Author: MachineLoling
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Champion Pool Designer
by Joseph Zinski
You asked for it, so here it is. We are going to see how healthy you pool is. How many champions you counter and synergize with. How blindable it is. How you can make it better. How you can build one from scratch. https://pooldesigner.machineloling.com Let’s go over what you’ll find there. The Sidebar Here you…
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The Definitive Season 16 Champion Class Encyclopedia
by Joseph Zinski
It’s been a long time coming, but we are revisiting our ecosystem posts from a year+ back, but this time we are incorporating more data, using better techniques, doing all roles, and I think generally being more respectful of the nuance of this challenge. What are classes? At a fundamental level, we want to know…
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Synergy Visualizer
by Joseph Zinski
https://trio-explorer-epm3pwevznw9nf7rw3krvj.streamlit.app Back with a quick offering! I like the concept draftgap has, taking the normalized synergy deltas from lolalytics and predicting what champs are best based on synergies and match-ups. I play a lot of comp and I wanted a way to effectively visualize my options a couple picks in advance (namely picks 1-3). I…
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Grubs Split 2: Mission Failed
by Joseph Zinski
This is just a short post to update on Split 2’s grub vs drake balance. After split 1, grubs were changed to spawn only once (3) at 8 minutes while dragon spawn would be at 6 minutes. The goal was to discourage trading. The grub passive was also modified to spawn only 1 voidlet instead…
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Don’t worry, we scale: a vignette on champion scaling
by Joseph Zinski
We scale bro. My champ has a mid game power spike. A mid game power trough. You’ve looked on lolalytics. You’ve seen what their win rate is in games of a given length. It uhh… kinda sorta shows some trends. But can we do it better? With the data I scraped from split 1? What…
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Real Objective Values First Split 2025: Grubs or Drakes?
by Joseph Zinski
League is a game of decisions. Any stats site will give you metrics on win rates for dragon acquisition, grub slaying, baron taking, etc. BUT they’re all useless stats for us because the team who is winning is usually the one to get the stuff. So here, I will approximate for you the values of…
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Magic Damage: How I learned to stop griefing and love mage bot
by Joseph Zinski
Preamble The team magic/physical damage ratio. You probably have an opinion on it. Maybe you think you need a 50/50 split. Maybe you think you only need that if the enemy has tanks. Maybe you think you can have 2 AD solo lanes with an AP jungler and AD carry. But tell me, do you…
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Blindability
by Joseph Zinski
Preamble Hey all, been a while! I want to do a quick and dirty post on blind picking champions to follow up on the excellent Broken By Concept Podcast on ADCs that was just released. Their talk about blinding champions got me thinking and made me want to put some data behind it. As a…
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Solo In-Lane Match-Ups
by Joseph Zinski
Role Contribution to Class Classes Derived From Match-Ups Ok real talk. I didn’t ONLY choose to start with Support and Adcs because I’m a Support Main. I started there because I observed (by rolling around i the data) that those classes are the most stable across all positional interactions. However, I want to take a…
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The Bot Lane Ecosystem Part 2
by Joseph Zinski
8/6/2024 by Joseph ZinskiEdited on 8/6/2024 for red/green colorblind friendly colors In Part 1 we looked at Support/ADC match-ups and derived classes from those values. This week we will look at Support+ADC synergies, aka the win rate above expected when an ADC and Support play together. We will again start with an unorganized grid of…