Late this week; life happens.
Joined this week by Hadrian Mertins-Kirkwood, wearing his Coach hat and breaking down player stats in a different way to find, perhaps, a truer picture of a player than our imaginary salaries provide.
He even put together a leaderboard to show his results: http://bit.ly/HMKParityRatingLeaderboard
https://soundcloud.com/user-640277634/parity-podcast-episode-306/s-FUj3r
[Updated link; SoundCloud weirdness.]
Sebastien Belanger
Mon, 2018-12-17 09:37
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My favourite thing
I really like the indepth data analysis and the courage to call out overated players but my favorite thing about the analysis is that I somehow showed up as underated top 5. That being said, I beleive a big reason players like Craig get punished and Giulian get rewarded on this metric has just as much to do with the matchups they are volontold to take as anything else. Perhaps in a league where there is less extreems in talent, this doesn't matter as much (i.e. AUDL, university etc...)
Hadrian Mertins...
Mon, 2018-12-17 10:20
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So many variables!
Player matchups are absolutely a confounding factor. So are the specific roles people play on the field (e.g. a lot of high-touch, low-possession players get stuck with the disc in bad places because their "high-possession" receivers bail it and don't get open again). Having better receivers reduces your throwaways even if you don't actually throw it better. Playing good defence doesn't matter if the rest of your team is bad.
There are a lot of valid reasons to criticize any statistical assessment of a player. The goal here is not to come up with a perfect number, but to get a sense of the relative contribution of different players. It's useful especially in a league like this where you're trying to get the best value players on your team, not necessarily the "best" (highest salary) players.
You're right that someone like Giulian's value is inflated by his weaker matchups, but since he's going to continue to get those matchups his rating is a fair indicator of his value in this league.
Christopher Keates
Mon, 2018-12-17 10:30
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Giulian just wins his matchups.
If I had to take anyone in a "tearing off my own shirt in a rage" contest, Giulian is my pick every single time.
Marcus Bordage
Mon, 2018-12-17 10:30
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Application to Player Deployment
With the information available, I think that this is a logical way of describing the value of players in this league. I'm curious if you, Hadrian (is there some way I can tag people in the forum or is that way too advanced for this medium?), as a coach, have ever increased or decreased a players role/playing time based on this type of information and the effect it had on their stats or play?
Also, does any of this analysis, or other analysis of ultimate stats and metrics have any predictive value? Both short term and long term?
Hadrian Mertins...
Mon, 2018-12-17 10:49
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Some applications
Analysis of player stats has definitely influenced my decisions by making me aware of things I wasn't otherwise seeing. One clear example is how much more playtime I gave Khalid Al-Zahrani on the Outlaws after my analysis showed he was one of our most effective defenders, which isn't necessarily obvious when you watch him play because of his unorthodox style.
On Carleton, I would often use stats for grouping/splitting players into practice teams (or sometimes for tournament rosters). You can use this kind of analysis either to make balanced teams or, alternately, to put all of one kind of player on a team, which forces people to take on a different role.
Not sure about predictive value. In the short term, you might be able to predict game results based on the relative value of their players, but I haven't tried. Longer term, it's very difficult to quantify things like "potential" when talking about player development.
Jon Rowe
Mon, 2018-12-17 10:48
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The key to a strong team is defense
Defensive efficiency is the one HadrianStat that doesn't count towards your salary. Thus it's the one spot where you are most likely to get the best bang for your parity buck in making a strong team. There's a lot of hidden value in taking away a good look and forcing the handler into making a more difficult/less impactful throw.
-Signed, the pace setter for defensive effort...
Hadrian Mertins...
Mon, 2018-12-17 11:27
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Changing methodology
There are a few things I want to tweak about the methodology but I held off for the sake of consistency between the leaderboard and the podcast. I'll update it when I add the week 7 data.
Basically, I need to scale touches per point played to the number of offensive points played (the opposite of what I did for blocks), because if you start a point on defense you of course have fewer chances to touch the disc. I'm also going to modify the scoring percentage measure to include second assists (valued at half a goal or assist) to better account for players that put the disc into good positions without necessarily scoring.
The overall rankings don't change much but a few people will move up or down. Brian Perry shoots up the rankings because he's only started 36% of his points on offense, which makes his touches rating go way up. Other big beneficiaries of the changes are Adrienne Junek, Jon Champagne, Adam MacDonald, Samantha Breslauer and Steve Bisang. Among the losers are myself... no longer in the top 10 :'(
Jim Robinson
Mon, 2018-12-17 11:31
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Is there value in looking not
Is there value in looking not only at points that start on defence, but also points where they play defence at all?
For the defensive stats.
Hadrian Mertins...
Mon, 2018-12-17 11:35
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But it's so much work
Yes, that's actually the "correct" way to do it. If we really dig into the game stats we can specifically identify how many times a player was on the field when their team had possession and how many times they played defense. I do something similar with the Outlaws stats to help balance ratings between O-line and D-line players.
In this case, that data is not super accessible in the public spreadsheet and would take some work to parse. I use the "per O point played" and "per D point played" as a proxy but it's not the most accurate measure.
Sebastien Belanger
Mon, 2018-12-17 11:59
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Matchup Tiers
Every team has an unofficial ranking that goes into who gets to \ has to cover who. On my last team, poor Jared was our top athlete and was therefore forced to cover the top tier players. Now that Luca is on his roster, it's time to buy Jared stock cause he's about to dominate tier 2. I believe an important consideration is to have high value players at tiers without sacrificing a team defense by creating a rediculous missmatch.
Amos Lee
Mon, 2018-12-17 13:11
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Tom Newman proves that
Tom Newman proves that Hadrian's numbers are bogus by sitting so high amongst the males. Hadrian, maybe you should make those adjustments to your numbers before week 7 or you might lose all credibility.
Jared Cohen
Mon, 2018-12-17 13:43
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Seb's encouraging words
Seb's encouraging words notwithstanding, Tom has actually been the one taking on our toughest match-ups while still putting up great offensive numbers. Amos may tease, but there's no debate over who is the best Newman.
John Haig
Mon, 2018-12-17 13:53
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I’ve messed around with
I’ve messed around with similar looks at the numbers but from slightly different angles. Have you looked at how closely your offensive measurements mirror O point plus minus?
Hadrian Mertins...
Mon, 2018-12-17 14:40
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Offensive plus-minus
So there are two different offensive plus-minus measures I'm aware of: (#1) the shorthand individual summary calculation (goals + assists + blocks - turnovers) and (#2) offensive efficiency (how often a player scores when starting a point on O).
I plotted them both against an average of my three offensive indicators. The first kind of plus-minus actually correlates pretty closely with my offensive rating (R2 = 0.608), which is surprising since the shorthand method doesn't take into account the number of points played or anything like that.
The second kind of plus-minus (offensive efficiency) has a weak positive correlation with my offensive rating (R2 = 0.188), but it's pretty scattered. What that means is there are a lot of people who are individually effective with the disc, but their teams are failing to score (i.e., strong players are being let down by weaker teammates); and conversely, there are a lot of people who are not very effective with the disc but their teams are scoring anyway (i.e, weak players are riding the coat-tails of better players).
If offensive efficiency is such a poor indicator of offensive performance, than why do I use defensive efficiency in my ratings? The straightforward answer is a lack of alternative defensive measures, but I think there's a more fundamental difference here. On offense, you only need two people to be successful. As long as they play well, it doesn't matter how good your other four players are. On defense, on the other hand, everyone on the field has to play well (in the context of their individual matchup) in order to get a turnover. It doesn't matter if you have the two best players on the field playing defense if the four weakest players on the offensive team can win their matchups... poaches notwithstanding.
Basically, it's a lot harder to inflate your defensive efficiency number than it is to inflate your offensive efficiency number.
Marie-Ange Gravel
Mon, 2018-12-17 14:49
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Now the question is - Are
Now the question is - Are these R2 significant? I miss p-values #saidnooneever
John Haig
Mon, 2018-12-17 14:54
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Interesting stuff. I spent a
Interesting stuff. I spent a bit of time kicking around the idea of calculating a player rating based on how much more likely your team was to score with you on the field compared to the average for your team. Which can be tough when rosters change every couple of weeks.
Amos Lee
Tue, 2018-12-18 08:13
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Well even poaches
Well even poaches notwithstanding, there's an argument that it does really matter that 'weaker' offensive efficiency players are getting the disc more. Definitely raises the chances that they may just have an inopportune drop or throwaway. The situation of a Tom Newman bail cut gone awry forcing the 'weaker' thrower to make a high stall count throw is wonderful for the defense (and likely) although obviously not a guaranteed turnover.
Heather Wallace
Tue, 2018-12-18 11:53
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I can't believe how much I got roasted in this!
I tried really hard to improve my defensive ratio this week. Sadly, we got pumped and I did not. I'll probably just go retire from frisbee now...
Sebastien Belanger
Tue, 2018-12-18 13:10
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Matchups
Just pick the slowest person on the field and if I'm covered, cover someone in my weight class
Amos Lee
Tue, 2018-12-18 13:36
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I'm not sure why people haven
I'm not sure why people haven't mentioned the season that Seb would take his preferred matchup and just stand 30 yards in the deep space to receive hucks from the opposing team's throwers. He was easily top 3 in Ds (if not straight up first).
What are you all doing with your (parity) lives if not trying to game the system for more fake money?