Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

buff vs King 65–85 43.33%
buff vs Heihachi 49–93 34.51%
buff vs Dragunov 52–85 37.96%
buff vs Jin 46–85 35.11%
buff vs Kazuya 51–77 39.84%
buff vs Hwoarang 43–84 33.86%
buff vs Reina 51–64 44.35%
buff vs Victor 27–81 25.00%
buff vs Asuka 46–50 47.92%
buff vs Lili 33–59 35.87%
buff vs Bryan 39–51 43.33%
buff vs Paul 33–49 40.24%
buff vs Jun 22–50 30.56%
buff vs Yoshimitsu 23–43 34.85%
buff vs Steve 23–43 34.85%
buff vs Law 37–27 57.81%
buff vs Nina 26–32 44.83%
buff vs Devil Jin 18–35 33.96%
buff vs Lars 14–36 28.00%
buff vs Lidia 24–23 51.06%
buff vs Eddy 20–23 46.51%
buff vs Kuma 20–22 47.62%
buff vs Feng 12–28 30.00%
buff vs Alisa 14–26 35.00%
buff vs Xiaoyu 13–26 33.33%
buff vs Azucena 13–26 33.33%
buff vs Jack-8 16–20 44.44%
buff vs Claudio 12–18 40.00%
buff vs Lee 15–15 50.00%
buff vs Leo 11–18 37.93%
buff vs Clive 16–13 55.17%
buff vs Raven 6–18 25.00%
buff vs Leroy 3–17 15.00%
buff vs Zafina 8–9 47.06%
buff vs Shaheen 2–9 18.18%
buff vs Panda 0–5 0.00%
buff vs Anna 2–2 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.