Kolten Wong, Kris Bryant, and Gerrit Cole are having the
breakout seasons many guessed they would have.
Andrew McCutchen and Brandon Belt are coming on strong and are top 12
ranked over the last month. Chris Sale
is a beast, and most of the rest of my roster has been perfectly complimentary
to these guys. And yet, I am stuck in 10th
place, staring at a dismal .425 winning percentage and a 7-3 deficit this week
which would push me down even further.
The fuck?
So I looked at the league totals and put together some “raw”
power rankings to see how unlucky I was.
I calculated them by awarding 12 points to the team that has the best
total in each category, 11 points to the team that has the second best total,
etc. If there was a tie for first, each
team would get 12 points and the team with the third best total would get 10
points. It’s an imperfect system; not
only is the tie thing weird, but it’s not weighted.
For instance, let’s look at the HR category. 1st place (Eddie) has 77 HR
through week 8, leading the league and earning 12 points for that category. 2nd
place is 14 homers behind – a wide margin – and gets 11 points in the power
rankings. 3rd place, however,
is only 3 HR behind 2nd and would get 10 points. With this point system, we’re not giving
Eddie enough credit for dominating the HR category. We’re saying the gap from 1-2 and 2-3 is the
same. It’s still an indicator of luck,
but not a great one.
I tried to come up with a weighted power ranking system but
I couldn’t connect the dots. Having to
find one system that could handle both the counting and ratio categories proved
difficult.
My new idea is to compare our numbers to the league
average. It’ll yield a number that won’t
mean much at first, but it will at least give us weighted rankings that tell us
how our numbers stack up against the league average.
Let’s go back to the HR category. When comparing team totals against league
averages, we get the following:
1) Eddie +34% vs league average
2) John +10% vs league average
3) Dan +4% vs league average
Now we’re working with something. First place Eddie’s dominance in the HR
category is accurately captured with a 24-percentage point difference over
second place John, vs second place John’s 6-percentage point difference over third
place Dan.
If we push this out to the rest of the categories, we get
the following results:
Ok, theres a lot to digest in
there. All you have to keep in mind is that 1.00 is the league average. Anything above 1.00 is above league average,
anything below 1.00 is below league average.
I also threw in some colors to easily identify areas of notable and
extreme variance from the league average.
So after all of those words
and boring math talk, here’s what you came here for:
Perka is justified in his
first place position. He’s clearly been
the best team this season, by any measure.
Way to go buddy. Musto, Russell,
and John have been the luckiest thus far. Dan, Greg, and Richie (vindication!)
have been the unluckiest. Brad and
Scanlon, I have draft picks for your good players because you have not been
unlucky and you just plan suck. Yes, I
just managed to open and close trade talks with two teams in one sentence.
Let’s push this thing into
overdrive. Go back to the examples from
earlier with the HR category. Remember
how the weighted categories more accurately depicted the gap between our
totals? Let’s keep running with that
idea.
It’s easy to say that Russell has
been luckier than Musto because he is 5 spots higher than his predicted spot,
while Musto is only 3 spots higher than his predicted spot. But I think we can quanitify this to see who’s
actually the luckiest and unluckiest.
If the 1.00 figure is the
league average, that would stand to reason that 1.00 equates to a .500% winning
percentage. So if we take the weighted
totals and subtract .500 (I think that’s how it works):
Boom. Here is your quantified luck so far from
luckiest to unluckiest.
The Variance column is how far off of your expected winning percentage you are. Russell's winning percentage is .109 higher than it should be, while Greg's is .060 lower than it should be.
First of all, nothing makes
me happier than seeing that name at the top of the list. Look at that projected winning
percentage. Gross. That’s like a whole .009 below an acceptable
winning percentage. You should be
embarrassed.
Second and not surprisingly,
we can see that the top four spots in the standings have been the luckiest
teams, while the three unluckiest teams are not currently in the playoff
picture. Brad’s in 11th
despite his good fortune - imagine if he was as unlucky as Scanlon or Greg? Dan
is in 5th and has gotten the shit end of the stick - imagine if he
was getting Russell luck?
Finally, was it worth writing
three pages of garbage just to come to the conclusion that despite being
unlucky this year, my stats are still not playoff caliber? You may have a point. But I just made up for the 6 weeks of
bloglessness with this monster. I’ll
check back in at various points in the season with the updated numbers (maybe
leave out the words) so we can either make fun of people for being unlucky or
make fun of people for not deserving their success.