Post by eric on May 25, 2017 15:49:54 GMT -6
The NBA introduced the three pointer before the 1980 season. Here is the rolling five year average of three point percentage since then.
The three red dots indicate the years where the NBA shortened the three point line. While the percentage of field goal attempts taken as three point attempts (three point ratio) has increased linearly since 1980, three point percentage itself has largely plateaued since the traditional three point line was restored: 33.1% in the five year period centered on 1998, 33.8% for 2014. As such, it is possible to define a good three point shooter over a wide era: did they make more than 33% from the three point line, yes or no? We will also add a three point ratio requirement of .15 to rule out people going 1 for 2 on the season and the like. While this rate is more forgiving of present day players, it was below average even in 1998 so we feel it is fair.
Let us take all the rookie seasons for careers including at least 4000 MP in the three point era - this is 1238 players.
Let us constrain ourselves to those whose careers began in 1998 or later - this is 562.
Because our regression can only take 248 entries, let us select the 248 entries with the highest MP in their rookie season.
Looking only at rookie season stats, can we produce a decent estimate of whether a player's career stats will exceed our criteria?
YES WE CAN
This is a graph of probability against a dummy variable (it's okay i'm a computer too i can say things like that) and the black dots are all the actual results. As you can see it's a pretty great regression, probably the best in the business. Top three. Alright, but how does it work?
That's it. That's all we need. Three point ratio, three point percentage, and free throw percentage. Using just those we get the right answer 83% of the time. Season, age, games, minutes played; field goals made and attempted, free throws made and attempted, assists, steals, turnovers, and points (per 36 minutes) are all completely irrelevant. If we add in the remaining stats (three pointers made and attempted, offensive, defensive, and total rebounds, blocks, and fouls) we get our accuracy all the way up to... 84%. Not worth it.
.
So what does the equation mean? If our hypothetical player goes out and racks up billions their whole rookie season, their chance of being a good three point shooter for their career is 1/(1+exp(4.6)) = 1%. Everybody's got a shot!
If they never take a three but make 100% from the line, their chances are 1/(1+exp(4.6-3.8)) = 31%. Not great, but a lot better than if they were a free throw bricklayer.
What would they have to do to have a 100% chance of being a good three point shooter? What we have here is an asymptote so it's literally impossible. Even if they shot all threes and hit 100% of them and their free throws the formula only gives them a 99.96% chance. Way purer than Dove (TM) soap #notspon but there are no guarantees.
.
.
Tomorrow I'm gonna go through specific examples because I think it'll be fun. If you have anyone in particular you wanna see and don't feel like doing the calcs yourself, leave their names below!
The three red dots indicate the years where the NBA shortened the three point line. While the percentage of field goal attempts taken as three point attempts (three point ratio) has increased linearly since 1980, three point percentage itself has largely plateaued since the traditional three point line was restored: 33.1% in the five year period centered on 1998, 33.8% for 2014. As such, it is possible to define a good three point shooter over a wide era: did they make more than 33% from the three point line, yes or no? We will also add a three point ratio requirement of .15 to rule out people going 1 for 2 on the season and the like. While this rate is more forgiving of present day players, it was below average even in 1998 so we feel it is fair.
Let us take all the rookie seasons for careers including at least 4000 MP in the three point era - this is 1238 players.
Let us constrain ourselves to those whose careers began in 1998 or later - this is 562.
Because our regression can only take 248 entries, let us select the 248 entries with the highest MP in their rookie season.
Looking only at rookie season stats, can we produce a decent estimate of whether a player's career stats will exceed our criteria?
YES WE CAN
This is a graph of probability against a dummy variable (it's okay i'm a computer too i can say things like that) and the black dots are all the actual results. As you can see it's a pretty great regression, probably the best in the business. Top three. Alright, but how does it work?
That's it. That's all we need. Three point ratio, three point percentage, and free throw percentage. Using just those we get the right answer 83% of the time. Season, age, games, minutes played; field goals made and attempted, free throws made and attempted, assists, steals, turnovers, and points (per 36 minutes) are all completely irrelevant. If we add in the remaining stats (three pointers made and attempted, offensive, defensive, and total rebounds, blocks, and fouls) we get our accuracy all the way up to... 84%. Not worth it.
.
So what does the equation mean? If our hypothetical player goes out and racks up billions their whole rookie season, their chance of being a good three point shooter for their career is 1/(1+exp(4.6)) = 1%. Everybody's got a shot!
If they never take a three but make 100% from the line, their chances are 1/(1+exp(4.6-3.8)) = 31%. Not great, but a lot better than if they were a free throw bricklayer.
What would they have to do to have a 100% chance of being a good three point shooter? What we have here is an asymptote so it's literally impossible. Even if they shot all threes and hit 100% of them and their free throws the formula only gives them a 99.96% chance. Way purer than Dove (TM) soap #notspon but there are no guarantees.
.
.
Tomorrow I'm gonna go through specific examples because I think it'll be fun. If you have anyone in particular you wanna see and don't feel like doing the calcs yourself, leave their names below!