My Fielding Linear Weights metric is flawed. The unfortunate part about the flaws on the
metric are that they are hard to fix. By
hard, I mean I don’t exactly understand how to fix them. Bill James sums it up best in my mind. He said something along the lines of the
fielding stats from a poor team are not that much different from a good
team. I believe I can relate to that on
a player level. My stat does not
understand how to separate performances from good and bad. It usually just comes up with random numbers
in which one should have little confidence in.
The numbers seem to close together, bad fielders rate the same as good
fielders. That was my goal to fix, to
determine good fielders from bad fielders before I even began work on the
metric. I don’t know if my formula just
wasn’t in depth enough or not. It seems
to me that’s part of the problem. Not
enough weights, not enough in the formula to make it different.
Then the flawed nature didn’t stop there
however. I put too much stock into Range
Factor being a great metric. Without
adjustments for groundball staffs or fly ball staffs, plus more issues that
need to be adjusted for on Range Factor.
The reason we need to get this fixed is because as
of now for historical Total Runs counts for players I do not have and will
never have Defensive Runs Saved data.
So, I have to rely on something nobody can rely on. Fielding Runs. Fielding Runs, being criticized by a lot of people
is not too accurate. My goal is simply
to create a metric that has more accuracy then Fielding Runs. My estimated Runs Created formula took me
like ten minutes to create and I find it pretty good indication of how good a
player batted in a season. But fielding,
with Fielding Runs is shaky at best. So
that’s our goal create a reliable Fielding Linear Weights metric then apply to
make our Total Runs metric the best out there.
Thanks for reading.
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