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LoL: Durability Changes in Pro Play — An Early Statistical Review

How Patch 12.10 is shaking out in professional play

Published on: 23rd June, 2022

PATCH 12.10


All champions will receive the following Durability Base Stat Package.


BASE HEALTH +70


HEALTH GROWTH +14


ARMOR GROWTH +1.2


MAGIC RESIST GROWTH +0.8

Patch 12.10 could be summarised quite simply as “everyone is tankier”. The question is, how does this impact the professional scene? How do teams adapt to this new meta? Which Champions thrive? And, as deliberated by many: are games going to last longer?

In this weeks article we try (with limited data) to take an early stab at answering a few of these.

The Required Data Caveats

We can’t go any further without me first mentioning a major caveat: this is an early review! We’re here to get a general idea of the direction, but by no means do we have the data to support closing the case on this one.

The following is used:

  • The data is from the LEC, LCK, LPL & LCS
  • The comparison is between the Spring Season 2022 and the Summer Season 2022, which is the equivalent of “pre/post durability patch 12.10”. I’ll refer to these as “Spring” and “Summer” from now on.
  • Playoff games & MSI do not get included, since they tend to look statistically different to regular season games and it would unfairly skew the “pre-durability changes” part.
  • In total, there are 745 games from Spring & 112 so far in Summer. That’s not a lot of games — so any small differences in the averages will be highlighted as “not significant”, since there’s not enough evidence.

The Durability Changes: An Early Review

Let us first answer the most obvious question — are games longer?

No.

In fact, they’re ever so slightly shorter! The average game time in Spring was 32 minutes and 39 seconds, so far this split they have averaged 32 minutes and 23 seconds. Again, it’s low data and so we would say that statistically these are no different.

Well, how about the range of values we’re seeing?

lol-durability-statistics-distribution
Distribution of Game Times for the start of Summer 2022

Again, they follow a very similar distribution. Summer Split seems to have a large spike around the average but it isn’t profound enough to suggest a major change.

One point I anticipated was “Well, this is skewed by the LPL — no one told them about the durability changes!”.

So, I removed the LPL and yes — the average game length went up by 1-minute. However, that was consistent in both Summer & Spring. In other words, they aren’t impacting the variance of pre/post durability changes, just bringing averages down across the board.

There’s a few other arguments that are harder to answer, however I’ll note them anyway:

  • Is Summer & Spring the same? Or do teams play with a different mindset given the Worlds implications?
  • Is Week 1 the same as Week 8? Or does the finish line change playstyles?
  • Does thinking game times are longer change decision making? For instance, a team could think scaling is a free win and draft accordingly and then get rolled in 20 minutes because they have no early game.

Early Game Action

So, if we can’t see a difference in game length — did anything change?

Yes!

lol-durability-statistics
High-Level Statistics for Summer vs. Spring 2022

Although the initial data for game length seems to suggest no notable difference, other aspects of the game have been impacted. For instance, total kills are down each game from 12.7 to 11.6. This seems to have impacted pre-15 minutes especially where we’ve gone from almost 3 a game to 2.2.

Personally, this is something that I’ve noticed in the viewing experience. Games do feel slower ramping up. Whether that will impact the audience size for the season remains an unanswered (and difficult) question.

The most significant of all the changes is the total damage dealt per kill. This has risen dramatically from 4,878 to 5,760. An almost 20% rise.

I mean, obviously — it was a durability patch that increased everyone’s base health by c.10–15% and their defence growth by c.15–20%. Of course it takes bigger damage numbers to take down bigger health numbers. It is comforting to see it in the data, though.

There’s also the objective statistics:

lol-durability-objectives-statistics
Objective Statistics for Summer vs. Spring 2022

Baron & Dragons are basically unchanged. However, 0.6 less turret plates each game is interesting. Vedius made this point on the first episode of Euphoria:

Turrets do more damage x Players are tankier = considerably harder to dive.

If less people are dying to dives (which marries up with the pre-15 kill data) then there’s less opportunity to “free farm” the plates. Which again, logically makes sense and is supported with the decrease seen in plate numbers.

How could it impact professional play?

Last week I released my first champion tier-list. Outside of putting Yuumi in D-tier then watching her go 3–0 in the LEC, everything seems to be coming in roughly alongside the model predictions (I’ll release a full review once all regions finish with 12.11).

The question is, with this new information — how do our assumptions about the upcoming split change?

We have three new factors to consider:

  • Games don’t actually seem to last longer.
  • There’s less action early (pre-15 Kills & Plates both down).
  • Everyone is definitely harder to kill (100% confirmed, not that it wasn’t before!).

In general, teams that exploit chaotic early games may struggle more than before. If there’s a side who is known for diving top level 3 and snowballing off that, then unless they adapt fast they may struggle. Controlled and well executed mid-games seem to be the way forward. Particularly teams that are good at picking up turrets/plates without relying on dives (i.e. strong rotations/efficient cross map decision making).

From a draft perspective, it might not be as “scale to win” as initially thought. It’s just that it’s easier to get through bad laning phases. However, just because a Champion struggles pre-8 doesn’t necessarily mean they scale well late — plenty of them spike hardest in the mid-game and it could be these that benefit the most.

To Conclude

With the limited data at our disposal, our conclusion can only be equally limited. There’s good data to suggest that action is down early doors. If games are going to last longer — it’s not been seen yet.

So, to pad the conclusion I’ll give an opinion: change is good regardless of whether the changes are good. What I mean is, I’d rather have an imbalanced and imperfect game that regularly changes over a perfectly balanced and stale one. For me, the best part about esports is watching teams adapt to new and evolving game states. On that note, please stop drafting Viego.


Thanks for Reading!

You got to the end of the article! My name is Jack J and I’m a professional Data Scientist applying AI to competitive gaming & esports. I’m the founder of AI & Esports start-up iTero.GG and the analytics site jung.gg. You can follow me on Twitter, join the iTero Discord or drop me an e-mail at jack@itero.gg. See you at the next one.

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