Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
LUAY°17

Ratings

LUAY°17 vs Kazuya 345–388–1 47.07%
LUAY°17 vs Jin 267–365 42.25%
LUAY°17 vs King 195–263 42.58%
LUAY°17 vs Dragunov 165–236 41.15%
LUAY°17 vs Bryan 165–221 42.75%
LUAY°17 vs Steve 150–195 43.48%
LUAY°17 vs Reina 129–202 38.97%
LUAY°17 vs Heihachi 148–155 48.84%
LUAY°17 vs Law 114–168 40.43%
LUAY°17 vs Hwoarang 100–161 38.31%
LUAY°17 vs Devil Jin 100–145 40.82%
LUAY°17 vs Yoshimitsu 71–146 32.72%
LUAY°17 vs Paul 75–139 35.05%
LUAY°17 vs Lili 60–152 28.30%
LUAY°17 vs Lee 79–96 45.14%
LUAY°17 vs Victor 91–76 54.49%
LUAY°17 vs Feng 40–102 28.17%
LUAY°17 vs Asuka 53–88 37.59%
LUAY°17 vs Lars 52–81 39.10%
LUAY°17 vs Nina 58–74 43.94%
LUAY°17 vs Jun 41–82 33.33%
LUAY°17 vs Alisa 36–78 31.58%
LUAY°17 vs Azucena 40–74 35.09%
LUAY°17 vs Claudio 32–75 29.91%
LUAY°17 vs Lidia 39–63 38.24%
LUAY°17 vs Clive 40–61 39.60%
LUAY°17 vs Xiaoyu 29–62 31.87%
LUAY°17 vs Eddy 36–55 39.56%
LUAY°17 vs Armor King 28–53 34.57%
LUAY°17 vs Leo 24–38 38.71%
LUAY°17 vs Jack-8 21–34 38.18%
LUAY°17 vs Zafina 20–34 37.04%
LUAY°17 vs Kuma 22–31 41.51%
LUAY°17 vs Raven 16–32 33.33%
LUAY°17 vs Leroy 17–26 39.53%
LUAY°17 vs Shaheen 12–26 31.58%
LUAY°17 vs Anna 16–20 44.44%
LUAY°17 vs Fahkumram 10–19 34.48%
LUAY°17 vs Miary Zo 5–5 50.00%
LUAY°17 vs Panda 2–5 28.57%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.