Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

retired noob vs Dragunov 87–52 62.59%
retired noob vs Bryan 84–38 68.85%
retired noob vs King 72–42 63.16%
retired noob vs Steve 59–44 57.28%
retired noob vs Reina 57–40 58.76%
retired noob vs Kazuya 66–28 70.21%
retired noob vs Feng 53–40 56.99%
retired noob vs Paul 56–29 65.88%
retired noob vs Jin 50–35 58.82%
retired noob vs Lee 50–28 64.10%
retired noob vs Law 53–24 68.83%
retired noob vs Hwoarang 42–32 56.76%
retired noob vs Yoshimitsu 45–26 63.38%
retired noob vs Lars 46–24 65.71%
retired noob vs Lili 41–23 64.06%
retired noob vs Shaheen 42–21 66.67%
retired noob vs Xiaoyu 36–25 59.02%
retired noob vs Heihachi 34–25 57.63%
retired noob vs Jun 30–27 52.63%
retired noob vs Nina 23–27 46.00%
retired noob vs Raven 27–22 55.10%
retired noob vs Devil Jin 30–14 68.18%
retired noob vs Jack-8 27–16 62.79%
retired noob vs Alisa 27–15 64.29%
retired noob vs Lidia 19–21 47.50%
retired noob vs Asuka 25–14 64.10%
retired noob vs Eddy 21–18 53.85%
retired noob vs Kuma 20–15 57.14%
retired noob vs Victor 12–14 46.15%
retired noob vs Claudio 16–8 66.67%
retired noob vs Azucena 11–12 47.83%
retired noob vs Leo 13–6 68.42%
retired noob vs Zafina 8–7 53.33%
retired noob vs Leroy 8–7 53.33%
retired noob vs Clive 1–14 6.67%
retired noob vs Panda 8–5 61.54%

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.