Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

nines vs Reina 23–32 41.82%
nines vs Kazuya 31–22 58.49%
nines vs Lili 20–28 41.67%
nines vs Hwoarang 20–27 42.55%
nines vs King 14–26 35.00%
nines vs Jin 10–30 25.00%
nines vs Lidia 16–21 43.24%
nines vs Asuka 18–13 58.06%
nines vs Law 13–15 46.43%
nines vs Dragunov 13–12 52.00%
nines vs Lars 10–15 40.00%
nines vs Azucena 15–10 60.00%
nines vs Yoshimitsu 10–14 41.67%
nines vs Steve 12–12 50.00%
nines vs Leroy 12–11 52.17%
nines vs Paul 8–13 38.10%
nines vs Nina 15–6 71.43%
nines vs Eddy 9–12 42.86%
nines vs Xiaoyu 5–11 31.25%
nines vs Bryan 5–11 31.25%
nines vs Alisa 7–9 43.75%
nines vs Jun 7–9 43.75%
nines vs Victor 6–9 40.00%
nines vs Feng 7–7 50.00%
nines vs Lee 7–7 50.00%
nines vs Raven 7–4 63.64%
nines vs Devil Jin 5–5 50.00%
nines vs Zafina 3–7 30.00%
nines vs Leo 3–5 37.50%
nines vs Claudio 3–4 42.86%
nines vs Shaheen 4–3 57.14%
nines vs Kuma 3–4 42.86%
nines vs Jack-8 0–3 0.00%
nines vs Heihachi 0–2 0.00%
nines 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.