Hey everyone! Thank you to everyone who participated in this year's NFL Health & Safety Analytics competition! Analytics competitions can have short timelines, and we're all impressed with the really great work seen in this quick period.
\n\nWe were excited to work with all the folks at the NFL like Amy Jorgenson, and Sam Huddleston. We're glad they choose Kaggle to be a platform to bring these types of problems and data to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future!
\n\nThe winners have been contacted and will have the opportunity to fly to Miami, FL to present their findings at the live event, and one will be selected to win tickets to Super Bowl LIV.
\n\nAs a result of last year's competition and live presentation by John Miller, the NFL instituted the \"Blindside Block\" rule. We're excited to see how data science and machine learning will continue to contribute to the health and safety of NFL players!
\n\nBelow are the winners selected by the NFL host team (in no particular order):
\n\nJohn is a winner for the second straight year, and his presentation and notebook were a clear indication to why. John focused on the amount of rest between games, lateral changes in speed from cutting or turning, changes in speed from starting and stopping, and the environmental factors of precipitation, temperature and stadium type.
\n\nElijah's submission included a unique metric for the \"zig-zaggyness\" of a player's route (My made-up word, not his) by measuring the log-ratio of distance between the start and end of the\nplayer track route over the total distance traveled. He also analyzed how the performance of players changed across field types by examining velocity (not just speed) on different turf types.
\n\nSteve and Ben examined factors for injuries like player acceleration across field types, and developed a unique approach of examining the direction the player is running as it relates to the direction the player is facing. Their presentation and methodology was incredibly clear.
\n\nIn addition to the NFL reviewing the solutions, I also personally reviewed all submissions and I'm continually blown away by the work the Kaggle community puts out. We love that Kaggle can be a medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. I wanted to highlight some personal favorites in addition to the winners above, because you should be proud of the work you've put forth. Take a look at the creativity of other Kagglers!
\n\nKeep up the great work, and happy modeling in future competitions!
\n\n@aleksandradeis gave us all a super clear, super interesting notebook that is really high quality (and your upvotes agree!)
@lehentschk and @benh20 examined the financial impact of injuries caused by turf fields, and performed some clustering around wide receiver play type (e.g. slant routes, curls, etc)
@calestini and @cathyha used a method of osculating radius, centripetal acceleration and approach velocity as a part of their analysis
@robikscube created an orientation-movement variable, and examined the impact of lateral movement to injuries
@ellisk1 clustered plays into specific movement patterns for analysis and then compared those across weather.
@david289, @riccardomogavero, and @adams3 completed a really interesting analysis measuring torque, g-forces and fatigue.
Hey everyone! Thank you to everyone who participated in this year's NFL Health & Safety Analytics competition! Analytics competitions can have short timelines, and we're all impressed with the really great work seen in this quick period.
\n\nWe were excited to work with all the folks at the NFL like Amy Jorgenson, and Sam Huddleston. We're glad they choose Kaggle to be a platform to bring these types of problems and data to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future!
\n\nThe winners have been contacted and will have the opportunity to fly to Miami, FL to present their findings at the live event, and one will be selected to win tickets to Super Bowl LIV.
\n\nAs a result of last year's competition and live presentation by John Miller, the NFL instituted the \"Blindside Block\" rule. We're excited to see how data science and machine learning will continue to contribute to the health and safety of NFL players!
\n\nBelow are the winners selected by the NFL host team (in no particular order):
\n\nJohn is a winner for the second straight year, and his presentation and notebook were a clear indication to why. John focused on the amount of rest between games, lateral changes in speed from cutting or turning, changes in speed from starting and stopping, and the environmental factors of precipitation, temperature and stadium type.
\n\nElijah's submission included a unique metric for the \"zig-zaggyness\" of a player's route (My made-up word, not his) by measuring the log-ratio of distance between the start and end of the\nplayer track route over the total distance traveled. He also analyzed how the performance of players changed across field types by examining velocity (not just speed) on different turf types.
\n\nSteve and Ben examined factors for injuries like player acceleration across field types, and developed a unique approach of examining the direction the player is running as it relates to the direction the player is facing. Their presentation and methodology was incredibly clear.
\n\nIn addition to the NFL reviewing the solutions, I also personally reviewed all submissions and I'm continually blown away by the work the Kaggle community puts out. We love that Kaggle can be a medium and vehicle through which the greater data science community can learn and develop their machine learning abilities and skills. Beginners and experts can come together to start, grow, and succeed. I wanted to highlight some personal favorites in addition to the winners above, because you should be proud of the work you've put forth. Take a look at the creativity of other Kagglers!
\n\nKeep up the great work, and happy modeling in future competitions!
\n\n@aleksandradeis gave us all a super clear, super interesting notebook that is really high quality (and your upvotes agree!)
@lehentschk and @benh20 examined the financial impact of injuries caused by turf fields, and performed some clustering around wide receiver play type (e.g. slant routes, curls, etc)
@calestini and @cathyha used a method of osculating radius, centripetal acceleration and approach velocity as a part of their analysis
@robikscube created an orientation-movement variable, and examined the impact of lateral movement to injuries
@ellisk1 clustered plays into specific movement patterns for analysis and then compared those across weather.
@david289, @riccardomogavero, and @adams3 completed a really interesting analysis measuring torque, g-forces and fatigue.
@addisonhoward - I'm curious to know if we will receive any additional feedback from the NFL. The evaluation page detailed a rubric that we would be graded on. Will these grades be made public? I think that would be helpful for us to see the areas where we could improve upon in future competitions.
", "rawMarkdown": "@addisonhoward - I'm curious to know if we will receive any additional feedback from the NFL. The evaluation page detailed a rubric that we would be graded on. Will these grades be made public? I think that would be helpful for us to see the areas where we could improve upon in future competitions.", "votes": 5, "replies": [ { "id": 719564, "postDate": "2020-01-15T15:41:38.320Z", "content": "Also curious about the points we achieved.
", "rawMarkdown": "Also curious about the points we achieved.", "votes": 3 }, { "id": 719615, "postDate": "2020-01-15T16:46:03.507Z", "content": "The NFL may choose to release their scores at a later date, but in previous Kaggle competitions, it hasn't been our policy to release scores for an analytics competition.
", "rawMarkdown": "The NFL may choose to release their scores at a later date, but in previous Kaggle competitions, it hasn't been our policy to release scores for an analytics competition." }, { "id": 719730, "postDate": "2020-01-15T19:39:43.943Z", "content": "It would be great if scores can be released - would be of great help to see how we can improve, and can bring some transparency to this whole process.
", "rawMarkdown": "It would be great if scores can be released - would be of great help to see how we can improve, and can bring some transparency to this whole process.", "votes": 3 } ] }, { "id": 719515, "postDate": "2020-01-15T15:09:17.367Z", "content": "Congrats winners! Excellent work done by so many people.
\n\nYet again the competition ends just most seasons as a football fan end... disappointed and thinking \"maybe next year\" ๐
", "rawMarkdown": "Congrats winners! Excellent work done by so many people.\n\nYet again the competition ends just most seasons as a football fan end... disappointed and thinking \"maybe next year\" ๐ ", "votes": 6 }, { "id": 718896, "postDate": "2020-01-14T23:03:16.690Z", "content": "Thank you Addison and Sam for running the competition! Thanks especially for being so responsive to questions and comments. Thanks also to those of you who posted EDA notebooks and shared other knowledge during the competition - it's what makes Kaggle great!
", "rawMarkdown": "Thank you Addison and Sam for running the competition! Thanks especially for being so responsive to questions and comments. Thanks also to those of you who posted EDA notebooks and shared other knowledge during the competition - it's what makes Kaggle great! ", "votes": 6 }, { "id": 718909, "postDate": "2020-01-14T23:56:32.210Z", "content": "Thank you Addison and Sam! This was an awesome competition to be able to a part of. The problem was very clear and the data was very clean making it pretty easy to get started with minimal work. I look forward to the pitch competition at the end of the month! Thanks to all others who competed as well. It was fun to look back through to see all the diversity across approaches and different perspectives.
", "rawMarkdown": "Thank you Addison and Sam! This was an awesome competition to be able to a part of. The problem was very clear and the data was very clean making it pretty easy to get started with minimal work. I look forward to the pitch competition at the end of the month! Thanks to all others who competed as well. It was fun to look back through to see all the diversity across approaches and different perspectives. ", "votes": 3 }, { "id": 719084, "postDate": "2020-01-15T05:47:57.140Z", "content": "Thanks to the competition organizers! I enjoyed this competition a lot! โค๏ธ \nCongratulations to the winners! ๐ \nIf anyone is interested here are my slides.
", "rawMarkdown": "Thanks to the competition organizers! I enjoyed this competition a lot! โค๏ธ \nCongratulations to the winners! ๐ \nIf anyone is interested [here are my slides](https://github.com/Lexie88rus/NFL-1st-and-Future/raw/master/NFL_Injury_Analysis.pdf).", "votes": 4 }, { "id": 718887, "postDate": "2020-01-14T22:47:13.860Z", "content": "Congrats all! Looking forward to reading the kernels. Will the slides also be uploaded?
", "rawMarkdown": "Congrats all! Looking forward to reading the kernels. Will the slides also be uploaded?", "votes": 4, "replies": [ { "id": 718924, "postDate": "2020-01-15T01:01:43.080Z", "content": "Uploading slides is at the discretion of each of the submitters (some of the winners may choose to wait until after presentations to release their slides), however we encourage sharing!
", "rawMarkdown": "Uploading slides is at the discretion of each of the submitters (some of the winners may choose to wait until after presentations to release their slides), however we encourage sharing!", "votes": 2 } ] }, { "id": 719839, "postDate": "2020-01-15T22:58:58.010Z", "content": "Congrats to winner !!
", "rawMarkdown": "Congrats to winner !!", "votes": 1 }, { "id": 719818, "postDate": "2020-01-15T22:05:52.930Z", "content": "Thank you @addisonhoward these are great initiatives by the NFL. Is really good to see how data can improve sports insights in ways that were unthinkable only few years ago. And is great to get this kind of feedback in the first kaggle competition I take part in, as a kaggle newbie!\nI also think it would be useful to see the scorecards you have used, so we can better understand the strengths & weaknesses of the submission to do even better next time (hopefully! :) )\nthanks a lot again for organising this. It truly has been a great experience!
", "rawMarkdown": "Thank you @addisonhoward these are great initiatives by the NFL. Is really good to see how data can improve sports insights in ways that were unthinkable only few years ago. And is great to get this kind of feedback in the first kaggle competition I take part in, as a kaggle newbie!\nI also think it would be useful to see the scorecards you have used, so we can better understand the strengths & weaknesses of the submission to do even better next time (hopefully! :) )\nthanks a lot again for organising this. It truly has been a great experience!", "votes": 1 }, { "id": 719672, "postDate": "2020-01-15T18:11:21.310Z", "content": "Congratulations to the winners, the team and all the great work. It was a fun competition.
", "rawMarkdown": "Congratulations to the winners, the team and all the great work. It was a fun competition.", "votes": 1 }, { "id": 719343, "postDate": "2020-01-15T11:59:12.753Z", "content": "Congratulations to all NFL Health & Safety Analytics competition! Analytics Champions
", "rawMarkdown": "Congratulations to all NFL Health & Safety Analytics competition! Analytics Champions ", "votes": 1 }, { "id": 719177, "postDate": "2020-01-15T07:54:06Z", "content": "Congratulations everyone! Awesome!
", "rawMarkdown": "Congratulations everyone! Awesome!", "votes": 1 }, { "id": 719161, "postDate": "2020-01-15T07:35:42.973Z", "content": "Congratulations to the winner!
\n\nI hope that there will be more analytics competition like this in Kaggle in the future
", "rawMarkdown": "Congratulations to the winner! \n\nI hope that there will be more analytics competition like this in Kaggle in the future ", "votes": 1 }, { "id": 719109, "postDate": "2020-01-15T06:27:21.387Z", "content": "congrats to all the winners out there!
", "rawMarkdown": "congrats to all the winners out there!", "votes": 1 }, { "id": 721732, "postDate": "2020-01-17T16:48:19.147Z", "content": "Congratulations to the winners.\nAlso would love to know how we scored.
", "rawMarkdown": "Congratulations to the winners.\nAlso would love to know how we scored.", "votes": 2 }, { "id": 718915, "postDate": "2020-01-15T00:38:55.443Z", "content": "Congrats everyone! Those amazing and complex analysis and we have a lot to learn still.\n4 months ago I didn't know anything about NFL in USA.\nNow, after 2 competition, I am a huge fan and on 5th season of \"Friday Night Lights\" (highly recommend it)
\n\nCome back next year with more knowledge and forces.\nCheers!
", "rawMarkdown": "Congrats everyone! Those amazing and complex analysis and we have a lot to learn still.\n4 months ago I didn't know anything about NFL in USA.\nNow, after 2 competition, I am a huge fan and on 5th season of **\"Friday Night Lights\"** (highly recommend it)\n\nCome back next year with more knowledge and forces.\nCheers!", "votes": 2, "replies": [ { "id": 718923, "postDate": "2020-01-15T00:59:48.007Z", "content": "Clear Eyes, Full Hearts, Can't Lose. Kaggle Forever
", "rawMarkdown": "Clear Eyes, Full Hearts, Can't Lose. Kaggle Forever", "votes": 4 }, { "id": 719034, "postDate": "2020-01-15T03:41:25.530Z", "content": "๐ loved that! When a child asked coach if God love football... this is everything!!! Cheers to everyone!
", "rawMarkdown": "๐ loved that! When a child asked coach if God love football... this is everything!!! Cheers to everyone!", "votes": 1 } ] }, { "id": 739859, "postDate": "2020-02-08T13:50:38.550Z", "content": "Congrat!
", "rawMarkdown": "Congrat!" }, { "id": 739856, "postDate": "2020-02-08T13:50:07.050Z", "content": "Congratss!
", "rawMarkdown": "Congratss!" }, { "id": 722058, "postDate": "2020-01-18T03:33:55.513Z", "content": "Congradulations to you all.
", "rawMarkdown": "Congradulations to you all." }, { "id": 721912, "postDate": "2020-01-17T21:28:49.347Z", "content": "Congratulation๐๐
", "rawMarkdown": "Congratulation๐๐" }, { "id": 720911, "postDate": "2020-01-16T21:09:07.903Z", "content": "Congrats! that's amazing.
", "rawMarkdown": "Congrats! that's amazing." }, { "id": 720069, "postDate": "2020-01-16T05:56:41.337Z", "content": "\n", "rawMarkdown": "> congratulation ... " }, { "id": 719789, "postDate": "2020-01-15T21:08:04.010Z", "content": "congratulation ...
\n
Congrats all! It was fun working with NFL data! Can't wait for next one (as my skills grow)
", "rawMarkdown": "Congrats all! It was fun working with NFL data! Can't wait for next one (as my skills grow)" }, { "id": 719402, "postDate": "2020-01-15T13:16:24.337Z", "content": "Congrats to winner! ๐
", "rawMarkdown": "Congrats to winner! ๐ " }, { "id": 722180, "postDate": "2020-01-18T08:24:03.940Z", "rawMarkdown": "", "isDeleted": true }, { "id": 721246, "postDate": "2020-01-17T08:15:06.023Z", "rawMarkdown": "", "isDeleted": true }, { "id": 720667, "postDate": "2020-01-16T16:19:03.770Z", "rawMarkdown": "", "isDeleted": true }, { "id": 719342, "postDate": "2020-01-15T11:58:49.557Z", "rawMarkdown": "", "isDeleted": true }, { "id": 718878, "postDate": "2020-01-14T22:28:20.903Z", "rawMarkdown": "", "votes": 2, "isDeleted": true } ], "comments": [ { "id": 719559, "author_name": "Rob Mulla", "author_url": "", "post_date": "2020-01-15T15:39:21.403000", "content": "@addisonhoward - I'm curious to know if we will receive any additional feedback from the NFL. The evaluation page detailed a rubric that we would be graded on. Will these grades be made public? I think that would be helpful for us to see the areas where we could improve upon in future competitions.
", "votes": 5, "replies": [ { "id": 719564, "author_name": "Psi", "author_url": "", "post_date": "2020-01-15T15:41:38.320000", "content": "Also curious about the points we achieved.
", "votes": 3, "replies": [] }, { "id": 719615, "author_name": "Addison Howard", "author_url": "", "post_date": "2020-01-15T16:46:03.507000", "content": "The NFL may choose to release their scores at a later date, but in previous Kaggle competitions, it hasn't been our policy to release scores for an analytics competition.
", "votes": 0, "replies": [] }, { "id": 719730, "author_name": "DataDeer", "author_url": "", "post_date": "2020-01-15T19:39:43.943000", "content": "It would be great if scores can be released - would be of great help to see how we can improve, and can bring some transparency to this whole process.
", "votes": 3, "replies": [] } ] }, { "id": 719515, "author_name": "Rob Mulla", "author_url": "", "post_date": "2020-01-15T15:09:17.367000", "content": "Congrats winners! Excellent work done by so many people.
\n\nYet again the competition ends just most seasons as a football fan end... disappointed and thinking \"maybe next year\" ๐
", "votes": 6, "replies": [] }, { "id": 718896, "author_name": "JohnM", "author_url": "", "post_date": "2020-01-14T23:03:16.690000", "content": "Thank you Addison and Sam for running the competition! Thanks especially for being so responsive to questions and comments. Thanks also to those of you who posted EDA notebooks and shared other knowledge during the competition - it's what makes Kaggle great!
", "votes": 6, "replies": [] }, { "id": 718909, "author_name": "Elijah Hall", "author_url": "", "post_date": "2020-01-14T23:56:32.210000", "content": "Thank you Addison and Sam! This was an awesome competition to be able to a part of. The problem was very clear and the data was very clean making it pretty easy to get started with minimal work. I look forward to the pitch competition at the end of the month! Thanks to all others who competed as well. It was fun to look back through to see all the diversity across approaches and different perspectives.
", "votes": 3, "replies": [] }, { "id": 719084, "author_name": "Aleksandra Deis", "author_url": "", "post_date": "2020-01-15T05:47:57.140000", "content": "Thanks to the competition organizers! I enjoyed this competition a lot! โค๏ธ \nCongratulations to the winners! ๐ \nIf anyone is interested here are my slides.
", "votes": 4, "replies": [] }, { "id": 718887, "author_name": "Psi", "author_url": "", "post_date": "2020-01-14T22:47:13.860000", "content": "Congrats all! Looking forward to reading the kernels. Will the slides also be uploaded?
", "votes": 4, "replies": [ { "id": 718924, "author_name": "Addison Howard", "author_url": "", "post_date": "2020-01-15T01:01:43.080000", "content": "Uploading slides is at the discretion of each of the submitters (some of the winners may choose to wait until after presentations to release their slides), however we encourage sharing!
", "votes": 2, "replies": [] } ] }, { "id": 719839, "author_name": "Dipanshu agarwal", "author_url": "", "post_date": "2020-01-15T22:58:58.010000", "content": "Congrats to winner !!
", "votes": 1, "replies": [] }, { "id": 719818, "author_name": "David 289", "author_url": "", "post_date": "2020-01-15T22:05:52.930000", "content": "Thank you @addisonhoward these are great initiatives by the NFL. Is really good to see how data can improve sports insights in ways that were unthinkable only few years ago. And is great to get this kind of feedback in the first kaggle competition I take part in, as a kaggle newbie!\nI also think it would be useful to see the scorecards you have used, so we can better understand the strengths & weaknesses of the submission to do even better next time (hopefully! :) )\nthanks a lot again for organising this. It truly has been a great experience!
", "votes": 1, "replies": [] }, { "id": 719672, "author_name": "Calestini", "author_url": "", "post_date": "2020-01-15T18:11:21.310000", "content": "Congratulations to the winners, the team and all the great work. It was a fun competition.
", "votes": 1, "replies": [] }, { "id": 719343, "author_name": "ai1776", "author_url": "", "post_date": "2020-01-15T11:59:12.753000", "content": "Congratulations to all NFL Health & Safety Analytics competition! Analytics Champions
", "votes": 1, "replies": [] }, { "id": 719177, "author_name": "DtneSEffct", "author_url": "", "post_date": "2020-01-15T07:54:06", "content": "Congratulations everyone! Awesome!
", "votes": 1, "replies": [] }, { "id": 719161, "author_name": "Rasyid Ridha", "author_url": "", "post_date": "2020-01-15T07:35:42.973000", "content": "Congratulations to the winner!
\n\nI hope that there will be more analytics competition like this in Kaggle in the future
", "votes": 1, "replies": [] }, { "id": 719109, "author_name": "Raj", "author_url": "", "post_date": "2020-01-15T06:27:21.387000", "content": "congrats to all the winners out there!
", "votes": 1, "replies": [] }, { "id": 721732, "author_name": "Harish Nagpal", "author_url": "", "post_date": "2020-01-17T16:48:19.147000", "content": "Congratulations to the winners.\nAlso would love to know how we scored.
", "votes": 2, "replies": [] }, { "id": 718915, "author_name": "Adrian Zinovei", "author_url": "", "post_date": "2020-01-15T00:38:55.443000", "content": "Congrats everyone! Those amazing and complex analysis and we have a lot to learn still.\n4 months ago I didn't know anything about NFL in USA.\nNow, after 2 competition, I am a huge fan and on 5th season of \"Friday Night Lights\" (highly recommend it)
\n\nCome back next year with more knowledge and forces.\nCheers!
", "votes": 2, "replies": [ { "id": 718923, "author_name": "Addison Howard", "author_url": "", "post_date": "2020-01-15T00:59:48.007000", "content": "Clear Eyes, Full Hearts, Can't Lose. Kaggle Forever
", "votes": 4, "replies": [] }, { "id": 719034, "author_name": "Adrian Zinovei", "author_url": "", "post_date": "2020-01-15T03:41:25.530000", "content": "๐ loved that! When a child asked coach if God love football... this is everything!!! Cheers to everyone!
", "votes": 1, "replies": [] } ] }, { "id": 739859, "author_name": "Muhammet Ikbal Elek", "author_url": "", "post_date": "2020-02-08T13:50:38.550000", "content": "Congrat!
", "votes": 0, "replies": [] }, { "id": 739856, "author_name": "Muhammet Ikbal Elek", "author_url": "", "post_date": "2020-02-08T13:50:07.050000", "content": "Congratss!
", "votes": 0, "replies": [] }, { "id": 722058, "author_name": "Phyo Min Thant", "author_url": "", "post_date": "2020-01-18T03:33:55.513000", "content": "Congradulations to you all.
", "votes": 0, "replies": [] }, { "id": 721912, "author_name": "Kasper Junge", "author_url": "", "post_date": "2020-01-17T21:28:49.347000", "content": "Congratulation๐๐
", "votes": 0, "replies": [] }, { "id": 720911, "author_name": "Lemlem", "author_url": "", "post_date": "2020-01-16T21:09:07.903000", "content": "Congrats! that's amazing.
", "votes": 0, "replies": [] }, { "id": 720069, "author_name": "Anita shinde", "author_url": "", "post_date": "2020-01-16T05:56:41.337000", "content": "\n", "votes": 0, "replies": [] }, { "id": 719789, "author_name": "Mark Eckdahl", "author_url": "", "post_date": "2020-01-15T21:08:04.010000", "content": "congratulation ...
\n
Congrats all! It was fun working with NFL data! Can't wait for next one (as my skills grow)
", "votes": 0, "replies": [] }, { "id": 719402, "author_name": "dasmehdixtr", "author_url": "", "post_date": "2020-01-15T13:16:24.337000", "content": "Congrats to winner! ๐
", "votes": 0, "replies": [] }, { "id": 722180, "author_name": "", "author_url": "", "post_date": "2020-01-18T08:24:03.940000", "content": "", "votes": 0, "replies": [] }, { "id": 721246, "author_name": "", "author_url": "", "post_date": "2020-01-17T08:15:06.023000", "content": "", "votes": 0, "replies": [] }, { "id": 720667, "author_name": "", "author_url": "", "post_date": "2020-01-16T16:19:03.770000", "content": "", "votes": 0, "replies": [] }, { "id": 719342, "author_name": "", "author_url": "", "post_date": "2020-01-15T11:58:49.557000", "content": "", "votes": 0, "replies": [] }, { "id": 718878, "author_name": "", "author_url": "", "post_date": "2020-01-14T22:28:20.903000", "content": "", "votes": 2, "replies": [] } ], "raw_markdown_by_id": { "718877": "# Congratulations!\n\nHey everyone! Thank you to everyone who participated in this year's NFL Health & Safety Analytics competition! Analytics competitions can have short timelines, and we're all impressed with the really great work seen in this quick period.\n\nWe were excited to work with all the folks at the NFL like Amy Jorgenson, and [Sam Huddleston](https://www.kaggle.com/shuddleston707). We're glad they choose Kaggle to be a platform to bring these types of problems and data to the broader data science community. They've been a pleasure to work with, and we hope to work with them again in the future!\n\nThe winners have been contacted and will have the opportunity to fly to Miami, FL to present their findings at the live event, and one will be selected to win tickets to Super Bowl LIV.\n\nAs a result of [last year's competition](https://www.kaggle.com/c/NFL-Punt-Analytics-Competition) and live presentation by [John Miller](https://www.kaggle.com/jpmiller), the NFL [instituted the \"Blindside Block\"](https://operations.nfl.com/the-rules/2019-rules-changes-and-points-of-emphasis/) rule. We're excited to see how data science and machine learning will continue to contribute to the health and safety of NFL players!\n\nBelow are the winners selected by the NFL host team (in no particular order):\n\n### Winners\n\n- *[John Miller](https://www.kaggle.com/jpmiller)*