{ "id": 274056, "title": "Winners from previous NFL Analytics Competitions", "url": "/competitions/nfl-big-data-bowl-2022/discussion/274056", "author_name": "", "post_date": "2021-09-23T18:41:00.206344700Z", "votes": 29, "comment_count": 4, "views": 0, "content": "

Hi, this is another edition of the NFL Big Data Bowl. Similarly to last year, it's an analytical challenge, so before starting to create a project, it's worth looking at the winners from previous editions of analytical competitions for the NFL to get inspired and find elements that should be used in your work (e.g. problem definition, clear code, notebook layout, methods of analysis, colors, way of narrating etc.):

\n

NFL Big Data Bowl 2021
\nCollege Winners:
\nhttps://www.kaggle.com/es4vr17/random-player-effects-defensive-backs/
\nhttps://www.kaggle.com/reinerj1/evaluating-and-clustering-coverage-skill
\nhttps://www.kaggle.com/zachdrapkin/target-agnostic-evaluation-of-cbs-wrs

\n

Open Winners:
\nhttps://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness
\nhttps://www.kaggle.com/jamesvenzor/defender-performance-by-pass-coverage-attribute
\nhttps://www.kaggle.com/jdruzzi/defender-evaluation-one-cut-routes-double-moves
\nhttps://www.kaggle.com/msubbaiah/illuminating-the-defense
\nhttps://www.kaggle.com/model284/a-defensive-player-coverage-evaluation-framework

\n

NFL 1st and Future - Analytics
\nWinners:
\nhttps://www.kaggle.com/jpmiller/nfl-1standfuture-report
\nhttps://www.kaggle.com/elijah24/nfl-injuries
\nhttps://www.kaggle.com/benjenkins96/nfl-1st-and-future-analysis

\n

NFL Punt Analytics Competition
\nWinners:
\nhttps://www.kaggle.com/jpmiller/nfl-punt-analytics
\nhttps://www.kaggle.com/jeffspov/nfl-punt-analytics
\nhttps://www.kaggle.com/hallayang/nfl-punt-analytics-proposal

\n

Good luck in the competition, everyone! 😄

", "messages": [ { "id": "1522026", "postDate": "09/23/2021 18:41:00", "content": "

Hi, this is another edition of the NFL Big Data Bowl. Similarly to last year, it's an analytical challenge, so before starting to create a project, it's worth looking at the winners from previous editions of analytical competitions for the NFL to get inspired and find elements that should be used in your work (e.g. problem definition, clear code, notebook layout, methods of analysis, colors, way of narrating etc.):

\n

NFL Big Data Bowl 2021
\nCollege Winners:
\nhttps://www.kaggle.com/es4vr17/random-player-effects-defensive-backs/
\nhttps://www.kaggle.com/reinerj1/evaluating-and-clustering-coverage-skill
\nhttps://www.kaggle.com/zachdrapkin/target-agnostic-evaluation-of-cbs-wrs

\n

Open Winners:
\nhttps://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness
\nhttps://www.kaggle.com/jamesvenzor/defender-performance-by-pass-coverage-attribute
\nhttps://www.kaggle.com/jdruzzi/defender-evaluation-one-cut-routes-double-moves
\nhttps://www.kaggle.com/msubbaiah/illuminating-the-defense
\nhttps://www.kaggle.com/model284/a-defensive-player-coverage-evaluation-framework

\n

NFL 1st and Future - Analytics
\nWinners:
\nhttps://www.kaggle.com/jpmiller/nfl-1standfuture-report
\nhttps://www.kaggle.com/elijah24/nfl-injuries
\nhttps://www.kaggle.com/benjenkins96/nfl-1st-and-future-analysis

\n

NFL Punt Analytics Competition
\nWinners:
\nhttps://www.kaggle.com/jpmiller/nfl-punt-analytics
\nhttps://www.kaggle.com/jeffspov/nfl-punt-analytics
\nhttps://www.kaggle.com/hallayang/nfl-punt-analytics-proposal

\n

Good luck in the competition, everyone! 😄

", "rawMarkdown": "Hi, this is another edition of the NFL Big Data Bowl. Similarly to last year, it's an analytical challenge, so before starting to create a project, it's worth looking at the winners from previous editions of analytical competitions for the NFL to get inspired and find elements that should be used in your work (e.g. problem definition, clear code, notebook layout, methods of analysis, colors, way of narrating etc.):\n\n**[NFL Big Data Bowl 2021](https://www.kaggle.com/c/nfl-big-data-bowl-2021/overview)**\nCollege Winners:\nhttps://www.kaggle.com/es4vr17/random-player-effects-defensive-backs/\nhttps://www.kaggle.com/reinerj1/evaluating-and-clustering-coverage-skill\nhttps://www.kaggle.com/zachdrapkin/target-agnostic-evaluation-of-cbs-wrs\n\nOpen Winners:\nhttps://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness\nhttps://www.kaggle.com/jamesvenzor/defender-performance-by-pass-coverage-attribute\nhttps://www.kaggle.com/jdruzzi/defender-evaluation-one-cut-routes-double-moves\nhttps://www.kaggle.com/msubbaiah/illuminating-the-defense\nhttps://www.kaggle.com/model284/a-defensive-player-coverage-evaluation-framework\n\n**[NFL 1st and Future - Analytics](https://www.kaggle.com/c/nfl-playing-surface-analytics)**\nWinners:\nhttps://www.kaggle.com/jpmiller/nfl-1standfuture-report\nhttps://www.kaggle.com/elijah24/nfl-injuries\nhttps://www.kaggle.com/benjenkins96/nfl-1st-and-future-analysis\n\n**[NFL Punt Analytics Competition](https://www.kaggle.com/c/NFL-Punt-Analytics-Competition)**\nWinners:\nhttps://www.kaggle.com/jpmiller/nfl-punt-analytics\nhttps://www.kaggle.com/jeffspov/nfl-punt-analytics\nhttps://www.kaggle.com/hallayang/nfl-punt-analytics-proposal\n\nGood luck in the competition, everyone! 😄", "votes": null }, { "id": "1526895", "postDate": "09/28/2021 11:59:28", "content": "

Thank you for sharing winners solutions!

", "rawMarkdown": "Thank you for sharing winners solutions!", "votes": null }, { "id": "1530846", "postDate": "10/01/2021 13:13:18", "content": "

Thank you for sharing!

", "rawMarkdown": "Thank you for sharing!", "votes": null }, { "id": "1530954", "postDate": "10/01/2021 13:58:15", "content": "

Thank you for sharing

", "rawMarkdown": "Thank you for sharing", "votes": null }, { "id": "1533515", "postDate": "10/04/2021 05:34:38", "content": "

Thanks for sharing

", "rawMarkdown": "Thanks for sharing", "votes": null } ], "comments": [ { "id": 1526895, "author_name": "werooring", "author_url": "", "post_date": "09/28/2021 11:59:28", "content": "

Thank you for sharing winners solutions!

", "votes": null, "replies": [] }, { "id": 1530846, "author_name": "faaizhashmi", "author_url": "", "post_date": "10/01/2021 13:13:18", "content": "

Thank you for sharing!

", "votes": null, "replies": [] }, { "id": 1530954, "author_name": "josephfthomas", "author_url": "", "post_date": "10/01/2021 13:58:15", "content": "

Thank you for sharing

", "votes": null, "replies": [] }, { "id": 1533515, "author_name": "zx347862932", "author_url": "", "post_date": "10/04/2021 05:34:38", "content": "

Thanks for sharing

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1522026": "Hi, this is another edition of the NFL Big Data Bowl. Similarly to last year, it's an analytical challenge, so before starting to create a project, it's worth looking at the winners from previous editions of analytical competitions for the NFL to get inspired and find elements that should be used in your work (e.g. problem definition, clear code, notebook layout, methods of analysis, colors, way of narrating etc.):\n\n**[NFL Big Data Bowl 2021](https://www.kaggle.com/c/nfl-big-data-bowl-2021/overview)**\nCollege Winners:\nhttps://www.kaggle.com/es4vr17/random-player-effects-defensive-backs/\nhttps://www.kaggle.com/reinerj1/evaluating-and-clustering-coverage-skill\nhttps://www.kaggle.com/zachdrapkin/target-agnostic-evaluation-of-cbs-wrs\n\nOpen Winners:\nhttps://www.kaggle.com/asmaetoumi/weighted-assessment-of-defender-effectiveness\nhttps://www.kaggle.com/jamesvenzor/defender-performance-by-pass-coverage-attribute\nhttps://www.kaggle.com/jdruzzi/defender-evaluation-one-cut-routes-double-moves\nhttps://www.kaggle.com/msubbaiah/illuminating-the-defense\nhttps://www.kaggle.com/model284/a-defensive-player-coverage-evaluation-framework\n\n**[NFL 1st and Future - Analytics](https://www.kaggle.com/c/nfl-playing-surface-analytics)**\nWinners:\nhttps://www.kaggle.com/jpmiller/nfl-1standfuture-report\nhttps://www.kaggle.com/elijah24/nfl-injuries\nhttps://www.kaggle.com/benjenkins96/nfl-1st-and-future-analysis\n\n**[NFL Punt Analytics Competition](https://www.kaggle.com/c/NFL-Punt-Analytics-Competition)**\nWinners:\nhttps://www.kaggle.com/jpmiller/nfl-punt-analytics\nhttps://www.kaggle.com/jeffspov/nfl-punt-analytics\nhttps://www.kaggle.com/hallayang/nfl-punt-analytics-proposal\n\nGood luck in the competition, everyone! 😄", "1526895": "Thank you for sharing winners solutions!", "1530846": "Thank you for sharing!", "1530954": "Thank you for sharing", "1533515": "Thanks for sharing" }, "source": "meta" }