Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

im sorry
sylxs
chaewon!!!
im sorry vs Bryan 136–156 46.58%
im sorry vs Jin 144–135 51.61%
im sorry vs Kazuya 182–94 65.94%
im sorry vs Hwoarang 132–108 55.00%
im sorry vs King 116–113 50.66%
im sorry vs Dragunov 102–108 48.57%
im sorry vs Steve 107–92 53.77%
im sorry vs Yoshimitsu 89–95 48.37%
im sorry vs Reina 129–55 70.11%
im sorry vs Lidia 87–91 48.88%
im sorry vs Law 87–81 51.79%
im sorry vs Lili 78–73 51.66%
im sorry vs Paul 52–85 37.96%
im sorry vs Lee 85–52 62.04%
im sorry vs Victor 88–47 65.19%
im sorry vs Lars 66–67 49.62%
im sorry vs Devil Jin 54–66 45.00%
im sorry vs Heihachi 58–62 48.33%
im sorry vs Jun 73–40 64.60%
im sorry vs Feng 60–47 56.07%
im sorry vs Raven 50–54 48.08%
im sorry vs Azucena 54–49 52.43%
im sorry vs Claudio 38–57 40.00%
im sorry vs Xiaoyu 36–58 38.30%
im sorry vs Leo 41–52 44.09%
im sorry vs Asuka 49–39 55.68%
im sorry vs Eddy 41–43 48.81%
im sorry vs Nina 35–39 47.30%
im sorry vs Shaheen 27–44 38.03%
im sorry vs Alisa 30–39 43.48%
im sorry vs Jack-8 34–29 53.97%
im sorry vs Kuma 22–27 44.90%
im sorry vs Leroy 19–25 43.18%
im sorry vs Zafina 17–23 42.50%
im sorry vs Clive 3–13 18.75%
im sorry vs Panda 6–6 50.00%

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.