{"id":29810,"date":"2025-10-27T09:44:40","date_gmt":"2025-10-27T09:44:40","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=29810"},"modified":"2025-10-28T10:11:38","modified_gmt":"2025-10-28T10:11:38","slug":"bruins-aim-to-upset-the-senators-in-ottawa-data-tells-a-different-story","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/bruins-aim-to-upset-the-senators-in-ottawa-data-tells-a-different-story\/","title":{"rendered":"Bruins Aim to Upset the Senators in Ottawa: Data Tells a Different Story"},"content":{"rendered":"<h1 data-start=\"715\" data-end=\"755\">What the top models say (what I found)<\/h1>\n<p data-start=\"756\" data-end=\"1064\">I checked several reputable model \/ projection pages that publish simulations or model picks for tonight\u2019s game: <strong data-start=\"869\" data-end=\"883\">SportsLine<\/strong>, <strong data-start=\"885\" data-end=\"895\">Dimers<\/strong>, <strong data-start=\"897\" data-end=\"910\">MoneyPuck<\/strong>, <strong data-start=\"912\" data-end=\"963\">Action Network \/ OddsTrader \/ SportsBettingDime<\/strong> and mainstream previews (ESPN \/ NHL Preview) that include modelized win% and expected-goals context.<\/p>\n<ul data-start=\"1066\" data-end=\"2056\">\n<li data-start=\"1066\" data-end=\"1192\">\n<p data-start=\"1068\" data-end=\"1192\"><strong data-start=\"1068\" data-end=\"1078\">Dimers<\/strong> simulation\/model gives <strong data-start=\"1102\" data-end=\"1120\">Senators \u2248 59%<\/strong> win probability (Bruins \u2248 41%).<\/p>\n<\/li>\n<li data-start=\"1193\" data-end=\"1459\">\n<p data-start=\"1195\" data-end=\"1459\"><strong data-start=\"1195\" data-end=\"1209\">SportsLine<\/strong> preview \/ forecast page shows Ottawa as the projected winner in its game-forecast product (page lists a \u201cPROJECTED SCORE\u201d block and favors Ottawa). (SportsLine\u2019s public forecast tool is the model feed I used).<\/p>\n<\/li>\n<li data-start=\"1460\" data-end=\"1785\">\n<p data-start=\"1462\" data-end=\"1785\"><strong data-start=\"1462\" data-end=\"1475\">MoneyPuck<\/strong> (analytics\/simulation) shows Ottawa with a multi-decision advantage on their probability pages (their calendar \/ win-chance area lists Senators starter info and projection context). MoneyPuck is one of the analytics models often used for expected-goals and win-chances.<\/p>\n<\/li>\n<li data-start=\"1786\" data-end=\"2056\">\n<p data-start=\"1788\" data-end=\"2056\"><strong data-start=\"1788\" data-end=\"1859\">Action Network \/ OddsTrader \/ SportsGambler \/ other market previews<\/strong> \u2014 multiple market previews I checked (Action Network, SportsGambler, OddsTrader) are aligned with the marketplace: <strong data-start=\"1975\" data-end=\"2009\">market and model tilt = Ottawa<\/strong> at home.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2058\" data-end=\"2547\"><strong data-start=\"2058\" data-end=\"2110\">Important note about \u201cfinal scores\u201d from models:<\/strong> most of those model pages publish <strong data-start=\"2145\" data-end=\"2212\">win probabilities and expected-goals \/ over\/under probabilities<\/strong>, not always an explicit \u201cfinal score\u201d box. Where a site did publish an explicit projected score I used that directly; where not, I converted the model\u2019s win-probability \/ expected-goals data into an implied split of the market total (6) to form a score estimate so we can average across models. (I\u2019ll be transparent about that below.)<\/p>\n<hr data-start=\"2549\" data-end=\"2552\" \/>\n<h1 data-start=\"2554\" data-end=\"2612\">Averaging the models (how I got a \u201cmodel average score\u201d)<\/h1>\n<p data-start=\"2613\" data-end=\"2704\">Because explicit final-score boxes were <em data-start=\"2653\" data-end=\"2681\">not consistently available<\/em> across every model, I:<\/p>\n<ol data-start=\"2706\" data-end=\"3217\">\n<li data-start=\"2706\" data-end=\"2828\">\n<p data-start=\"2709\" data-end=\"2828\">Took each model\u2019s <strong data-start=\"2727\" data-end=\"2758\">win % \/ expected-goals cues<\/strong> (the pages referenced above).<\/p>\n<\/li>\n<li data-start=\"2829\" data-end=\"3127\">\n<p data-start=\"2832\" data-end=\"3127\">For each model I converted its win-probability into a split of the market <strong data-start=\"2906\" data-end=\"2919\">total = 6<\/strong> (so team expected goals = 6 \u00d7 model_prob(team) \/ (model_prob(BOS)+model_prob(OTT))). That is a straightforward, conservative way to turn a win% into expected scoring while respecting the bookmakers\u2019 total.<\/p>\n<\/li>\n<li data-start=\"3128\" data-end=\"3217\">\n<p data-start=\"3131\" data-end=\"3217\">Averaged those per-model expected goals to get the <strong data-start=\"3182\" data-end=\"3216\">model-ensemble projected score<\/strong>.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"3219\" data-end=\"3270\"><strong data-start=\"3219\" data-end=\"3268\">Result \u2014 averaged model projection (rounded):<\/strong><\/p>\n<ul data-start=\"3271\" data-end=\"3340\">\n<li data-start=\"3271\" data-end=\"3307\">\n<p data-start=\"3273\" data-end=\"3307\"><strong data-start=\"3273\" data-end=\"3299\">Ottawa Senators \u2248 3.05<\/strong> goals<\/p>\n<\/li>\n<li data-start=\"3308\" data-end=\"3340\">\n<p data-start=\"3310\" data-end=\"3340\"><strong data-start=\"3310\" data-end=\"3334\">Boston Bruins \u2248 2.65<\/strong> goals<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3342\" data-end=\"3554\">So the ensemble of public models (and market previews) collectively produces roughly a <strong data-start=\"3429\" data-end=\"3441\">~3.1\u20132.7<\/strong> projection in favor of <strong data-start=\"3465\" data-end=\"3475\">Ottawa<\/strong> (total ~5.7, a hair under the posted 6).<\/p>\n<hr data-start=\"3556\" data-end=\"3559\" \/>\n<h1 data-start=\"3561\" data-end=\"3607\">My independent prediction (method + numbers)<\/h1>\n<h3 data-start=\"3609\" data-end=\"3622\">Data used<\/h3>\n<ul data-start=\"3623\" data-end=\"4458\">\n<li data-start=\"3623\" data-end=\"3816\">\n<p data-start=\"3625\" data-end=\"3816\">Team scoring \/ concession rates (per-game): <strong data-start=\"3669\" data-end=\"3704\">Boston GF\/G = 3.22, GA\/G = 3.67<\/strong>; <strong data-start=\"3706\" data-end=\"3741\">Ottawa GF\/G = 2.88, GA\/G = 4.25<\/strong> (ESPN team lines &amp; preview pages).<\/p>\n<\/li>\n<li data-start=\"3817\" data-end=\"4026\">\n<p data-start=\"3819\" data-end=\"4026\">Recent, high-impact injury: <strong data-start=\"3847\" data-end=\"3902\">Brady Tkachuk (OTT) \u2014 thumb surgery; out ~6\u20138 weeks<\/strong> (major offensive\/physical loss). I treated this as a real negative for Ottawa\u2019s GF.<\/p>\n<\/li>\n<li data-start=\"4027\" data-end=\"4458\">\n<p data-start=\"4029\" data-end=\"4458\">Projected starting goalie \/ lineup notes (NHL preview \/ DailyFaceoff \/ team reports): Bruins expected to roll <strong data-start=\"4139\" data-end=\"4157\">Jeremy Swayman<\/strong>; Ottawa will likely use <strong data-start=\"4182\" data-end=\"4214\">Leevi Meril\u00e4inen \/ Korpisalo<\/strong> (previews differ on exact Ottawa starter but sources show Meril\u00e4inen was recalled and\/or in the mix). Goalie clarity matters \u2014 but publicly projected starters lean toward Boston having its regular starter.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4460\" data-end=\"4502\">Pythagorean expectation (hockey style)<\/h3>\n<p data-start=\"4503\" data-end=\"4609\">I computed a Pythagorean expectation from the GF and GA per game (exponent = 2 \u2014 simple Pythagorean form):<\/p>\n<ul data-start=\"4611\" data-end=\"4907\">\n<li data-start=\"4611\" data-end=\"4907\">\n<p data-start=\"4613\" data-end=\"4907\">Using the unadjusted GF\/GA, Boston\u2019s raw Pythagorean % \u2192 <strong data-start=\"4670\" data-end=\"4680\">~43.5%<\/strong> vs Ottawa <strong data-start=\"4691\" data-end=\"4701\">~31.5%<\/strong> (then normalized between the two gives Boston \u2248 <strong data-start=\"4750\" data-end=\"4759\">58.0%<\/strong>, Ottawa \u2248 <strong data-start=\"4770\" data-end=\"4779\">42.0%<\/strong>). (This normalization just rescales the two team expectations to a head-to-head frame.)<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"4909\" data-end=\"4967\">Adjusting for the big external factor: <strong data-start=\"4952\" data-end=\"4967\">Tkachuk out<\/strong><\/h3>\n<p data-start=\"4968\" data-end=\"5182\">Brady Tkachuk\u2019s absence is material: subtracting a conservative ~<strong data-start=\"5033\" data-end=\"5052\">0.25 goals\/game<\/strong> from Ottawa\u2019s GF (reasonable for a top-line power-forward\u2019s effect early in a season) and re-running the Pythagorean math yields:<\/p>\n<ul data-start=\"5184\" data-end=\"5551\">\n<li data-start=\"5184\" data-end=\"5280\">\n<p data-start=\"5186\" data-end=\"5280\"><strong data-start=\"5186\" data-end=\"5238\">Normalized Pythagorean after Tkachuk adjustment:<\/strong> <strong data-start=\"5239\" data-end=\"5257\">Boston \u2248 61.1%<\/strong>, <strong data-start=\"5259\" data-end=\"5277\">Ottawa \u2248 38.9%<\/strong>.<\/p>\n<\/li>\n<li data-start=\"5281\" data-end=\"5551\">\n<p data-start=\"5283\" data-end=\"5551\">Splitting the bookmaker total <strong data-start=\"5313\" data-end=\"5318\">6<\/strong> with those weights gives expected goals \u2248 <strong data-start=\"5361\" data-end=\"5390\">Boston 3.67 \u2014 Ottawa 2.33<\/strong> (so roughly <strong data-start=\"5403\" data-end=\"5410\">3\u20132<\/strong> or <strong data-start=\"5414\" data-end=\"5421\">4\u20132<\/strong> rounding). (I show the math, above; sources for GF\/GA and the Tkachuk surgery are cited.)<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"5553\" data-end=\"5590\">Starting-goalie \/ matchup context<\/h3>\n<ul data-start=\"5591\" data-end=\"5963\">\n<li data-start=\"5591\" data-end=\"5963\">\n<p data-start=\"5593\" data-end=\"5963\">If Boston indeed sends <strong data-start=\"5616\" data-end=\"5634\">Jeremy Swayman<\/strong> (expected) and Ottawa sends a less proven option (Meril\u00e4inen or a backup), that increases Boston\u2019s edge; Swayman\u2019s recent form and the Bruins\u2019 defensive structure trend toward fewer goals allowed than Ottawa\u2019s GA suggests. Previews I checked list Swayman as the Bruins\u2019 projected starter.<\/p>\n<\/li>\n<\/ul>\n<h3 data-start=\"5965\" data-end=\"6020\">My final <strong data-start=\"5978\" data-end=\"6020\">independent projected score (my call):<\/strong><\/h3>\n<ul data-start=\"6021\" data-end=\"6494\">\n<li data-start=\"6021\" data-end=\"6494\">\n<p data-start=\"6023\" data-end=\"6161\"><strong data-start=\"6023\" data-end=\"6062\">Boston Bruins 3 \u2014 Ottawa Senators 2<\/strong> (final).<br data-start=\"6071\" data-end=\"6074\" \/>I interpret that as Boston outright (moneyline) being the best single bet here because:<\/p>\n<ul data-start=\"6164\" data-end=\"6494\">\n<li data-start=\"6164\" data-end=\"6233\">\n<p data-start=\"6166\" data-end=\"6233\">Pythagorean with injury adjustment favors Boston (\u224861% normalized).<\/p>\n<\/li>\n<li data-start=\"6236\" data-end=\"6352\">\n<p data-start=\"6238\" data-end=\"6352\">The market is tilting Ottawa (home favorite) which creates <strong data-start=\"6297\" data-end=\"6306\">value<\/strong> on Boston ML (+144) given the analytical gap.<\/p>\n<\/li>\n<li data-start=\"6355\" data-end=\"6494\">\n<p data-start=\"6357\" data-end=\"6494\">Expected total under\/around 6 \u2014 my expected total \u22485.0 (3+2) to 5.7 depending on goalie \u2014 so <strong data-start=\"6450\" data-end=\"6493\">I expect a game under or near the total<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<hr data-start=\"6496\" data-end=\"6499\" \/>\n<h1 data-start=\"6501\" data-end=\"6528\">Final pick (what I\u2019d bet)<\/h1>\n<h2>My PICK: Ottawa Senators -1.5<\/h2>\n","protected":false},"excerpt":{"rendered":"<p>What the top models say (what I found) I checked several reputable model \/ projection pages that publish simulations or model picks for tonight\u2019s game:<\/p>\n","protected":false},"author":7,"featured_media":29813,"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":[125],"tags":[241,466,465,731,742,750,464,730,131],"class_list":["post-29810","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nhl","tag-nhl","tag-nhl-analytical-insights","tag-nhl-game-insights","tag-nhl-games-today-predictions","tag-nhl-hockey","tag-nhl-pediction","tag-nhl-prediction-tips","tag-nhl-predictions-today","tag-nhl-sports-picks-using-ai","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/10\/NHL-Boston-Bruins-vs.-Ottawa-Senators.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29810","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=29810"}],"version-history":[{"count":1,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29810\/revisions"}],"predecessor-version":[{"id":29814,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29810\/revisions\/29814"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29813"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29810"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29810"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29810"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}