Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SaVe vs Kazuya 23–37 38.33%
SaVe vs Jin 14–35 28.57%
SaVe vs Reina 17–22 43.59%
SaVe vs Eddy 13–21 38.24%
SaVe vs Hwoarang 14–18 43.75%
SaVe vs King 12–19 38.71%
SaVe vs Bryan 10–17 37.04%
SaVe vs Yoshimitsu 9–16 36.00%
SaVe vs Jun 14–8 63.64%
SaVe vs Steve 11–10 52.38%
SaVe vs Law 13–7 65.00%
SaVe vs Azucena 8–12 40.00%
SaVe vs Victor 9–10 47.37%
SaVe vs Lili 7–11 38.89%
SaVe vs Asuka 7–10 41.18%
SaVe vs Lars 6–10 37.50%
SaVe vs Nina 9–7 56.25%
SaVe vs Leroy 8–7 53.33%
SaVe vs Paul 6–8 42.86%
SaVe vs Alisa 6–8 42.86%
SaVe vs Feng 5–5 50.00%
SaVe vs Lee 5–5 50.00%
SaVe vs Raven 2–8 20.00%
SaVe vs Devil Jin 1–7 12.50%
SaVe vs Dragunov 0–8 0.00%
SaVe vs Xiaoyu 5–2 71.43%
SaVe vs Shaheen 1–6 14.29%
SaVe vs Kuma 4–2 66.67%
SaVe vs Jack-8 4–1 80.00%
SaVe vs Leo 1–2 33.33%
SaVe vs Claudio 0–3 0.00%
SaVe vs Heihachi 0–3 0.00%
SaVe vs Zafina 0–2 0.00%

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.