Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

user vs King 25–38 39.68%
user vs Reina 32–30 51.61%
user vs Hwoarang 22–37 37.29%
user vs Kazuya 30–28 51.72%
user vs Dragunov 24–28 46.15%
user vs Jin 27–23 54.00%
user vs Bryan 15–32 31.91%
user vs Victor 16–22 42.11%
user vs Paul 24–13 64.86%
user vs Jun 18–15 54.55%
user vs Lidia 14–18 43.75%
user vs Yoshimitsu 13–15 46.43%
user vs Asuka 15–13 53.57%
user vs Lili 18–8 69.23%
user vs Heihachi 16–10 61.54%
user vs Law 13–10 56.52%
user vs Clive 11–12 47.83%
user vs Azucena 5–16 23.81%
user vs Xiaoyu 4–13 23.53%
user vs Lars 9–6 60.00%
user vs Claudio 8–7 53.33%
user vs Feng 6–8 42.86%
user vs Steve 6–7 46.15%
user vs Devil Jin 5–8 38.46%
user vs Jack-8 4–8 33.33%
user vs Nina 6–6 50.00%
user vs Eddy 4–8 33.33%
user vs Alisa 5–5 50.00%
user vs Kuma 3–7 30.00%
user vs Leroy 6–4 60.00%
user vs Zafina 2–6 25.00%
user vs Leo 2–5 28.57%
user vs Lee 4–3 57.14%
user vs Raven 0–4 0.00%
user vs Shaheen 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.