Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Stephen vs Kazuya 349–289 54.70%
Stephen vs Jin 272–306 47.06%
Stephen vs Hwoarang 250–258 49.21%
Stephen vs King 209–243 46.24%
Stephen vs Bryan 182–221 45.16%
Stephen vs Law 180–198 47.62%
Stephen vs Steve 164–187 46.72%
Stephen vs Reina 123–196 38.56%
Stephen vs Paul 149–163 47.76%
Stephen vs Yoshimitsu 137–139 49.64%
Stephen vs Lili 119–154 43.59%
Stephen vs Dragunov 106–122 46.49%
Stephen vs Eddy 110–113 49.33%
Stephen vs Devil Jin 93–122 43.26%
Stephen vs Heihachi 102–113 47.44%
Stephen vs Asuka 100–93 51.81%
Stephen vs Lee 79–107 42.47%
Stephen vs Lars 78–106 42.39%
Stephen vs Xiaoyu 89–76 53.94%
Stephen vs Feng 67–98 40.61%
Stephen vs Jun 71–91 43.83%
Stephen vs Nina 86–74 53.75%
Stephen vs Alisa 68–88 43.59%
Stephen vs Victor 55–101 35.26%
Stephen vs Azucena 65–84 43.62%
Stephen vs Fahkumram 52–75 40.94%
Stephen vs Armor King 44–80 35.48%
Stephen vs Lidia 31–68 31.31%
Stephen vs Jack-8 46–52 46.94%
Stephen vs Leroy 43–45 48.86%
Stephen vs Claudio 24–63 27.59%
Stephen vs Leo 29–56 34.12%
Stephen vs Raven 38–46 45.24%
Stephen vs Clive 25–39 39.06%
Stephen vs Kuma 26–32 44.83%
Stephen vs Zafina 25–30 45.45%
Stephen vs Anna 24–18 57.14%
Stephen vs Shaheen 14–23 37.84%
Stephen vs Panda 15–16 48.39%
Stephen vs Miary Zo 10–12 45.45%

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.