{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5b69f70c0a0eca0c20692176/6a975876a4a22c5817f6df53?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"What Analytics Reveal About College Football's Top Teams","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/5b69f70c0a0eca0c20692176/1788300365071-ffe04398-d983-4fd1-864a-a725462410a0.jpeg?height=200","description":"<p>The road to the College Football Playoff is not as straightforward as a preseason ranking suggests.</p><p><br></p><p>Bill Connelly, ESPN staff writer and creator of SP+, breaks down the analytics shaping the college football season. He examines why roster turnover creates a wider range of outcomes, how schedule strength affects playoff chances, the difference between the SEC and Big Ten, and the teams best positioned to contend. He also shares what his season simulations reveal about the title race and why a few unexpected teams could break through.</p>","author_name":"The Wharton School"}