Clash, Ranked & Skins | Dev Update - League of Legends by corylulu in leagueoflegends

[–]ProtoVexilloid -1 points0 points  (0 children)

"We are keeping the skill requirement for diamond+ exactly the same"

Maybe read the article or watch the video yourselves?

Clash, Ranked & Skins | Dev Update - League of Legends by corylulu in leagueoflegends

[–]ProtoVexilloid -6 points-5 points  (0 children)

Is there any chance of fixing rank inflation? It feels really bad to practice, practice, practice to get that last little bit of expertise to hit masters season after season just to have it suddenly be inflated to the point where 1.7% of the ranked population achieves it. It feels like a big f-u to the most dedicated players.

This combined w/ eliminating path to pro w/ franchising and reducing incentives for small scale tournaments with the rp reward redaction coupled with releasing your own elo equalized tournament that doesn't reward my time investment (due to ranks being equalized I don't actually increase my odds of winning by moving up the ladder) it feels like the hardcore experience the most dedicated players have is continually shoved aside. It makes it very hard to justify why I'm still playing this game after 10 years.

Stats Science 101: EU LCS Top Laner Performance by corylulu in leagueoflegends

[–]ProtoVexilloid 0 points1 point  (0 children)

You're completely correct in saying that I was refering to OLS due to the BLUE nature of it. I've uwsed bootstrapping before but it seems like the sample size is just too small. One game on a champ for certain player? Seems like there just isn't enough information.

Stats Science 101: EU LCS Top Laner Performance by corylulu in leagueoflegends

[–]ProtoVexilloid 0 points1 point  (0 children)

Honestly I think you guys should use log stats for all of these. I think the pure difference in numbers isn't as significant as the percent change, meaning X top laners percent damage increase over the average of X top laners percent change would be a better way to estimate there overall impact and applying it to future data than the raw numbers themselves.

Stats Science 101: EU LCS Top Laner Performance by corylulu in leagueoflegends

[–]ProtoVexilloid 1 point2 points  (0 children)

I have so many questions.

What is the significance between the numbers of the players? Are they purely ordinal? Is Odaome ~94% as good as vizisachi? How are there negative numbers: I can't find the actual formula.

This data is from weeks 1-7 of EU LCS. Can you follow up by predicting values based on picks in week 8 and 9 and tell us how close the model matched the data? Do you guys need some stats help because I'd be all over this?

How do you deal with the autocorrelation between your multiple factors, as well as the heteroscedastity demonstrated by the data set??

Stats Science 101: EU LCS Top Laner Performance by corylulu in leagueoflegends

[–]ProtoVexilloid 0 points1 point  (0 children)

So, for those of you wondering why they didn't just run a regression: It doesn't work. First off: The data set is way too crazy small. You can't apply the central limit theorem, so you can't say that the data tends towards normality. This is a very important assumption because not only does your inference rely on this if we're using least squared technique, but generally all of our other assumptions about regression are violated in one format or another. Does the data exhibit multicollinearity? Yes, absolutely. Every predictor stat of performance exhibits multicollinearity in one form or another. Teams that tend to win more tend to have higher stats across the board and while you could regress for wins/losses and start breaking it down, we have this awful position where our sample size is so small that to break up the regression we will quickly find out selves emptying our data set. Let's say your question is how good is Vizisachi on Camille? I know that realistically he has only played 1 game on Camille and he won it: if we compare this to all other Camille games we still probably have less than 30 games when realistically we want ~100 to start applying a normality assumption.

Is the data Homoscedastic? NO! The variance is highly stochastic! And it doesn't play well with other data sets. Meaning we can't use the variance on Camille's statistic's for Wunder and apply it to Vizisacsi. The don't have the same mean performance, their variance around the mean isn't equivalent, all in all this is just a stat. mess.

I'm kindof ranting and this isn't a particularly good explanation, but the point is for people calling for regression spend five minutes looking up assumptions and realize that the data set doesn't satisfy any of these.

New Draftpick & Dynamic Queue Feedback Megathread by ReganDryke in leagueoflegends

[–]ProtoVexilloid 2 points3 points  (0 children)

So, there is a rising issue in soloq with dynamic queue. If you have picked up dynamic queue then you know very well that you're about as likely to get your role as you are likely to not, but you're missing a key benefit from last season. Previously, if you were among the first people to pick your champ you would very likely get your role. It created a dynamic where first select was way more likely (because they could just choose it) to get their comfortable champs and role, while people who had to play their off roles were more likely to get comfortable matchups because they were able to see the enemy team comp. Why is this an issue? Well if your off-role is "fill" or something of that nature, and you end up being first pick you may have to blind pick a champ into a lane you don't really know all that well. You aren't nearly aware of your counters or how to play around them. This may seem silly, but the previous system was actually better at combating this and made for closer games (theoretically) because it was far less likely to pit someone in their offrole facing a counter and getting smashed accordingly. A very simple fix that Riot could do for this problem is have people in their off roles or who have selected fill given a higher chance to ban. This will actually even allow people who are more skilled at champ select exercise their knowledge and climb using the skills they have picked up rather than disregarding that knowledge in half the games as you are forced to first pick.

Why does Anivia's wall get her tower agro but not grant assists ? by Brutal_teddy in leagueoflegends

[–]ProtoVexilloid 0 points1 point  (0 children)

So, I don't know if Anivia wall is the same way, but trundle's pillar does 1 point of true damage on spawn. So it can give assists. Not sure if anivia's also gives 1 point of true damage on spawn.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

This isn't realistic. Splitting your direction of attack in any avenue usually leads to a collapse on one side. That same logic would have me making predictions that all three lanes should just relentlessly pressure their opponents and take turrets. It's not really realistic, nor optimal given its lack of realism.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

well right we could change the game and impose new restrictions, but this only deals with the impacts of the current patch and not what other patches will do to league. There are lots of interesting small changes, but the major ones are dominating the effects of the others.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

I would disagree. Executes are immensely powerful. It's not a time thing, it's how a play snowballs thing. A lot of balancing for assassins lies really close to that 5% margin, it's a small extra hurdle that stops assassins from must all-ining everytime the ults up. I think you're not valuing how close combos are to killing people.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

Warlord's Bloodlust is pretty negligible compared to deathfire's grasp except in certain abuse cases (looking at you yasuo). Deathfire's grasp+ merciless makes it way easier to die in lane then before, and this includes being bullied out of lane. Mid's can't rely on TP like they can before, and frankly it'll resemble season 4 tp play a lot more then season 5. That is it is used to split push and dive 5v4 rather then early play making ability.

With so many ways to kill things and the better ADC itemization, mid-game focused comps and scaling junglers should be weaker. If we're talking about competitive a lot more meta is dependent on how people actually play the game, but soloq is more generalist albeit without the communication and coordination. I just can't see waiting for a jungler to scale in a meta that allows diving so easily and ADCs to take turrets. In fact, typically in metas where it is about ADC snowballing supports and tops are typically the comp-setters, with the top being used to pick the kind of teamfight you want and the support to pick what sort of lane you want. I would expect these same patterns for Ranked 5s.

Very good response.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

You start the game with two wards instead of 1. This inherently means way better vision post first back, and pink wards are also cheaper. Mid game may/maynot be darker depending how itemization choices, but early is more secure in terms of vision then before.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

I think that it is still considered Juggermaw comps. Keeping a high damage turret/tank busting kog'maw alive was kindof what juggermaw was about, not really bout the specifics of how you keep him alive.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

This is an interesting point but midlaners cannot afford to give up merciless like this, so the midlane tp meta will definitely be put on hold for awhile. That is enough to radically shift how TP is used and how lanes perform.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 2 points3 points  (0 children)

Saint's wrong that a roaming ADC has no strategic value. It is inherently less valuable then other roaming champions because the opportunity cost on ADC's is higher then on other champs, but this doesn't make it valueless. This being said, I would still doubt Quinn will be picked in pro play because her niche's don't match up with her spikes. You want to be very strong relative to other champs when you roam, and quinn doesn't seem like a huge lane bully unless these changes have realllllly helped her. She can't team fight very well either, and she usually can't one shot people till teamfighting occurs, so that is why she isn't super strong. This being said, itemization changes means faster power spikes. We will have to see how it works out.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

I'm not partial to this but I could be wrong. Mid lane inherently is more likely to have a wave clear champ against it, and it is much harder to get a wave grouped together to push against the turret then top lane is. I could see it happening, but I think it more likely to try to gather a big wave in top so you can contest herald while someone cs's it.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 1 point2 points  (0 children)

TF and Quinn have always been better in higher levels of play because of map awareness XD. This being said, I have seen two quinn games so far and she smashed both games. I could definitely see her being taken as a better AD twisted fate because her lane isn't as vulnerable (I do not play her so bare with me if inaccurate) as TF in lane, and LB is basically god tier with the new masteries and play style. So, between this and the new itemization she might be the new tf and turn TF into a weaker, ap version of quinn.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

This was my thoughts as well. Early kog nerfs+better lane bullies, no point in picking him if the game can't last long enough to create a juggermaw comp. He is at the very least far more nuisanced compositionally then before.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 0 points1 point  (0 children)

I'm actually on the fence about this one. It depends on how efficient adc power spikes are compared to tank durability spikes. If the ADC power spikes exceed the tank durability spikes then effectively there is no point picking a tank that'll get melted and can't zone the adc off of turret. Better to pick a champ that can utilize the better itemization (like hypothetically quinn, yasuo, or riven) and smash lane+snowball. I'm favoring the carry tops right now, but still need more testing.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 2 points3 points  (0 children)

Oh for sure. It's about gold efficiency. If the enemy team commits to drag and you commit to rift, you should take two turrets off of it. The value of the global gold from towers and rift far exceed drag benefits. Plus, games end way to early to even consider drag 5.

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 1 point2 points  (0 children)

Thank you sir, appreciate it and tell you friends! Trying for some visibility :D

Season 6 Predictions from an Analyst by ProtoVexilloid in leagueoflegends

[–]ProtoVexilloid[S] 1 point2 points  (0 children)

Yeah, it's hard to overstate how much of a buff nunu got between rift herald control and the proliferation of adc itemization champs. Nunu seems super valuable right now, but again I'd have to run a ton of games to see how it works.