Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

between vs Kazuya 219–317 40.86%
between vs Reina 272–237 53.44%
between vs King 195–226 46.32%
between vs Jin 180–220 45.00%
between vs Dragunov 149–219 40.49%
between vs Asuka 152–201 43.06%
between vs Steve 140–197 41.54%
between vs Lili 143–166 46.28%
between vs Bryan 147–161 47.73%
between vs Paul 113–192 37.05%
between vs Armor King 90–166 35.16%
between vs Clive 88–146 37.61%
between vs Hwoarang 80–145 35.56%
between vs Jun 86–131–1 39.63%
between vs Fahkumram 71–135 34.47%
between vs Heihachi 78–124 38.61%
between vs Victor 78–120 39.39%
between vs Miary Zo 75–115 39.47%
between vs Law 72–117 38.10%
between vs Yoshimitsu 79–98 44.63%
between vs Devil Jin 75–86 46.58%
between vs Alisa 64–95 40.25%
between vs Nina 61–97 38.61%
between vs Lidia 65–87 42.76%
between vs Claudio 41–94 30.37%
between vs Xiaoyu 53–80 39.85%
between vs Lars 41–84 32.80%
between vs Leo 48–76 38.71%
between vs Eddy 58–62 48.33%
between vs Azucena 49–68 41.88%
between vs Feng 34–75 31.19%
between vs Jack-8 35–65 35.00%
between vs Leroy 47–52 47.47%
between vs Anna 45–53 45.92%
between vs Kuma 31–50 38.27%
between vs Lee 27–53 33.75%
between vs Raven 31–47 39.74%
between vs Zafina 38–35 52.05%
between vs Shaheen 20–37 35.09%
between vs Panda 7–10 41.18%

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.