Input

Data from Kingsley/football. This is all about the defensive side of the ball for now but offense is on the horizon. I told him that getting this ahead of a meeting would be helpful so that we can have at least looked at it before he explains it.

Kingsley is doing a good job of dreaming out, including about virtual reality – which he used while with the Tampa Bay Buccaneers, and machine learning. He does want to keep output from all of this data simple per Lovie’s desires for simplicity.

Attached files Description and Layout

9-24-16 Kent St.-Alabama Participation and Positioning (sample).csv

10-1-16 Kentucky-Alabama Participation and Positioning (sample).csv

10-8-2016 Alabama-Arkansas Participation and Positioning (sample).csv

10-15-16 Alabama-Tennessee Participation and Positioning (sample).csv

CFB_DECODE.CSV

CFB_GAMES$2016.csv

CFB_HANDOFF_TYPE_DECODE.CSV

CFB_PARTICIPATION_DECODE.CSV

CFB_PERSONNEL_DECODE.CSV

CFB_PLAYERS$2016.csv

CFB_QB_AT_PASS_DECODE.CSV

CFB_TEAMS$2016.csv

CFB_WR_BUNCH_DECODE.CSV

Defense Analysis Suggestions

Offense Analysis Suggestions

• grass vs turf and the type of plays that yield more yards or fewer downs to score
• outdoor stadiums - analysis of play types vs temp/humidity, wind direction/velocity - and if it changed halfway through game because of playing in the other direction ... do plays need to change based on wind direction
• success of certain types of passes based on wind speed/humidity - train QB to throw certain ones (type of parabola, distance, toss type) in certain conditions