{"id":16476,"date":"2024-06-22T12:13:42","date_gmt":"2024-06-22T12:13:42","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=16476"},"modified":"2024-06-23T11:33:40","modified_gmt":"2024-06-23T11:33:40","slug":"mets-on-the-move-can-they-upset-the-cubs-with-analytics-in-their-arsenal","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/mets-on-the-move-can-they-upset-the-cubs-with-analytics-in-their-arsenal\/","title":{"rendered":"Mets on the Move? Can They Upset the Cubs with Analytics in their Arsenal?"},"content":{"rendered":"

Let’s step into the batter’s box for tonight’s showdown between the Chicago Cubs and the New York Mets at Wrigley Field. We can analyze the matchup like a pro using a blend of advanced models, classic statistics, and on-field factors.<\/p>\n

\"mlb<\/p>\n

Clash of the Titans: Top Models’ Picks<\/strong><\/p>\n

First, we’ll consult the heavy hitters in MLB prediction. Here’s a rundown of the top 5 successful models (excluding BetQL and Sportsline for later):<\/p>\n

    \n
  1. DRatings:<\/strong> This model leverages historical data and incorporates starting pitchers to predict winners and runs scored.<\/li>\n
  2. The Athletic’s Eno Sarris Model:<\/strong> This focuses on pitching matchups and recent performance.<\/li>\n
  3. FanGraphs ZiPS Projections:<\/strong> This system uses complex simulations to predict wins, losses, and player performance.<\/li>\n
  4. Baseball Prospectus PECOTA:<\/strong> Similar to ZiPS, PECOTA utilizes projections based on a player’s past performance and adjustments for aging.<\/li>\n
  5. Vegas Odds:<\/strong> While not a model, oddsmakers consider a plethora of factors when setting lines.<\/li>\n<\/ol>\n

    Pythagorean Wisdom and Scheduling Woes<\/strong><\/p>\n

    Next, we’ll dial back the clock to the classic Pythagorean theorem, often used in baseball. This formula estimates a team’s winning percentage based on runs scored and runs allowed. Let’s calculate this for both teams (assuming average runs scored and allowed hold):<\/p>\n

      \n
    • Cubs:<\/strong> Runs Scored (RS) = X, Runs Allowed (RA) = Y<\/li>\n
    • Mets:<\/strong> RS = A, RA = B<\/li>\n<\/ul>\n

      Pythagorean Win% = (RS^2) \/ (RS^2 + RA^2) for both teams. This will give us a baseline for their expected performance.<\/p>\n

      We can’t forget about the season’s journey. Strength of Schedule (SOS) tells us how difficult a team’s opponents have been. A team facing weaker opponents might have a better record than their true ability suggests. Let’s consider both teams’ SOS to get a clearer picture.<\/p>\n

      The Human Touch: Injuries and Trends<\/strong><\/p>\n

      Now, for the human element. Injuries can significantly impact a team’s performance. We need to check for any key players sidelined, especially pitchers, as they heavily influence the game’s outcome. Additionally, looking at recent trends can reveal momentum swings. Are the Cubs riding a hot streak, or are the Mets desperate for a win?<\/p>\n

      \"New<\/p>\n

      Merging the Minds: A Consensus Approach<\/strong><\/p>\n

      Finally, let’s combine all this information. We’ll take the average prediction from the top 5 models, add our own analysis using Pythagorean theorem, SOS, injuries, and trends, and compare it to the Vegas odds. This will hopefully give us a well-rounded picture.<\/p>\n

      Tonight at Wrigley: A Verdict (Without Wagering)<\/strong><\/p>\n

      Based on the analysis (replace X, Y, A, and B with actual numbers):<\/strong><\/p>\n

        \n
      • Models’ Average Prediction:<\/strong> (Insert average pick: Cubs win\/Mets win\/toss-up)<\/li>\n
      • Pythagorean Win%:<\/strong> Cubs (insert %) vs. Mets (insert %)<\/li>\n
      • Strength of Schedule:<\/strong> Cubs (easier\/tougher) vs. Mets (easier\/tougher)<\/li>\n
      • Injuries:<\/strong> Consider any key injuries impacting either team.<\/li>\n
      • Trends:<\/strong> Are either team on a hot\/cold streak?<\/li>\n<\/ul>\n

        PICK: take UNDER 12 – WIN<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

        Let’s step into the batter’s box for tonight’s showdown between the Chicago Cubs and the New York Mets at Wrigley Field. We can analyze the<\/p>\n","protected":false},"author":7,"featured_media":16477,"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":false,"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":[517,934,811,499,774,838,918,615],"class_list":["post-16476","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mlb","tag-ai-analysis","tag-baseball-pick","tag-chicago-cubs","tag-free-pick","tag-mlb","tag-mlb-game-prediction","tag-new-york-mets","tag-prediction-models","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2024\/06\/New-York-Mets-vs-Chicago-Cubs-mlb.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/16476","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=16476"}],"version-history":[{"count":4,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/16476\/revisions"}],"predecessor-version":[{"id":16497,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/16476\/revisions\/16497"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/16477"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=16476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=16476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=16476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}