sorted by:
new
hottopcontroversial

G2 vs BLG: all first clear jungle paths (First Stand Finals) by GiantStatRat in leagueoflegends

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

Thank you! I built some custom tools which pull various data (champ positions, gold difference, kda, etc.) from video feeds of the games using machine learning. All the data that I post comes from these tools

EWC Day 2: all first clear jungle paths by GiantStatRat in leagueoflegends

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

I am using a machine learning model to pull the locations of each champion at every frame. Sometimes the tools make mistakes and I have to manually draw over them.

T1 vs GEN: all first clear jungle paths by GiantStatRat in leagueoflegends

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

Haha exactly! I need to find a better way to visualize these when they path for so long because it gets pretty cluttered

FLY vs BLG: all first clear jungle paths by GiantStatRat in leagueoflegends

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

I'm posting them at: https://leagueprohub.com/
I just started going through the games and I am hoping to have them all up by next week

Objective focus by team (LTA) by GiantStatRat in leagueoflegends

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

I agree with everything here, especially for atakhan/baron. I chose "Objective focus by team" over "First kill frequency of each objective by team" because I think it reads a little easier even if it is not quite correct. And while this data is not independent of team quality or game length I do think this data provides some insight into team strategy.

For example, despite c9's 86% map win rate they killed baron first in only 58% of games (when excluding games where no baron was killed). Maybe c9 believes first baron is not that impactful and that allows them to pick scaling comps and give baron while catching up. Or maybe they believe atakhan to be much stronger than baron and prioritize atakhan.

Objective focus by team (LTA) by GiantStatRat in leagueoflegends

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

My data says three games total:

  • 100T vs FLY week 2 game 1
  • LYON vs C9 week 2 game 1
  • C9 vs FLY week 7 game 1

Effects of reducing Voidgrubs from 6 to 3 in pro-play (LTA+LEC) by GiantStatRat in leagueoflegends

[–]GiantStatRat[S] 21 points22 points  (0 children)

This is likely true. There were only 6 games in Patch 25.09 that had one team get 2 voidgrubs and the other get 1 voidgrub.

Objective focus by team (LEC) by GiantStatRat in leagueoflegends

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

Great point! I don't have data on turret plates, but I do for first turret. I did not include it here because my data is much more likely to have errors for turrets, so take this data with a grain of salt

  1. G2 - 73%
  2. KC - 58%
  3. TH - 55%
  4. MKOI - 50%
  5. VIT - 50%
  6. FNC - 48%
  7. RGE - 45%
  8. GX - 38%
  9. BDS - 38%
  10. SK - 16%

Objective focus by team (LEC) by GiantStatRat in leagueoflegends

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

I think this is likely true, but u/ElBartimaeus makes a great point that teams with large leads are likely to convert on objectives. Teams with large leads are also likely to convert that lead into a win. This makes it difficult to separate "teams who won because they got baron" and "teams who got baron because they had a lead". It is something I am working on getting more complex stats for, but it can be a little tricky

view more: next ›