i recently watched this video because i wasn't sure how to use poisson with points scored in a game.
at the 2:10 mark of the video justin7 uses 1.71 as the value per on free throws, is this number to be used as a constant value on free throws. it seems to me he was solving for the # since kobe averaged 5.9 free throws for the year? if he wasn't solving for the # then how did he come to get 3.45?
is this the proper way to use the method in the video with a combine prop of points and "something"
Example : i do the work suggested by justin7 in the video and get a points value of 20 and after normalizing rebound for the opponent i get 10 for a total of 30. further lets say the value of points per scoring chance is 2. so to get the expected value for the calculator i would divide 20 by 2 giving me 10 plus the 10 rebound equaling 20. so this is the number i would expected average of the poisson calculator? then i must do the same process to the bookmakers number. what number do i equated with rebounds to find the total points the book expects the player to score. should i use my normalized rebound or the average rebound the player gets a game to get the books number? then would i subtract this number from the books prop total to get the points they expect the player to score, divide it by 2, add it back to the rebound and put that number in proposition section of the calculator?
further if there is line on player vs. player combination prop like described above. player A -2.5 points + rebounds vs. player B. how do i get the expected points for each player normalized value then convert it back where the spread become relevant since the spreads -2.5 isnt using an expected average based on points per scoring chance?
i hope this make sense. it does in my head.
/edit post 1000
at the 2:10 mark of the video justin7 uses 1.71 as the value per on free throws, is this number to be used as a constant value on free throws. it seems to me he was solving for the # since kobe averaged 5.9 free throws for the year? if he wasn't solving for the # then how did he come to get 3.45?
is this the proper way to use the method in the video with a combine prop of points and "something"
Example : i do the work suggested by justin7 in the video and get a points value of 20 and after normalizing rebound for the opponent i get 10 for a total of 30. further lets say the value of points per scoring chance is 2. so to get the expected value for the calculator i would divide 20 by 2 giving me 10 plus the 10 rebound equaling 20. so this is the number i would expected average of the poisson calculator? then i must do the same process to the bookmakers number. what number do i equated with rebounds to find the total points the book expects the player to score. should i use my normalized rebound or the average rebound the player gets a game to get the books number? then would i subtract this number from the books prop total to get the points they expect the player to score, divide it by 2, add it back to the rebound and put that number in proposition section of the calculator?
further if there is line on player vs. player combination prop like described above. player A -2.5 points + rebounds vs. player B. how do i get the expected points for each player normalized value then convert it back where the spread become relevant since the spreads -2.5 isnt using an expected average based on points per scoring chance?
i hope this make sense. it does in my head.
/edit post 1000