Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NumSevenSeven vs Kazuya 58–87 40.00%
NumSevenSeven vs Jin 53–67 44.17%
NumSevenSeven vs Bryan 49–57 46.23%
NumSevenSeven vs Reina 54–43 55.67%
NumSevenSeven vs King 40–39 50.63%
NumSevenSeven vs Hwoarang 39–31 55.71%
NumSevenSeven vs Steve 31–37 45.59%
NumSevenSeven vs Dragunov 20–46 30.30%
NumSevenSeven vs Paul 25–38 39.68%
NumSevenSeven vs Lidia 24–38 38.71%
NumSevenSeven vs Eddy 10–49 16.95%
NumSevenSeven vs Yoshimitsu 17–31 35.42%
NumSevenSeven vs Lili 19–26 42.22%
NumSevenSeven vs Law 18–26 40.91%
NumSevenSeven vs Asuka 12–27 30.77%
NumSevenSeven vs Lee 20–16 55.56%
NumSevenSeven vs Azucena 16–19 45.71%
NumSevenSeven vs Feng 16–16 50.00%
NumSevenSeven vs Jun 12–19 38.71%
NumSevenSeven vs Lars 10–20 33.33%
NumSevenSeven vs Nina 15–14 51.72%
NumSevenSeven vs Xiaoyu 11–16 40.74%
NumSevenSeven vs Devil Jin 5–22 18.52%
NumSevenSeven vs Alisa 6–21 22.22%
NumSevenSeven vs Leroy 13–12 52.00%
NumSevenSeven vs Victor 8–17 32.00%
NumSevenSeven vs Raven 13–11 54.17%
NumSevenSeven vs Claudio 6–16 27.27%
NumSevenSeven vs Jack-8 5–9 35.71%
NumSevenSeven vs Leo 5–4 55.56%
NumSevenSeven vs Shaheen 6–3 66.67%
NumSevenSeven vs Zafina 5–4 55.56%
NumSevenSeven vs Heihachi 2–5 28.57%
NumSevenSeven vs Kuma 0–4 0.00%
NumSevenSeven vs Panda 0–1 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.