whichever team we scrimmage, whatever team Casey Jones is on, they win.
So he must do something right.
Even though he was really a bad shooter, and
we can look up his stats on basketball reference.
And we would see he just wasn't that good a player from statistic wise.
But he had to be a good player.
So Jeff I know, rated teams, and I went to see a Mavericks game with my family,
because our son was a Pacers fan in spring break.
We'd go to Dallas, and so
the Mavericks played the Pacers, and Mark was in the stands.
And he remembered me from having me in class.
He said do you have any way to make the Mavericks better?
So the next day I was swimming in the hotel pool.
I said hey Jeff rates teams.
Why don't we rate players?
And so the data set we need, basically, we hard to get then, but
we managed to get it.
Is basically every second who's on the court,
the ten players for each team, and how the score moves.
And if you're a good player the score should move in your favor, and
eventually that should pick up basically all the good things you do,
like set the pick, help out on defense, and things like that.
So I can show you a simple version of adjusted plus minus where
actually you have to rate every player in the league together which of
course is a lot of mathematical problems.
But let's suppose, let's look at those Warrior data points.
We have these 130 lineups and let's just focus on that as our dataset.
So we know the number of minutes, we know how many points the Warriors won by.
Okay?
And then basically we want to figure out how many points better or
worse than average NBA player each of those players is.