{"id":29124,"date":"2025-09-21T19:41:50","date_gmt":"2025-09-21T19:41:50","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=29124"},"modified":"2025-09-22T11:23:17","modified_gmt":"2025-09-22T11:23:17","slug":"breaking-down-the-numbers-behind-red-sox-vs-rays","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/breaking-down-the-numbers-behind-red-sox-vs-rays\/","title":{"rendered":"Breaking Down the Numbers Behind Red Sox vs. Rays"},"content":{"rendered":"<h2 data-start=\"324\" data-end=\"350\">What I checked (sources)<\/h2>\n<ul data-start=\"351\" data-end=\"1333\">\n<li data-start=\"351\" data-end=\"449\">\n<p data-start=\"353\" data-end=\"449\">ESPN Matchup Predictor (win probability \/ matchup page).<\/p>\n<\/li>\n<li data-start=\"450\" data-end=\"613\">\n<p data-start=\"452\" data-end=\"613\">SportsLine game forecast &amp; injury list (page is partly paywalled but shows model is active and lists injuries\/probables).<\/p>\n<\/li>\n<li data-start=\"614\" data-end=\"746\">\n<p data-start=\"616\" data-end=\"746\">BetQL game listing (their preview page \/ model product page; some content behind paywall).<\/p>\n<\/li>\n<li data-start=\"747\" data-end=\"1008\">\n<p data-start=\"749\" data-end=\"1008\">Aggregate\/model sites &amp; free projections (ATS.io, Predictem, Tony&#8217;s Picks, PickDawgz, Docsports, SportsBettingStats). (I used these because several publish explicit <em data-start=\"914\" data-end=\"927\">final-score<\/em> projections or short-model projections).<\/p>\n<\/li>\n<li data-start=\"1009\" data-end=\"1139\">\n<p data-start=\"1011\" data-end=\"1139\">Team season totals \/ Pythagorean inputs (Baseball-Reference team runs scored &amp; allowed).<\/p>\n<\/li>\n<li data-start=\"1140\" data-end=\"1333\">\n<p data-start=\"1142\" data-end=\"1333\">Latest game recaps and starter announcements (Reuters, MLB.com, local beat \/ previews confirming Connelly Early to start for BOS and Ryan Pepiot for TB).<\/p>\n<\/li>\n<\/ul>\n<hr data-start=\"1335\" data-end=\"1338\" \/>\n<h2 data-start=\"1340\" data-end=\"1399\">Collected model projections (what was actually available)<\/h2>\n<p data-start=\"1400\" data-end=\"1832\">Important: several premium models (SportsLine, BetQL) publish simulation outputs behind paywalls; publicly they show picks\/win-probabilities and line movement but not always the exact numeric final-score projection. Where a site <em data-start=\"1629\" data-end=\"1634\">did<\/em> publish a numeric final-score projection, I used it directly. For other top models I used their published win % \/ narrative and (clearly labeled) inferred score where a numeric score wasn\u2019t posted.<\/p>\n<p data-start=\"1834\" data-end=\"1898\">The explicit <strong data-start=\"1847\" data-end=\"1874\">final-score projections<\/strong> I found (public pages):<\/p>\n<ol data-start=\"1900\" data-end=\"2230\">\n<li data-start=\"1900\" data-end=\"1998\">\n<p data-start=\"1903\" data-end=\"1998\"><strong data-start=\"1903\" data-end=\"1932\">ATS.io (model projection)<\/strong> \u2014 <strong data-start=\"1935\" data-end=\"1957\">Red Sox 5 \u2014 Rays 3<\/strong>.<\/p>\n<\/li>\n<li data-start=\"1999\" data-end=\"2133\">\n<p data-start=\"2002\" data-end=\"2133\"><strong data-start=\"2002\" data-end=\"2045\">Tonyspicks \/ several free preview sites<\/strong> \u2014 <strong data-start=\"2048\" data-end=\"2070\">Red Sox 6 \u2014 Rays 3<\/strong>. (Tonyspicks example).<\/p>\n<\/li>\n<li data-start=\"2134\" data-end=\"2230\">\n<p data-start=\"2137\" data-end=\"2230\"><strong data-start=\"2137\" data-end=\"2166\">Predictem (computer pick)<\/strong> \u2014 <strong data-start=\"2169\" data-end=\"2191\">Red Sox 4 \u2014 Rays 2<\/strong>.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"2232\" data-end=\"2373\">Other top outlets \/ models I checked but that did NOT publish a clear numeric final-score on the public page (I\u2019m transparent about these):<\/p>\n<ul data-start=\"2374\" data-end=\"2825\">\n<li data-start=\"2374\" data-end=\"2495\">\n<p data-start=\"2376\" data-end=\"2495\"><strong data-start=\"2376\" data-end=\"2402\">ESPN Matchup Predictor<\/strong>: Boston win probability <strong data-start=\"2427\" data-end=\"2436\">56.8%<\/strong> (no public score).<\/p>\n<\/li>\n<li data-start=\"2496\" data-end=\"2696\">\n<p data-start=\"2498\" data-end=\"2696\"><strong data-start=\"2498\" data-end=\"2512\">SportsLine<\/strong>: model\/simulations are behind a subscriber wall; page shows sharps\/public distribution and injuries but numeric projected score behind login.<\/p>\n<\/li>\n<li data-start=\"2697\" data-end=\"2825\">\n<p data-start=\"2699\" data-end=\"2825\"><strong data-start=\"2699\" data-end=\"2708\">BetQL<\/strong>: preview page exists but detailed projections are behind their subscription.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2827\" data-end=\"3203\">Because the user asked to \u201ccollect and average the final score predictions provided by these AI models,\u201d I averaged the explicit numeric projections that were publicly available (the three above). I <em data-start=\"3026\" data-end=\"3032\">also<\/em> note that the paywalled models (SportsLine, BetQL) publicly lean Boston and give similar win-probability advantages for Boston \u2014 so the public-model signal is consistent.<\/p>\n<hr data-start=\"3205\" data-end=\"3208\" \/>\n<h2 data-start=\"3210\" data-end=\"3259\">Average of the explicit model score projections<\/h2>\n<p data-start=\"3260\" data-end=\"3315\">Using the three publicly available numeric projections:<\/p>\n<ul data-start=\"3316\" data-end=\"3398\">\n<li data-start=\"3316\" data-end=\"3341\">\n<p data-start=\"3318\" data-end=\"3341\">ATS.io \u2192 BOS 5 \u2014 TB 3<\/p>\n<\/li>\n<li data-start=\"3342\" data-end=\"3371\">\n<p data-start=\"3344\" data-end=\"3371\">Tonyspicks \u2192 BOS 6 \u2014 TB 3<\/p>\n<\/li>\n<li data-start=\"3372\" data-end=\"3398\">\n<p data-start=\"3374\" data-end=\"3398\">Predictem \u2192 BOS 4 \u2014 TB 2<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3400\" data-end=\"3449\">Averaging those (run totals averaged separately):<\/p>\n<ul data-start=\"3450\" data-end=\"3548\">\n<li data-start=\"3450\" data-end=\"3492\">\n<p data-start=\"3452\" data-end=\"3492\">Boston: (5 + 6 + 4) \/ 3 = <strong data-start=\"3478\" data-end=\"3485\">5.0<\/strong> runs<\/p>\n<\/li>\n<li data-start=\"3493\" data-end=\"3548\">\n<p data-start=\"3495\" data-end=\"3548\">Tampa Bay: (3 + 3 + 2) \/ 3 = <strong data-start=\"3524\" data-end=\"3532\">2.67<\/strong> \u2192 round \u2248 <strong data-start=\"3543\" data-end=\"3548\">3<\/strong><\/p>\n<\/li>\n<\/ul>\n<p data-start=\"3550\" data-end=\"3653\"><strong data-start=\"3550\" data-end=\"3613\">Model-average (explicit scores) \u2248 <em data-start=\"3586\" data-end=\"3610\">Boston 5 \u2014 Tampa Bay 3<\/em>.<\/strong><\/p>\n<p data-start=\"3655\" data-end=\"3876\">(Important caveat: that average only uses publicly published numeric predictions \u2014 premium models I checked (SportsLine, BetQL) strongly favor Boston too, but they didn\u2019t publish a final numeric score on the public page.)<\/p>\n<hr data-start=\"3878\" data-end=\"3881\" \/>\n<h2 data-start=\"3883\" data-end=\"3928\">My independent prediction \u2014 method + inputs<\/h2>\n<p data-start=\"3929\" data-end=\"3940\">I combined:<\/p>\n<ol data-start=\"3942\" data-end=\"6351\">\n<li data-start=\"3942\" data-end=\"4520\">\n<p data-start=\"3945\" data-end=\"4033\"><strong data-start=\"3945\" data-end=\"3969\">Pythagorean baseline<\/strong> (using season runs scored \/ allowed from Baseball-Reference).<\/p>\n<ul data-start=\"4037\" data-end=\"4239\">\n<li data-start=\"4037\" data-end=\"4156\">\n<p data-start=\"4039\" data-end=\"4156\">Boston (2025): <strong data-start=\"4054\" data-end=\"4072\">762 RS, 653 RA<\/strong> \u2192 Baseball-Reference Pythagorean metrics.<\/p>\n<\/li>\n<li data-start=\"4160\" data-end=\"4239\">\n<p data-start=\"4162\" data-end=\"4239\">Tampa Bay (2025): <strong data-start=\"4180\" data-end=\"4198\">689 RS, 644 RA<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"4244\" data-end=\"4520\">Using a standard Pythagorean formula (exponent = 2) to produce baseline strength and converting to a head-to-head baseline gives Boston about <strong data-start=\"4386\" data-end=\"4394\">~52%<\/strong> win probability on pure season-run form (Pythagorean head-to-head scaling). (I computed this precisely when making the pick.)<\/p>\n<\/li>\n<li data-start=\"4522\" data-end=\"5063\">\n<p data-start=\"4525\" data-end=\"5063\"><strong data-start=\"4525\" data-end=\"4566\">Starting-pitcher \/ matchup adjustment<\/strong>: Connelly Early (BOS) is making a key start \u2014 small sample but dominant: very low ERA and extremely high K\/BB in his first MLB looks. Ryan Pepiot (TB) is a quality innings eater this season (good season numbers) but has some recent fatigue\/rough outings and was managed for \u201cbody fatigue\u201d in recent weeks. That gives Boston an additional edge in the starter matchup in my view (I add a material +4\u20136% chance to Boston versus the pure Pythagorean baseline).<\/p>\n<\/li>\n<li data-start=\"5065\" data-end=\"5597\">\n<p data-start=\"5068\" data-end=\"5597\"><strong data-start=\"5068\" data-end=\"5103\">Bullpen and situational\/context<\/strong>: Boston\u2019s bullpen has been better in aggregate recently and Boston has dominated this season series vs. Tampa Bay (Boston large edge head-to-head). Boston is also fighting for playoff positioning (strong incentive), Tampa Bay is effectively out or on the edge \u2014 that situational incentive also favors Boston. SportsLine\u2019s injury list and other previews show Tampa dealing with some absences and bullpen\/role issues while Boston\u2019s key bats are available.<\/p>\n<\/li>\n<li data-start=\"5599\" data-end=\"5882\">\n<p data-start=\"5602\" data-end=\"5882\"><strong data-start=\"5602\" data-end=\"5619\">Recent trends<\/strong>: Boston has won multiple recent head-to-head games (they\u2019re on a multi-game edge vs. TB this season). Tampa\u2019s recent form is worse. That pushes my game probability toward Boston beyond the simple run-differential baseline.<\/p>\n<\/li>\n<li data-start=\"5884\" data-end=\"6351\">\n<p data-start=\"5887\" data-end=\"6351\"><strong data-start=\"5887\" data-end=\"5903\">Total \/ park<\/strong>: The posted total here is <strong data-start=\"5930\" data-end=\"5935\">8<\/strong> (you gave 8). Given Early\u2019s ability to miss bats and some control issues by Pepiot at times, combined with somewhat hot Boston offense, I expect a medium scoring game but slightly below the league average \u2014 so a final total in the <strong data-start=\"6167\" data-end=\"6178\">4\u20137 run<\/strong> range for each team combined is plausible. Market totals around 8 are consistent with several previews leaning UNDER or close to it.<\/p>\n<\/li>\n<\/ol>\n<p data-start=\"6353\" data-end=\"6663\">Putting that all together (pythagorean baseline ~52% Boston, then +4\u20136% for the pitching &amp; situational edge), my head-to-head win probability estimate is <strong data-start=\"6507\" data-end=\"6529\">~57\u201359% for Boston<\/strong> \u2014 which aligns reasonably with ESPN\u2019s 56.8% and the public lean on SportsLine \/ other models.<\/p>\n<p data-start=\"6665\" data-end=\"6774\"><strong data-start=\"6665\" data-end=\"6732\">My independent final-score prediction (best single-score pick):<\/strong><br data-start=\"6732\" data-end=\"6735\" \/><strong data-start=\"6735\" data-end=\"6774\">Boston Red Sox 5 \u2014 Tampa Bay Rays 2<\/strong><\/p>\n<p data-start=\"6776\" data-end=\"7110\">Rationale: Boston\u2019s season offense (high RS) + rookie lefty Connelly Early\u2019s strong command (misses bats) + Tampa\u2019s recent offensive slump vs lefties and bullpen durability makes a 5-2\/5-3 road win the most likely single outcome. The model average (above) was 5\u20133; I tilt a hair more in favor of Boston\u2019s pitching limiting Tampa to 2.<\/p>\n<hr data-start=\"7112\" data-end=\"7115\" \/>\n<h2 data-start=\"7117\" data-end=\"7157\">News &amp; injury cross-check (quick hits)<\/h2>\n<ul data-start=\"7158\" data-end=\"7770\">\n<li data-start=\"7158\" data-end=\"7342\">\n<p data-start=\"7160\" data-end=\"7342\">ESPN &amp; SportsLine pages show <strong data-start=\"7189\" data-end=\"7207\">Connelly Early<\/strong> listed to start for Boston (third MLB start). Reuters\/MLB also confirm Early gets the start.<\/p>\n<\/li>\n<li data-start=\"7343\" data-end=\"7540\">\n<p data-start=\"7345\" data-end=\"7540\">Ryan Pepiot is the expected Rays starter; he\u2019s had a skipped start for body fatigue earlier but is expected to pitch (note: fatigue history \u2192 some risk).<\/p>\n<\/li>\n<li data-start=\"7541\" data-end=\"7770\">\n<p data-start=\"7543\" data-end=\"7770\">SportsLine\u2019s injury list flags a number of relievers on IL on both rosters, and Tampa has missed Brandon Lowe earlier in the year \u2014 an ongoing offensive impact. (See SportsLine injuries).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7772\" data-end=\"8023\">If anything material changes (starter scratched, a big bat out, or a late IL move) that would change the projection a lot; based on publicly available info at the time I ran this, nothing late and game-changing was posted on the major sites I checked.<\/p>\n<hr data-start=\"8025\" data-end=\"8028\" \/>\n<h2 data-start=\"8030\" data-end=\"8078\">Compare models \u2192 final pick &amp; betting guidance<\/h2>\n<h2 data-start=\"8081\" data-end=\"8201\"><span style=\"color: #ff0000;\"><strong data-start=\"8081\" data-end=\"8129\">My Pick: Boston Red Sox Moneyline -127 (LOSE)<\/strong><\/span><\/h2>\n","protected":false},"excerpt":{"rendered":"<p>What I checked (sources) ESPN Matchup Predictor (win probability \/ matchup page). SportsLine game forecast &amp; injury list (page is partly paywalled but shows model<\/p>\n","protected":false},"author":7,"featured_media":29125,"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-29124","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-Boston-Red-Sox-vs.-Tampa-Bay-Rays-g.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29124","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=29124"}],"version-history":[{"count":4,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29124\/revisions"}],"predecessor-version":[{"id":29141,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/29124\/revisions\/29141"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/29125"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=29124"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=29124"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=29124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}