Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MrAligen vs Kazuya 91–113 44.61%
MrAligen vs King 84–90 48.28%
MrAligen vs Jin 64–80 44.44%
MrAligen vs Heihachi 71–60 54.20%
MrAligen vs Reina 76–52 59.38%
MrAligen vs Bryan 44–82 34.92%
MrAligen vs Armor King 49–72 40.50%
MrAligen vs Steve 55–50 52.38%
MrAligen vs Hwoarang 38–55 40.86%
MrAligen vs Lili 35–52 40.23%
MrAligen vs Dragunov 36–50 41.86%
MrAligen vs Law 39–44 46.99%
MrAligen vs Yoshimitsu 31–34 47.69%
MrAligen vs Devil Jin 27–33 45.00%
MrAligen vs Lee 24–34 41.38%
MrAligen vs Azucena 22–32 40.74%
MrAligen vs Asuka 19–28 40.43%
MrAligen vs Victor 27–19 58.70%
MrAligen vs Paul 22–23 48.89%
MrAligen vs Jun 25–20 55.56%
MrAligen vs Clive 21–23 47.73%
MrAligen vs Lidia 31–12 72.09%
MrAligen vs Feng 18–24 42.86%
MrAligen vs Nina 23–18 56.10%
MrAligen vs Fahkumram 18–20 47.37%
MrAligen vs Leroy 17–19 47.22%
MrAligen vs Claudio 13–22 37.14%
MrAligen vs Anna 10–24 29.41%
MrAligen vs Leo 13–20 39.39%
MrAligen vs Eddy 13–15 46.43%
MrAligen vs Xiaoyu 7–19 26.92%
MrAligen vs Lars 9–17 34.62%
MrAligen vs Alisa 13–13 50.00%
MrAligen vs Zafina 8–17 32.00%
MrAligen vs Raven 14–9 60.87%
MrAligen vs Kuma 6–12 33.33%
MrAligen vs Jack-8 8–8 50.00%
MrAligen vs Shaheen 4–3 57.14%
MrAligen vs Panda 4–2 66.67%
MrAligen vs Miary Zo 2–1 66.67%

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.