Parity Podcast #3

Episode 3, featuring Chris Keates.
 
An experiment: tried to 'do it live'. (Read: technical difficulties kept us from recording earlier in the week.)
We address some feedback, revisit The Trade™, talk about some new kids, and #inflategate. Also, we look at prediction results and make more:
 
 
Had a long time to get this one out late again. As always, hope to be more organized next time.

Good job by you Geofford & Keates!

This is the third week you have bet against SOS...  Boooo

While Keates has picked against you three straight weeks, it's worth noting that picked you guys to win in weeks 6 and 7 which you did in fine fashion in week 6, but not so much in week 7 - so you've only got yourselves to blame (in my case, at least - I don't know why Keates hates you guys).

Dan is hurt, Sina bikes in the winter and will still be cold after the weather of today, and Sully's pants always win.

Kevin Hughes's picture

Inflategate Official Report:

What happened was that the development version of the Android App uploaded a game to the production server. Then what happened was several players were essentially paid for an extra week pf play. Took me a couple of days to find the time to fix it.

tl;dr payroll glitch

#stillbetterthanpheonix #toosoon?

Phoenix pay joke already made in episode 1.

#toolate

Brian Kells has been doing some work in the Parity app, and is also GM. Did Ninja manipulate other team's salaries to benefit his own roster? Have we found the source of the hack? No coincidence that he'd target #AllHairNoFlair, clearly one of his team's rivals.

Inflategate continues!

Mostly useful?

I'm sure that I've probably mentioned to various individuals that I would've considered Mr. Geofford Seaborn one of my mentors in Ultimate, so I'm pleased that his teachings have brought me up to a status of being "mostly useful" to my teams.

Of course, I had to take a good hard look at the stats* to see if he was perhaps understimating me at all.

As it turns out Geofford, you are mostly correct.

You and Keates are both more likely to catch a disk thrown to you than I am (98.5% & 96.25% vs 95.5%)

You are both more likely to throw a completion (89.5% & 88.1% vs 84.8%)

You are both more likely to get a D than I am (9 & 7 vs 5)

There was one area though, that provided some interesting insight.  Geofford has a unique aversion to being in the endzone.  16.5% of Keates catches were for points, while I had 15.5%.  Geofford catches a point an underwhemling 8% of the time.  

And, using stats*, I can say that if I touch the disk, it is more likely to result in a point for my team at 16.4% vesus Geofford's 14.5% and Keates 16.3%.  This is of course, neglecting that they both touch the disk twice as often as I do (305 touches & 325 touches vs 152).  

Oh.  And Keates and I have the same number of 2nd Assists.  I am assuming that most of my 2nd assists are a result of dumping to Keates who then uses that to get one of his 32 assists.  That's certainly a bit ahead of my 6 assists...but let's not talk about that.

So yup.  I suppose I am mostly useful, but definitely not a Geofford or Keates.  Yet.

*My calculations may be a subject of poor math analysis or outright fabrications and are open to debate.

 

 

Really wish there was a "like" button, because this is amazing. Your use of stats* must have Alex Bush tearing up in absentia.

You did avoid the burning question though: Just how do you pronounce Schijns? As in Matthew "Mostjly Usefujl" Schijns. 

This is what makes Parity great.

It leads to three regrets, though:

1. Mentoring you appropriately so that you're not only a useful player, but also a good heckler;

2. Saying nice things about your stats in this weeks podcast; and

3. Not reading this amazing post before recording.

 

However, it should be noted that Matthew "Skynz" Schijns cannot math very well. When you are going to Parity Stat, you must do so accurately!

First, Every catch leads to either a goal or a throw attempt. Every pickup leads to a throw attempt. Thus, your total touches are Completions + Throw Aways + Throw Drops + Goals (at the moment I don't know if the new stat model has a goal add a catch for you, and the above formula accounts for this). This gives me 97 total touches for you, with 14 of them being goals. Every time you catch a disk, it is a G 15% of the time. However, every time you touch a disk, you lead to a G, A, or AA (or a point) at a rate of ~37%.

Doing the same math for Geofford: catch, G 4.7% of the time. Touch, a point 21% of the time.

Doing the same math for me: catch, G 11% of the time. Touch, a point 32% of the time.

So even by doing the correct math you look better than Geofford and I, although given your roasting of me I think your scoring rate may be taking a nose dive this evening (and I am still better than Geofford).

Any way of getting Mark Hamill to do a spot appearance this week? He'll likely work for the publicity alone! https://audioboom.com/posts/5495377-return-of-the-trumpster