Which Pokemon is Your Favorite Devil?

Photo by Andy Marlin/NHLI via Getty Images

It’s July 17th.

That means we’re in the dog days of Summer and bloggers such as myself start to get a bit bored drumming up the same stories of the offseason over and over again. So rather than do that, I decided to go totally off-book.

I was on Twitter yesterday and saw this tweet from Corey Sznajder (All-3-Zone tracker extraordinaire) in which each Carolina defender was assigned a Pokemon. That sounded like a fun exercise and so I decided to give it a go myself. But rather than subjectively assign a pokemon that felt like it described a player well, I decided to take this totally pure and childlike endeavor and absolutely ruin it by making it as numerical and objective as possible. And that’s why I decided to make Pokemon Similarity Scores.

A “similarity score” is a pretty commonterm that doesn’t really mean the same thing depending on where you’ve seen it. Here’s an example of Bill James’s (creator of Moneyball) similarity score. But all of the methods have one thing in common, which is that you need to compare similar stats. And that’s where I started taking some pretty incredible intellectual liberties.

I took this dataset from Kaggle in order to get some Pokemon-based data. They had 6 categories that seemed reasonable enough to match — HP (health), Attack, Defense, Special Attack, Special Defense, and Speed. I went through about a dozen possible interpretations of each one of these stats, but then I remembered that it’s July and I chose this topic because it was supposed to take LESS effort. So here’s what I decided for each category:

HP = time one ice per game (TOI/GP): HP is the amount of damage you can take, much like the endurance it takes to play heavy minutes

Attack/Defense = even-strength offense/defense (EVO_AA & EVD_AA): Attack is equivalent to offense, and defense is equivalent to ... well ... defense. They use the same word for that one. And the reason I’m only using even-strength is because “Special Teams” should be included in ...

Special Attack/Defense = powerplay offense/shorthanded defense value (PPO_AA & SHD_AA): Okay, I’ll admit, this one is a cop out. My other idea was that this would by “low-danger” because special attack is long-distance. I also considered using hits to split hem up because regular attack/defense are “physical.” But this is a definite win semantically.

Speed = faceoff/transition value and penalty drawing value (GAR_Zones and GAR_PD): Faceoffs and transitions help you get the first shot at attacking — anyone who’s played Pokemon knows that the higher Speed Pokemon attacks first — and penalty differential is one of the highest correlated metrics to actual “speed.”

Almost everything here was from evolving-hockey except for the speed metrics which are from Corsica. After calculating the z-scores for the pokemon dataset and the hockey dataset, I found the sum absolute difference from every one of the 151 pokemon across all categories for each skater. The then I divided that number from the highest number in the dataset (~23 SDs Brandon Pirri vs. Chansey) and subtracted it from 1. The result is the percent of the total potential deviation that was avoided. Ex: Kevin Rooney and Wartortle have an 88% Similarity score — there was only 12% of the potential deviation between their z-score profiles.

A couple of notes on the results: 1) This is using only the 151 original Gen 1 pokemon, 2) several pokemon have a LOT of matches. These are two things that I may fix over the course of the next few days, and if/when I do, the results of this article will become outdated. I also may not do that. But, my deadlines are Wednesdays and this is a hockey blog in July so you get this half-baked, but serviceable, result here. Oh, also Chansey is ridiculous and kinda ruins the HP variable and I may just remove it.

So, enough messing around with jargon. It’s time for what you guys all came for. What are the Devils results?!?! Well I’ll give you guys a few of my favorites.

Blake Coleman: Pidgeot

This was actually the highest match in the entire roster and it feels great to me. Two years ago, Blake Coleman was a Pidgey, just an annoying little pigeon. Last season, he became a Pidgeotto after getting a little offensive punch like maybe a Wing Attack, but also still being really annoying by repelling potential rushes with whirlwind-esque forechecking. And this year he finally graduated to a genuinely intimidating offensive force with excellent hair — Pidgeot. Nico and Palmieri also graded in as Pidgeots which is even more of an endorsement of Coleman’s excellence this past season.

Coleman’s full similarity report included Golbat and Persian as runner-ups.

Jesper Bratt: Beedrill

Bratt’s Beedrill match followed only Coleman-Pidgeot in Similarity Score. This one also seems apt — Beedrill is a winged insect with stingers on either side which makes him perfect for the dual-winger, Bratt. Beedrill looks super intimidating and if it’s his move watch out because he’s good on the attack. However, if you dive deep, you see Beedrill is a pretty easy KO and Bratt’s even-strength defense is likely the worst on the team since entering the league.

Bratt’s full similarity report included Nidorino and Dragonair as runner-ups.

Travis Zajac: Clefable

Zajac’s Clefable is middle of the pack in Similarity score, but it’s my next most favorite one so it goes here. Clefable has been around since the first generation, but is still in the overused tier of Smogon. With high health, defense, and a moveset that includes Soft-Boiled, Clefable is a really tough KO that can be used effectively to counter some elite attackers. Similarly, Zajac is a reliable player that is still serviceable in a lot of areas. He’s a minute muncher that slows things down against Crosby’s and the like so that studs can come out well-rested after. Clefable’s is only slightly below average in attack and speed and above in everything else. This super-versatile, high-usage, oldie is a natural Zajac.

Zajac’s full similarity report included Dewgong and Lickitung as runner-ups.

Other Notables:

Taylor Hall: Victreebel — elite attacker — so-so defensively.

Other notable Victreebels: John Tavares, Steve Stamkos, Auston Matthews, Brayden Point

P.K. Subban: Poliwhirl — he’ll give you the opportunities with speed and endurance, but it remains to be seen if the wrath will return.

Other notable Poliwhirls: Shayne Gosthisbehere, Kevin Shattenkirk

Andy Greene: Clefairy — same idea as Zajac/Clefable except he’s older so he’s even worse.

Other notable Clefairies: Deryk Engelland, Roman Polak, Cody Ceci, Jay Bouwmeester

Some other big names I haven't mentioned include ...

Severson: Lickitung
Butcher: Parasect
Simmonds: Cubone ...

and if you want more you can just check out the Tableau I made for this very purpose! It’s also embedded below.

Thanks for reading and feel free to share any interesting ones that you find in the comments below! Feel free to offer constructive criticism for how to improve the method, but I’ll likely ignore it seeing as this is a very unimportant endeavor. Enjoy!

Comments

Slow day at the office, huh CJ?

On the contrary, I’m fairly certain this is my best work to date.

Honestly

This is the content we have all been waiting for we just didn’t realize it

This is actually fantastic. To breakdown hockey analytic categories and compare them to an entirely different system in a clear way is extremely creative I think, and for those who have trouble with number heavy articles this is a great read. Obviously if your generation missed pokemon then oh well, but mine didn’t so I’m in the process of sending this to every hockey fan I know regardless of team preference.

This is the best Summer Hockey content I can possibly imagine. You’re going to have Steve Dangle furious he didn’t do this first.

Hey, I once compared Devils players and history to Metallica songs, so I get it.

People like CJ can’t help it when they are visionaries.

"I second that emotion."

Wow

Sorry but totally clueless on this one, Ill have to defer to my kids

Do this again, but with 80s Transformers.

I second this ^

80’s Transformers version please. Should be just as easy or even easier than comparing it to pokemon since all of the old characters had tech sheets for stats (fire power, speed, intelligence, leadership, etc) and all of those stats are much closer to being similar to hockey ones than the pokemon stats.

CJ’s gonna need that red decoder.

I vote that Scott Stevens gets the AllSpark!!

you mean the matrix of leadership.

we do not speak of those crappy michael bay movies that bastardized that concept.

Yes, of course!!...... that......... thingy.

Wasn’t sure if everyone would get an 80’s reference. I still remember crying when Optimus Prime was killed by fighting Megatron in the 1986 movie. I was so P.O.‘d at that movie. Megatron gets an overhaul and becomes Galvatron, and the Autobots get what…. Hot Rod becoming Rodimus Prime?!!! Horse Hockey!! Rodimus was such a whiner. When Optimus died, I hadn’t cried like that since Yoda died in Return of the Jedi (originally conceived as "Revenge"). Thank goodness the TV show brought Optimus back in the two-part season 3 finale.

At least I’ll give the Bay movies credit for cool CGI and detailed transformations.

Spoiler alert

Do spoilers count?

For a 33 year old movie?

Or with Mortal Kombat characters.

Saturday Morning Cartoons

I vote Care Bears!

Let’s go in the other direction, outlaws/gangsters.

Oh my god yes.

Appreciate that it’s the original 151 and not the extended universe!

Oh, summer.

MewTwo was the top Pokemon back when I was in high school.

i would’ve had no idea what was happening otherwise – i feel like i may have played silver and gold on gameboy but beyond that i got nada… top notch stuff here

our gang

maybe you can a comparison with our gang?

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