{"id":29237,"date":"2025-09-25T16:08:23","date_gmt":"2025-09-25T16:08:23","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=29237"},"modified":"2025-09-25T16:08:57","modified_gmt":"2025-09-25T16:08:57","slug":"power-vs-struggles-mariners-host-rockies-in-late-season-test","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/power-vs-struggles-mariners-host-rockies-in-late-season-test\/","title":{"rendered":"Power vs. Struggles: Mariners Host Rockies in Late-Season Test"},"content":{"rendered":"<h1 data-start=\"758\" data-end=\"774\">Quick headline<\/h1>\n<ul data-start=\"775\" data-end=\"1302\">\n<li data-start=\"775\" data-end=\"951\">\n<p data-start=\"777\" data-end=\"951\"><strong data-start=\"777\" data-end=\"836\">Consensus (public score predictions that I could find):<\/strong> <strong data-start=\"837\" data-end=\"862\">Mariners 6, Rockies 2<\/strong> (average of available public score predictions).<\/p>\n<\/li>\n<li data-start=\"952\" data-end=\"1101\">\n<p data-start=\"954\" data-end=\"1101\"><strong data-start=\"954\" data-end=\"1037\">My independent prediction (using Pythagorean + SOS + injuries + recent trends):<\/strong> <strong data-start=\"1038\" data-end=\"1064\">Mariners 5 \u2014 Rockies 2<\/strong> (round to <strong data-start=\"1075\" data-end=\"1097\">Mariners by 3 runs<\/strong>).<\/p>\n<\/li>\n<li data-start=\"1102\" data-end=\"1302\">\n<p data-start=\"1104\" data-end=\"1302\"><strong data-start=\"1104\" data-end=\"1144\">Final pick (betting recommendation):<\/strong> <strong data-start=\"1145\" data-end=\"1201\">Seattle Mariners \u2014 moneyline (-211) or Mariners -1.5<\/strong> (cover the spread). Market + model + news all favored Seattle.<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1304\" data-end=\"1307\" \/>\n<h1 data-start=\"1309\" data-end=\"1352\">What I collected from the models &amp; market<\/h1>\n<ol data-start=\"1353\" data-end=\"3107\">\n<li data-start=\"1353\" data-end=\"1660\">\n<p data-start=\"1356\" data-end=\"1660\"><strong data-start=\"1356\" data-end=\"1394\">ESPN Analytics \/ Matchup Predictor<\/strong>: showed a heavy win probability for Seattle (about <strong data-start=\"1446\" data-end=\"1457\">~80\u201385%<\/strong> depending on the ESPN page snapshot). That signals a strong favorite from an analytics model (but ESPN publishes probability, not an explicit final-score string).<\/p>\n<\/li>\n<li data-start=\"1661\" data-end=\"2105\">\n<p data-start=\"1664\" data-end=\"2105\"><strong data-start=\"1664\" data-end=\"1696\">BetQL \/ AccuScore simulation<\/strong>: BetQL\u2019s writeup (AccuScore-style simulations) strongly favored Seattle \u2014 modeling showed the Mariners win the vast majority of simulations (they publish simulation outputs and key matchup edges, though the detailed score-by-score projection is subscriber-gated). Their summary: Mariners favored, Cal Raleigh most productive, Mariners starter advantage in simulations.<\/p>\n<\/li>\n<li data-start=\"2106\" data-end=\"2424\">\n<p data-start=\"2109\" data-end=\"2424\"><strong data-start=\"2109\" data-end=\"2140\">SportsLine (CBS\/SportsLine)<\/strong>: SportsLine\u2019s page had detailed simulation &amp; public\/money splits; they had the matchup in their subscribers-only model and injury notes. (Postgame the SportsLine page shows the <strong data-start=\"2318\" data-end=\"2327\">final<\/strong> 9\u20132 score; pregame they were strongly favoring Seattle.)<\/p>\n<\/li>\n<li data-start=\"2425\" data-end=\"2730\">\n<p data-start=\"2428\" data-end=\"2730\"><strong data-start=\"2428\" data-end=\"2460\">Sportsbooks \/ Action Network<\/strong>: the market set Seattle around <strong data-start=\"2492\" data-end=\"2508\">-208 to -211<\/strong> moneyline (implying ~67\u201368% win chance) with spread <strong data-start=\"2561\" data-end=\"2569\">-1.5<\/strong> and total around <strong data-start=\"2587\" data-end=\"2592\">8<\/strong> \u2014 market consensus strongly favored the Mariners. That market signal matches the model consensus.<\/p>\n<\/li>\n<li data-start=\"2731\" data-end=\"3107\">\n<p data-start=\"2734\" data-end=\"3107\"><strong data-start=\"2734\" data-end=\"2770\">Public picks \/ small-model sites<\/strong> (where explicit <em data-start=\"2787\" data-end=\"2800\">final-score<\/em> predictions were published): Picks\/Parlays and a few smaller picks sites published explicit score predictions (examples found: <strong data-start=\"2928\" data-end=\"2935\">6\u20132<\/strong> and <strong data-start=\"2940\" data-end=\"2947\">5\u20132<\/strong>). Those are the few explicit numeric predictions I could locate publicly \u2014 I used them to compute a public average score.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"3109\" data-end=\"3555\"><strong data-start=\"3109\" data-end=\"3155\">Important note on \u201cfinal-score\u201d averaging:<\/strong> the <strong data-start=\"3160\" data-end=\"3248\">top commercial models usually publish win probability and recommended side or margin<\/strong> (they simulate thousands of games) but they often do <strong data-start=\"3302\" data-end=\"3309\">not<\/strong> publish a single public \u201cfinal score.\u201d Because of that, I averaged the <em data-start=\"3381\" data-end=\"3389\">public<\/em> numeric predictions I could find (the smaller public pick sites that published scores) and cross-checked the larger models\u2019 <strong data-start=\"3514\" data-end=\"3529\">probability<\/strong> and simulation summaries.<\/p>\n<hr data-start=\"3557\" data-end=\"3560\" \/>\n<h1 data-start=\"3562\" data-end=\"3606\">Averaged public score (what you asked for)<\/h1>\n<p data-start=\"3607\" data-end=\"3667\">From the explicit score predictions I could locate publicly:<\/p>\n<ul data-start=\"3668\" data-end=\"3940\">\n<li data-start=\"3668\" data-end=\"3754\">\n<p data-start=\"3670\" data-end=\"3754\">Pick site A: Mariners <strong data-start=\"3692\" data-end=\"3697\">6<\/strong> \u2013 Rockies <strong data-start=\"3708\" data-end=\"3713\">2<\/strong>.<\/p>\n<\/li>\n<li data-start=\"3755\" data-end=\"3841\">\n<p data-start=\"3757\" data-end=\"3841\">Pick site B: Mariners <strong data-start=\"3779\" data-end=\"3784\">5<\/strong> \u2013 Rockies <strong data-start=\"3795\" data-end=\"3800\">2<\/strong>.<\/p>\n<\/li>\n<li data-start=\"3842\" data-end=\"3940\">\n<p data-start=\"3844\" data-end=\"3940\">Another public prediction: Mariners <strong data-start=\"3880\" data-end=\"3885\">6<\/strong> \u2013 Rockies <strong data-start=\"3896\" data-end=\"3901\">2<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3942\" data-end=\"3995\"><strong data-start=\"3942\" data-end=\"3993\">Average (public numeric predictions available):<\/strong><\/p>\n<ul data-start=\"3996\" data-end=\"4083\">\n<li data-start=\"3996\" data-end=\"4047\">\n<p data-start=\"3998\" data-end=\"4047\">Mariners = (6 + 5 + 6) \/ 3 = <strong data-start=\"4027\" data-end=\"4045\">5.67 \u2192 round 6<\/strong><\/p>\n<\/li>\n<li data-start=\"4048\" data-end=\"4083\">\n<p data-start=\"4050\" data-end=\"4083\">Rockies = (2 + 2 + 2) \/ 3 = <strong data-start=\"4078\" data-end=\"4083\">2<\/strong><\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4085\" data-end=\"4194\"><strong data-start=\"4085\" data-end=\"4154\">Averaged public final-score projection \u2248 <em data-start=\"4128\" data-end=\"4151\">Mariners 6, Rockies 2<\/em>.<\/strong><\/p>\n<hr data-start=\"4196\" data-end=\"4199\" \/>\n<h1 data-start=\"4201\" data-end=\"4243\">My independent prediction (how I got it)<\/h1>\n<ol data-start=\"4244\" data-end=\"6380\">\n<li data-start=\"4244\" data-end=\"4885\">\n<p data-start=\"4247\" data-end=\"4338\"><strong data-start=\"4247\" data-end=\"4274\">Pythagorean expectation<\/strong> \u2014 using season runs-scored and runs-allowed (stat snapshots):<\/p>\n<ul data-start=\"4342\" data-end=\"4885\">\n<li data-start=\"4342\" data-end=\"4408\">\n<p data-start=\"4344\" data-end=\"4408\">Approx. Seattle runs scored \u2248 <strong data-start=\"4374\" data-end=\"4381\">745<\/strong>, runs allowed \u2248 <strong data-start=\"4398\" data-end=\"4405\">678<\/strong>.<\/p>\n<\/li>\n<li data-start=\"4412\" data-end=\"4530\">\n<p data-start=\"4414\" data-end=\"4530\">Approx. Colorado runs scored \u2248 <strong data-start=\"4445\" data-end=\"4452\">589<\/strong>, runs allowed \u2248 <strong data-start=\"4469\" data-end=\"4477\">~990<\/strong> (Rockies\u2019 pitching\/defense was historically poor).<\/p>\n<\/li>\n<li data-start=\"4534\" data-end=\"4885\">\n<p data-start=\"4536\" data-end=\"4885\">Using the Pythagorean formula with a standard MLB exponent (~1.83) yields Seattle win probability \u2248 <strong data-start=\"4636\" data-end=\"4645\">54.3%<\/strong> (season-level Pythagorean), Colorado \u2248 <strong data-start=\"4685\" data-end=\"4692\">28%<\/strong> \u2014 margin consistent with Seattle as a heavy favorite. (I computed the Pythagorean win% from the season run totals to estimate underlying team strength).<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"4887\" data-end=\"5268\">\n<p data-start=\"4890\" data-end=\"5268\"><strong data-start=\"4890\" data-end=\"4927\">Strength of Schedule (SOS) effect<\/strong> \u2014 Seattle had faced a tougher slate overall across the season (their record and run stats came vs. stronger opponents overall), which tends to <strong data-start=\"5071\" data-end=\"5083\">increase<\/strong> my confidence in Seattle\u2019s baseline advantage (i.e., their record isn\u2019t \u201csoft\u201d). Market and model simulations already baked this in, but I used it as a slight positive tilt to Seattle.<\/p>\n<\/li>\n<li data-start=\"5270\" data-end=\"6007\">\n<p data-start=\"5273\" data-end=\"5329\"><strong data-start=\"5273\" data-end=\"5327\">External factors \/ recent trends \/ injuries \/ news<\/strong><\/p>\n<ul data-start=\"5333\" data-end=\"6007\">\n<li data-start=\"5333\" data-end=\"5672\">\n<p data-start=\"5335\" data-end=\"5672\"><strong data-start=\"5335\" data-end=\"5364\">Breaking news (game day):<\/strong> Cal Raleigh hit two homers; Mariners were on a hot run and clinched the AL West with a dominant outing. Luis Castillo dominated in the start that preceded\/was in the series (strong pitching). That indicated Seattle\u2019s rotation\/lineup were performing at a high level.<\/p>\n<\/li>\n<li data-start=\"5676\" data-end=\"6007\">\n<p data-start=\"5678\" data-end=\"6007\">SportsLine\u2019s injury list noted <strong data-start=\"5709\" data-end=\"5722\">Bryan Woo<\/strong> as \u201cpector(al) questionable\u201d and some bullpen\/injury items; but nothing blocking Seattle from a full-strength offensive lineup for this matchup (and their rotation depth was solid). BetQL simulations also highlighted Mariners starter advantage.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"6009\" data-end=\"6380\">\n<p data-start=\"6012\" data-end=\"6055\"><strong data-start=\"6012\" data-end=\"6053\">Bringing it together \u2014 score estimate<\/strong><\/p>\n<ul data-start=\"6059\" data-end=\"6380\">\n<li data-start=\"6059\" data-end=\"6218\">\n<p data-start=\"6061\" data-end=\"6218\">Pythagorean + SOS + matchup + lineup health \u2192 Seattle should win by multiple runs. Season-level metrics + simulation outputs \u2192 <strong data-start=\"6188\" data-end=\"6215\">expected margin ~3 runs<\/strong>.<\/p>\n<\/li>\n<li data-start=\"6222\" data-end=\"6380\">\n<p data-start=\"6224\" data-end=\"6380\"><strong data-start=\"6224\" data-end=\"6253\">My predicted final score:<\/strong> <strong data-start=\"6254\" data-end=\"6280\">Mariners 5 \u2014 Rockies 2<\/strong> (I round to a conservative 3-run margin; that also aligns closely with the public average of ~6\u20132).<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<hr data-start=\"6382\" data-end=\"6385\" \/>\n<h1 data-start=\"6387\" data-end=\"6426\">Final pick<\/h1>\n<h2>Total Points OVER 7.5<\/h2>\n","protected":false},"excerpt":{"rendered":"<p>Quick headline Consensus (public score predictions that I could find): Mariners 6, Rockies 2 (average of available public score predictions). My independent prediction (using Pythagorean<\/p>\n","protected":false},"author":7,"featured_media":29238,"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":[21],"tags":[1489,4082,1107,1121,1106,1205,952,2894],"class_list":["post-29237","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mlb","tag-mlbanalysis","tag-ai-mlb-prediction","tag-ai-prediction-mlb","tag-ai-prediction-tool-mlb-picks","tag-ai-predictions-mlb-tonight","tag-mlb-ai-predictions-today","tag-mlb-analysis","tag-mlb-betting-analytics","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/09\/MLB-Colorado-Rockies-vs.-Seattle-Mariners-g.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29237","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=29237"}],"version-history":[{"count":1,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29237\/revisions"}],"predecessor-version":[{"id":29239,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29237\/revisions\/29239"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29238"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}