-end=\"3987\">Multiple sources and model writeups note <strong data-start=\"3558\" data-end=\"3607\">the Rams have faced a tougher schedule so far<\/strong> and the Rams benefit from home-field at SoFi \u2014 both temper the Colts\u2019 numbers. DraftKings explicitly notes Rams\u2019 stronger situational metrics and tougher opponents to date; independent SOS trackers also list the Rams with a relatively difficult slate. That means the Colts\u2019 gaudy PF\/PA might be slightly inflated by easier early opponents.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"3989\" data-end=\"3992\" \/>\n<h2 data-start=\"3994\" data-end=\"4059\">C. Injuries \/ practice-report news (important\u2014can move a game)<\/h2>\n<p data-start=\"4060\" data-end=\"4095\">Key items I found (last 24\u201348 hrs):<\/p>\n<ul data-start=\"4097\" data-end=\"4687\">\n<li data-start=\"4097\" data-end=\"4363\">\n<p data-start=\"4099\" data-end=\"4363\"><strong data-start=\"4099\" data-end=\"4109\">Colts:<\/strong> ruled out <strong data-start=\"4120\" data-end=\"4149\">Kenny Moore II (Achilles)<\/strong>, <strong data-start=\"4151\" data-end=\"4175\">Matt Goncalves (toe)<\/strong>, <strong data-start=\"4177\" data-end=\"4205\">Alec Pierce (concussion)<\/strong>; <strong data-start=\"4207\" data-end=\"4227\">DeForest Buckner<\/strong> listed <strong data-start=\"4235\" data-end=\"4251\">questionable<\/strong>. Those are meaningful for Colts\u2019 secondary and pass rush\/line health.<\/p>\n<\/li>\n<li data-start=\"4364\" data-end=\"4687\">\n<p data-start=\"4366\" data-end=\"4687\"><strong data-start=\"4366\" data-end=\"4375\">Rams:<\/strong> week-of listings include <strong data-start=\"4401\" data-end=\"4465\">Rob Havenstein, Davante Adams, Colby Parkinson, Tyler Higbee<\/strong> as <strong data-start=\"4469\" data-end=\"4485\">questionable<\/strong> \u2014 any of those missing or limited would ding Rams\u2019 pass protection \/ red-zone targets. Multiple team previews list Adams\/Havenstein\/Higbee as game-time concerns.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4689\" data-end=\"5140\"><strong data-start=\"4689\" data-end=\"4708\">Interpretation:<\/strong> both teams have questionables. Colts losing Kenny Moore II and (potentially) DeForest Buckner hurts the Colts\u2019 ability to slow down Stafford and the Rams run\/pass balance. Conversely, if <strong data-start=\"4896\" data-end=\"4927\">Davante Adams or Havenstein<\/strong> are limited, that reduces Rams upside. This is a classic \u201cboth teams banged up\u201d scenario that narrows the margin but still gives the home team (Rams) the edge given the Rams\u2019 pass rush and situational advantages.<\/p>\n<hr data-start=\"5142\" data-end=\"5145\" \/>\n<h2 data-start=\"5147\" data-end=\"5180\">D. Recent trends \/ game script<\/h2>\n<ul data-start=\"5181\" data-end=\"5685\">\n<li data-start=\"5181\" data-end=\"5354\">\n<p data-start=\"5183\" data-end=\"5354\">Colts are <strong data-start=\"5193\" data-end=\"5200\">3\u20130<\/strong> coming in, with a high-scoring offense (running Jonathan Taylor effectively, Daniel Jones playing efficiently).<\/p>\n<\/li>\n<li data-start=\"5355\" data-end=\"5685\">\n<p data-start=\"5357\" data-end=\"5685\">Rams just lost to the Eagles after blowing a big lead, but Stafford \u2192 Puka Nacua (and Adams when healthy) still gives them explosive passing ability; their defensive front ranks high in sacks and pressure. DraftKings and many outlets see the Rams as the steadier situational team at home.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"5687\" data-end=\"5690\" \/>\n<h1 data-start=\"5692\" data-end=\"5732\">4) My prediction (numbers + rationale)<\/h1>\n<p data-start=\"5734\" data-end=\"5860\"><strong data-start=\"5734\" data-end=\"5809\">Predicted final score (my independent model + qualitative adjustments):<\/strong><br data-start=\"5809\" data-end=\"5812\" \/><strong data-start=\"5812\" data-end=\"5860\">Los Angeles Rams 27 \u2014 Indianapolis Colts 23.<\/strong><\/p>\n<p data-start=\"5862\" data-end=\"5866\">Why:<\/p>\n<ul data-start=\"5867\" data-end=\"6612\">\n<li data-start=\"5867\" data-end=\"6077\">\n<p data-start=\"5869\" data-end=\"6077\">Pythagorean numbers favor the Colts, but I down-weight that a bit because the Rams have faced tougher opponents (SOS) and the game is at <strong data-start=\"6006\" data-end=\"6014\">SoFi<\/strong> (home-edge matters).<\/p>\n<\/li>\n<li data-start=\"6078\" data-end=\"6398\">\n<p data-start=\"6080\" data-end=\"6398\">Injuries slightly favor the Rams\u2019 matchup edge only if Rams key players (Adams\/Havenstein) are active or limited but available; Colts losing Kenny Moore II (and potential Buckner uncertainty) is a negative for Indy\u2019s ability to contain Stafford\/Nacua and to generate pressure.<\/p>\n<\/li>\n<li data-start=\"6399\" data-end=\"6612\">\n<p data-start=\"6401\" data-end=\"6612\">I expect a mid-to-high 40s game total (market ~49.5). My projected score (27\u201323) matches that range (total 50) and matches the averaged model output (Rams ~26, Colts ~23).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6614\" data-end=\"6691\"><strong data-start=\"6614\" data-end=\"6641\">Betting pick (my edge):<\/strong> <strong data-start=\"6642\" data-end=\"6689\">Take the Rams to win and cover \u2014 Rams \u22123.5.<\/strong><\/p>\n<ul data-start=\"6692\" data-end=\"7076\">\n<li data-start=\"6692\" data-end=\"7076\">\n<p data-start=\"6694\" data-end=\"7076\"><strong data-start=\"6694\" data-end=\"6709\">Confidence:<\/strong> moderate (~55\u201360%): this is a close game (3\u20134 point spread). The market already favors Rams by 3.5 and most public model averages I could find align with a Rams win by 2\u20134 points (my independent projection: Rams by 4). Given injury noise and Colts\u2019 3\u20130 form this is not a high-conviction slam \u2014 it\u2019s a <em data-start=\"7012\" data-end=\"7018\">lean<\/em> toward Rams -3.5.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7078\" data-end=\"7360\">If you prefer a single-moneyline play vs spread: <strong data-start=\"7127\" data-end=\"7145\">Rams moneyline<\/strong> is the safer single-team pick per my read (Rams \u2212189 at the books you gave) if you believe home-field + SOS + matchups are decisive; if you like +EV upsets, Colts +157 is attractive but I rate it lower-probability.<\/p>\n<hr data-start=\"7362\" data-end=\"7365\" \/>\n<h1 data-start=\"7367\" data-end=\"7407\">5) Model vs my pick \u2014 quick comparison<\/h1>\n<p data-start=\"7410\" data-end=\"7543\"><strong data-start=\"7410\" data-end=\"7464\">Model average (public projections I could verify):<\/strong> <strong data-start=\"7465\" data-end=\"7487\">Rams 26 \u2014 Colts 23<\/strong> (Rams by ~3).<\/p>\n<h2 data-start=\"7546\" data-end=\"7659\"><span style=\"color: #339966;\"><strong data-start=\"7546\" data-end=\"7558\">My pick: Los Angeles Rams Spread -3\u00a0 (WIN)<\/strong><\/span><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>1) What the major models \/ expert projections say (scores I could find) I searched the leading public models and editorial projections. A few model<\/p>\n","protected":false},"author":7,"featured_media":29263,"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-29262","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-Indianapolis-Colts-vs.-Los-Angeles-Rams.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29262","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=29262"}],"version-history":[{"count":5,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29262\/revisions"}],"predecessor-version":[{"id":29282,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29262\/revisions\/29282"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29263"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}