{"id":28734,"date":"2025-09-07T10:12:45","date_gmt":"2025-09-07T10:12:45","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=28734"},"modified":"2025-11-22T03:38:31","modified_gmt":"2025-11-22T03:38:31","slug":"data-dive-pitching-carnage-makes-over-the-lock-in-mets-reds","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/data-dive-pitching-carnage-makes-over-the-lock-in-mets-reds\/","title":{"rendered":"Data Dive: Pitching Carnage Makes Over the Lock in Mets-Reds"},"content":{"rendered":"

Analysis of Top AI Models<\/strong><\/h3>\n
    \n
  1. \n

    SportsLine Projection Model:<\/strong>\u00a0Weights starting pitching heavily, but with both starters having limited 2025 data, it would lean on bullpen strength and overall team offense. The Mets’ significantly better record and stronger lineup would give them a slight edge, but the model would be cautious, likely resulting in a near toss-up projection, perhaps slightly favoring\u00a0CIN<\/strong>\u00a0due to home field.<\/p>\n<\/li>\n

  2. \n

    BetQL Value Model:<\/strong>\u00a0Focuses on line value. A near pick’em game (-115) at a hitter’s park with two questionable pitching situations and shaky bullpens would scream\u00a0OVER 8.5<\/strong>. The value is likely on the total, not the side.<\/p>\n<\/li>\n

  3. \n

    ESPN Analytics (Box Score Index):<\/strong>\u00a0Relies on overall team efficiency and run differential. The Mets have a better record and have likely outperformed the Reds in run differential, suggesting they are a fundamentally better team. This model would lean\u00a0NYM<\/strong>.<\/p>\n<\/li>\n

  4. \n

    NumberFire \/ FantasyPros:<\/strong>\u00a0Uses a neural network for player projections. The sheer volume of injuries, especially to the Mets’ pitching staff, would be a massive input. The model would project high run expectancy for both lineups against weak bullpens, strongly favoring the\u00a0OVER<\/strong>.<\/p>\n<\/li>\n

  5. \n

    Dimers.com\u00a0Model:<\/strong>\u00a0Runs thousands of simulations. The variables (unknown starters, terrible bullpens, hitter’s park) would create high variance. The most probable output would be a high-scoring game that either team could win, with a slight edge to the home team (CIN<\/strong>).<\/p>\n<\/li>\n<\/ol>\n

    Synthesized Model Average Prediction:<\/strong>\u00a0The AI model consensus would be fragmented on the side due to the pitching uncertainty. The strongest consensus would be on the\u00a0OVER 8.5 runs<\/strong>. If forced to pick a side, the average would likely show a coin-flip with a microscopic lean to the\u00a0Cincinnati Reds<\/strong>\u00a0due to home-field advantage.<\/p>\n

    \n

    Custom Prediction Model<\/strong><\/h3>\n

    My prediction integrates the Pythagorean Theorem, Strength of Schedule (SOS), and key situational factors.<\/p>\n

    A. Pythagorean Theorem (Expected Win-Loss):<\/strong><\/p>\n

      \n
    • \n

      New York Mets (76-66):<\/strong>\u00a0To have this record, their run differential is likely positive. Let’s estimate it at\u00a0+50<\/strong>.<\/p>\n

        \n
      • \n

        Pythagorean Win % = (50\u00b2) \/ (50\u00b2 + 50\u00b2) is not the formula. The correct formula is:<\/p>\n<\/li>\n

      • \n

        Pythagorean Win% = (Runs Scored)^1.83 \/ [(Runs Scored)^1.83 + (Runs Allowed)^1.83]<\/strong><\/p>\n<\/li>\n

      • \n

        Estimating Runs Scored = 650, Runs Allowed = 600.<\/p>\n<\/li>\n

      • \n

        Pythagorean Win % = .536 \u2192\u00a076-66<\/strong>\u00a0record. They are performing exactly to their expected level.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n

      • \n

        Cincinnati Reds (71-71):<\/strong>\u00a0A .500 team likely has a run differential near zero. Let’s estimate it at\u00a0-10<\/strong>.<\/p>\n

          \n
        • \n

          Estimating Runs Scored = 620, Runs Allowed = 630.<\/p>\n<\/li>\n

        • \n

          Pythagorean Win % = .494 \u2192\u00a070-72<\/strong>\u00a0record. They are performing one game better than expected, indicating slight luck.<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

          Conclusion:<\/strong>\u00a0The Mets are a fundamentally better team by run differential and expected wins.<\/p>\n

          B. Strength of Schedule (SOS):<\/strong><\/p>\n

            \n
          • \n

            New York Mets:<\/strong>\u00a0Play in the NL East, facing the Braves, Phillies, and Nationals. A consistently tough division.<\/p>\n<\/li>\n

          • \n

            Cincinnati Reds:<\/strong>\u00a0Play in the NL Central against the Brewers, Cubs, Cardinals, and Pirates. Generally considered a weaker division overall in 2025.<\/p>\n<\/li>\n

          • \n

            Edge:<\/strong>\u00a0The Mets’ superior record is more impressive given their likely tougher strength of schedule, further confirming they are the better team.<\/p>\n<\/li>\n<\/ul>\n

            C. The Pitching & Injury Carnage:<\/strong><\/p>\n

              \n
            • \n

              This is the entire story. Both teams have apocalyptic injury lists, especially in their pitching staffs.<\/p>\n<\/li>\n

            • \n

              Mets Bullpen:<\/strong>\u00a0Decimated. Their highest-leverage relievers are on the IL (Minter, Garrett, Smith). This forces them to rely on lower-quality arms.<\/p>\n<\/li>\n

            • \n

              Reds Bullpen:<\/strong>\u00a0Also severely damaged, missing key pieces.<\/p>\n<\/li>\n

            • \n

              Probable Starters (TBD):<\/strong>\u00a0Both teams are likely to use an “opener” or a pitcher from AAA. This means the game will be a “bullpen game” for both sides almost from the start.<\/p>\n<\/li>\n

            • \n

              Analysis:<\/strong>\u00a0This is a worst-case scenario for run prevention. Two capable offenses will be facing tired, thin, and inferior bullpens in one of the most hitter-friendly parks in MLB.<\/p>\n<\/li>\n<\/ul>\n

              D. Key Injuries & Lineup Impact:<\/strong><\/p>\n

                \n
              • \n

                The offensive injuries (Winker, Taylor for NYM) are notable but less impactful than the complete evisceration of both pitching staffs. The core bats for both teams (e.g., Alonso, Lindor; De La Cruz, Candelario) are present.<\/p>\n<\/li>\n<\/ul>\n

                E. Ballpark Factor:<\/strong><\/p>\n

                  \n
                • \n

                  Great American Ball Park is notoriously a hitter’s paradise, especially in the summer heat. It greatly increases the probability of home runs and extra-base hits.<\/p>\n<\/li>\n<\/ul>\n

                  F. Recent Performance & Trend:<\/strong><\/p>\n

                    \n
                  • \n

                    The first two games of the series were high-scoring (9 and 9 total runs), confirming that these two teams are capable of generating offense against each other’s weakened staffs.<\/p>\n<\/li>\n<\/ul>\n

                    My Custom Model Prediction:<\/strong>\u00a0The Pythagorean and SOS data favor the Mets, but the extreme nature of the pitching injuries and the ballpark environment override that. This game is far less about which team is better and almost entirely about which battered bullpen can survive longer. The expectation is for a high-scoring, back-and-forth affair.<\/p>\n

                      \n
                    • \n

                      Final Score Prediction: Mets 7, Reds 6<\/strong>\u00a0(Total Runs = 13)<\/p>\n<\/li>\n<\/ul>\n

                      \n

                      Pick<\/strong><\/h3>\n
                        \n
                      • Take the New York Mets +115 Moneyline. <\/strong>***LOSE***<\/span><\/li>\n<\/ul>\n

                         <\/p>\n","protected":false},"excerpt":{"rendered":"

                        Analysis of Top AI Models SportsLine Projection Model:\u00a0Weights starting pitching heavily, but with both starters having limited 2025 data, it would lean on bullpen strength<\/p>\n","protected":false},"author":5,"featured_media":28735,"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":[4786,4082,793,4758,842,4365,2894,918,5118],"class_list":["post-28734","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mlb","tag-ai-mlb-pick","tag-ai-mlb-prediction","tag-baseball","tag-baseball-betting-odds","tag-cincinnati-reds","tag-mlb-ai-analysis","tag-mlb-betting-analytics","tag-new-york-mets","tag-new-york-mets-vs-cincinnati-reds","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2025\/09\/New-York-Mets-vs.-Cincinnati-Reds.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/28734","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\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/comments?post=28734"}],"version-history":[{"count":3,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/28734\/revisions"}],"predecessor-version":[{"id":30411,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/28734\/revisions\/30411"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/28735"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=28734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=28734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=28734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}