{"id":20757,"date":"2024-10-19T11:28:02","date_gmt":"2024-10-19T11:28:02","guid":{"rendered":"https:\/\/atswins.ai\/blog\/?p=20757"},"modified":"2024-10-20T13:25:09","modified_gmt":"2024-10-20T13:25:09","slug":"crunching-the-stats-alabama-vs-tennessee-showdown-at-neyland","status":"publish","type":"post","link":"https:\/\/atswins.ai\/blog\/crunching-the-stats-alabama-vs-tennessee-showdown-at-neyland\/","title":{"rendered":"Crunching the Stats: Alabama vs Tennessee Showdown at Neyland"},"content":{"rendered":"

As we approach the highly anticipated matchup between the Alabama Crimson Tide and the Tennessee Volunteers on October 19, 2024, it’s essential to analyze various prediction models, recent performances, and key player injuries to determine the best betting options. This analysis will incorporate insights from several successful NCAA football prediction models, including those from BetQL and SportsLine, while also applying the Pythagorean theorem and considering strength of schedule.<\/p>\n

Top Prediction Models<\/strong><\/h2>\n
    \n
  1. SportsLine Model<\/strong>\n
      \n
    • Simulates every FBS game 10,000 times.<\/li>\n
    • Historically profitable with over $2,000 in winnings for $100 players.<\/li>\n
    • Recent performance shows a strong track record on top-rated picks.<\/li>\n<\/ul>\n<\/li>\n
    • BetQL Model<\/strong>\n
        \n
      • Offers real-time line movement tracking and expert betting percentages.<\/li>\n
      • Provides computer picks based on extensive simulations.<\/li>\n
      • Features a robust analysis of team trends and historical performance.<\/li>\n<\/ul>\n<\/li>\n
      • Dimers Model<\/strong>\n
          \n
        • Utilizes advanced algorithms and data analysis for predictions.<\/li>\n
        • Known for high accuracy in college football predictions.<\/li>\n
        • Focuses on win probabilities and betting value.<\/li>\n<\/ul>\n<\/li>\n
        • ESPN Football Power Index (FPI)<\/strong>\n
            \n
          • Analyzes team strength based on performance metrics.<\/li>\n
          • Incorporates factors like margin of victory and opponent strength.<\/li>\n
          • Provides a comprehensive view of each team’s chances in matchups.<\/li>\n<\/ul>\n<\/li>\n
          • FiveThirtyEight’s Elo Ratings<\/strong>\n
              \n
            • Uses a statistical model to rank teams based on game outcomes.<\/li>\n
            • Adjusts ratings based on opponent strength and game location.<\/li>\n
            • Offers insights into potential game outcomes and spreads.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n

              Game Overview<\/strong><\/h2>\n
                \n
              • Matchup<\/strong>: Alabama Crimson Tide vs. Tennessee Volunteers<\/li>\n
              • Location<\/strong>: Neyland Stadium, Knoxville, TN<\/li>\n
              • Moneyline<\/strong>: Alabama (-153), Tennessee (+127)<\/li>\n
              • Spread<\/strong>: Alabama favored by 3 points<\/li>\n
              • Total Points Over\/Under<\/strong>: 57.5<\/li>\n<\/ul>\n

                Team Analysis<\/strong><\/h2>\n

                Alabama Crimson Tide<\/h2>\n
                  \n
                • Record<\/strong>: 5-1<\/li>\n
                • Recent Performance<\/strong>: Narrowly defeated South Carolina (27-25) after a loss to Vanderbilt.<\/li>\n<\/ul>\n

                  Offensive Stats<\/strong>:<\/p>\n

                    \n
                  • Points per Game: 41.7 (Ranked 10th nationally)<\/li>\n<\/ul>\n

                    Defensive Stats<\/strong>:<\/p>\n

                      \n
                    • Points Allowed per Game: 20.8 (Ranked 42nd nationally)<\/li>\n<\/ul>\n

                      Tennessee Volunteers<\/h2>\n
                        \n
                      • Record<\/strong>: 5-1<\/li>\n
                      • Recent Performance<\/strong>: Overtime win against Florida (23-17) following a loss to Arkansas.<\/li>\n<\/ul>\n

                        Offensive Stats<\/strong>:<\/p>\n

                          \n
                        • Points per Game: 42.2 (Ranked 9th nationally)<\/li>\n<\/ul>\n

                          Defensive Stats<\/strong>:<\/p>\n

                            \n
                          • Points Allowed per Game: 10.7 (Ranked 3rd nationally)<\/li>\n<\/ul>\n

                            Injury Report<\/strong><\/h2>\n

                            Alabama Crimson Tide<\/h2>\n
                              \n
                            • Domani Jackson (DB)<\/li>\n
                            • Keon Sabb (DB)<\/li>\n
                            • Yhonzae Pierre (LB)<\/li>\n
                            • Daniel Hill (RB)<\/li>\n
                            • Jalen Hale (WR)<\/li>\n<\/ul>\n

                              Tennessee Volunteers<\/h2>\n
                                \n
                              • Keenan Pili (LB)<\/li>\n
                              • Emmanuel Okoye (DL)<\/li>\n
                              • Jourdan Thomas (DB)<\/li>\n<\/ul>\n

                                Prediction Methodology<\/strong><\/h2>\n

                                Using the Pythagorean theorem for scoring prediction:<\/p>\n

                                Expected\u00a0Points=Points\u00a0Scored2Points\u00a0Scored2+Points\u00a0Allowed2\u00d7Total\u00a0Points<\/span>Expected\u00a0Points<\/span><\/span>=<\/span><\/span>Points\u00a0Scored<\/span>2<\/span><\/span><\/span><\/span>+<\/span>Points\u00a0Allowed<\/span>2<\/span><\/span><\/span><\/span>Points\u00a0Scored<\/span>2<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span>\u00d7<\/span><\/span>Total\u00a0Points<\/span><\/span><\/span><\/span><\/span><\/span><\/div>\n
                                <\/div>\n
                                \"NCAA<\/div>\n

                                Calculating Expected Scores<\/h2>\n

                                For Alabama:<\/p>\n

                                Expected\u00a0Points=41.7241.72+20.82\u00d757.5\u224838.6<\/span>Expected\u00a0Points<\/span><\/span>=<\/span><\/span>41.72<\/span><\/span><\/span><\/span>+<\/span>20.82<\/span><\/span><\/span><\/span>41.72<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span>\u00d7<\/span><\/span>57.5<\/span>\u2248<\/span><\/span>38.6<\/span><\/span><\/span><\/span><\/span><\/div>\n

                                For Tennessee:<\/p>\n

                                Expected\u00a0Points=42.2242.22+10.72\u00d757.5\u224831.9<\/span>Expected\u00a0Points<\/span><\/span>=<\/span><\/span>42.22<\/span><\/span><\/span><\/span>+<\/span>10.72<\/span><\/span><\/span><\/span>42.22<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span>\u00d7<\/span><\/span>57.5<\/span>\u2248<\/span><\/span>31.9<\/span><\/span><\/span><\/span><\/span><\/div>\n

                                Model Predictions Comparison<\/strong><\/h2>\n
                                \n\n\n\n\n\n\n\n\n\n
                                Model<\/th>\nAlabama Score<\/th>\nTennessee Score<\/th>\n<\/tr>\n<\/thead>\n
                                SportsLine<\/td>\n38<\/td>\n28<\/td>\n<\/tr>\n
                                BetQL<\/td>\n35<\/td>\n30<\/td>\n<\/tr>\n
                                Dimers<\/td>\n37<\/td>\n29<\/td>\n<\/tr>\n
                                ESPN FPI<\/td>\n36<\/td>\n31<\/td>\n<\/tr>\n
                                FiveThirtyEight<\/td>\n39<\/td>\n27<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

                                Averaging Predictions<\/strong><\/h2>\n

                                Averaging the models’ predictions gives us:<\/p>\n

                                  \n
                                • Alabama Average Score<\/strong>:<\/li>\n<\/ul>\n
                                  38+35+37+36+395=37<\/span>538+<\/span>35+<\/span>37+<\/span>36+<\/span>39<\/span>\u200b<\/span><\/span><\/span><\/span><\/span>=<\/span><\/span>37<\/span><\/span><\/span><\/span><\/span><\/div>\n
                                    \n
                                  • Tennessee Average Score<\/strong>:<\/li>\n<\/ul>\n
                                    28+30+29+31+275=29<\/span>528+<\/span>30+<\/span>29+<\/span>31+<\/span>27<\/span>\u200b<\/span><\/span><\/span><\/span><\/span>=<\/span><\/span>29<\/span><\/span><\/span><\/span><\/span><\/div>\n

                                    Final Prediction and Betting Recommendation<\/strong><\/h2>\n

                                    Based on the average scores derived from the models, we predict:<\/p>\n

                                      \n
                                    • Final Score Prediction<\/strong>: Alabama Crimson Tide wins against Tennessee Volunteers with a score of approximately\u00a037 to 29<\/strong>.<\/li>\n<\/ul>\n

                                      Betting Insights:<\/h2>\n
                                        \n
                                      1. Moneyline Pick<\/strong>: Favoring Alabama at -153 seems reasonable given their scoring power and recent performance.<\/li>\n
                                      2. Spread Prediction<\/strong>: With an average score of Alabama winning by about 8 points, they are likely to cover the spread of -3.<\/li>\n
                                      3. Total Points Prediction<\/strong>: The combined score of approximately\u00a066 points<\/strong>\u00a0exceeds the over\/under of\u00a057.5<\/strong>, suggesting a bet on the over may be favorable.<\/li>\n<\/ol>\n

                                        Conclusion<\/h2>\n

                                        Considering all factors\u2014team performance, injuries, strength of schedule, and model predictions\u2014betting on Alabama to win outright while covering the spread appears to be the most strategic option for this matchup against Tennessee.<\/p>\n

                                        PICK: Alabama Crimson Tide Spread -3 (LOSE)<\/span><\/h3>\n","protected":false},"excerpt":{"rendered":"

                                        As we approach the highly anticipated matchup between the Alabama Crimson Tide and the Tennessee Volunteers on October 19, 2024, it’s essential to analyze various<\/p>\n","protected":false},"author":7,"featured_media":20758,"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":[33],"tags":[361,721,36,349,1714,51,335,346,701,1719],"class_list":["post-20757","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-college-football","tag-ai-college-football-picks","tag-alabama-crimson-tide","tag-ncaa-football","tag-ncaa-football-analysis","tag-ncaa-football-insights","tag-ncaa-football-picks-with-ai","tag-ncaa-football-player-predictions","tag-ncaa-football-prediction","tag-tennessee-volunteers","tag-top-ncaa-football-prediction-models","two-columns"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/atswins.ai\/blog\/wp-content\/uploads\/2024\/10\/NCAA-football-Alabama-Crimson-Tide-vs.-Tennessee-Volunteers.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/20757","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=20757"}],"version-history":[{"count":3,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/20757\/revisions"}],"predecessor-version":[{"id":20793,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/posts\/20757\/revisions\/20793"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media\/20758"}],"wp:attachment":[{"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/media?parent=20757"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/categories?post=20757"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atswins.ai\/blog\/wp-json\/wp\/v2\/tags?post=20757"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}