Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MTX Enjoyer vs Jin 264–52 83.54%
MTX Enjoyer vs Bryan 226–63 78.20%
MTX Enjoyer vs Hwoarang 218–42 83.85%
MTX Enjoyer vs Kazuya 205–39 84.02%
MTX Enjoyer vs Paul 204–31 86.81%
MTX Enjoyer vs Steve 201–23 89.73%
MTX Enjoyer vs Yoshimitsu 173–28 86.07%
MTX Enjoyer vs Lee 170–31 84.58%
MTX Enjoyer vs Law 166–32 83.84%
MTX Enjoyer vs King 178–19 90.36%
MTX Enjoyer vs Jun 155–34 82.01%
MTX Enjoyer vs Dragunov 154–20 88.51%
MTX Enjoyer vs Nina 148–24 86.05%
MTX Enjoyer vs Lidia 124–47 72.51%
MTX Enjoyer vs Victor 141–27 83.93%
MTX Enjoyer vs Reina 136–26 83.95%
MTX Enjoyer vs Leo 134–15 89.93%
MTX Enjoyer vs Devil Jin 123–25 83.11%
MTX Enjoyer vs Lili 124–22 84.93%
MTX Enjoyer vs Eddy 121–25 82.88%
MTX Enjoyer vs Lars 125–19 86.81%
MTX Enjoyer vs Azucena 119–8 93.70%
MTX Enjoyer vs Asuka 110–16 87.30%
MTX Enjoyer vs Kuma 100–24 80.65%
MTX Enjoyer vs Heihachi 89–19 82.41%
MTX Enjoyer vs Xiaoyu 91–16 85.05%
MTX Enjoyer vs Feng 85–18 82.52%
MTX Enjoyer vs Claudio 83–19 81.37%
MTX Enjoyer vs Raven 80–18 81.63%
MTX Enjoyer vs Zafina 81–15 84.38%
MTX Enjoyer vs Alisa 82–11 88.17%
MTX Enjoyer vs Jack-8 77–9 89.53%
MTX Enjoyer vs Leroy 69–4 94.52%
MTX Enjoyer vs Shaheen 39–8 82.98%
MTX Enjoyer vs Clive 35–10 77.78%
MTX Enjoyer vs Panda 28–2 93.33%

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.