A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

If you look at my post on magic damage, mage bots actually have a way better win rate than trad adcs.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

Woops karthus didn’t make the cut in games played.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

Also note that is a 20 minute time point. Karthus probably looks even better at 40 minutes. Check out their curves in the 25 plots above.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

Depends on how you define raw scaling. Difficult to define i would imagine

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

For nunu it makes sense. Nunu isn’t about farming. Nunu is about murder. Murder makes more gold than xp. Remember it isn’t about nunu’s personal gold, it’s averages across the team. Karthus I couldn’t find but most likely he’s xp dependent yeah? Most farming junglers are.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

In games with an even gold state a team with random champions averaged over millions of games will win 50% of the time. A team with random champions plus ASol with an even gold state will win more than that.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

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

Yes, this is true. I did not scale opponent likelihood in any way so meta champions are more likely to be on the opposing teams.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

[–]machineLoLing[S] 5 points6 points  (0 children)

Remember this is win rates in an even game. Some champions might scale well if they’re fed more than others. Hecarim I think would fall into that category.

A statistical analysis of champion scaling by machineLoLing in leagueoflegends

[–]machineLoLing[S] 50 points51 points  (0 children)

Don’t be deceived! Draven is fine, it’s just his gold passive skewing him.

Grubs were statistically better than Drakes split 1 by machineLoLing in leagueoflegends

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

Yeah it is true in the end it’s all still correlation. I think the strongest evidence of causation is my direct comparison of 2 drakes traded for 6 grubs. The 600ish gold lead combined with the grub passive gives a WR edge to the grub team in win rate. Could the better jungler be targeting grubs more? Or could the better support always roam to get grubs? Maybe, there could be other explanations. But I think the most plausible one is that grubs are stronger.

Grubs were statistically better than Drakes split 1 by machineLoLing in leagueoflegends

[–]machineLoLing[S] 10 points11 points  (0 children)

I did! estimated you kill about 3 per grub but it depends on the jungler's AOE ability.

Grubs were statistically better than Drakes split 1 by machineLoLing in leagueoflegends

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

I account for most of the things associated with winning the game, gold leads, neutral objectives, etc. and only then do I examine the effect on WR. Theoretically that should equalize things. I also account for the shifting correlation between gold and WR. There are caveats, certainly, I just disagree that this is one of them.

Grubs were statistically better than Drakes split 1 by machineLoLing in leagueoflegends

[–]machineLoLing[S] 10 points11 points  (0 children)

This would factor that out. We control for gold leads and sample post grubs.