Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

bloated_cheese vs King 31–28 52.54%
bloated_cheese vs Kazuya 23–21 52.27%
bloated_cheese vs Clive 23–17 57.50%
bloated_cheese vs Dragunov 17–18 48.57%
bloated_cheese vs Reina 20–15 57.14%
bloated_cheese vs Paul 13–20 39.39%
bloated_cheese vs Jin 13–14 48.15%
bloated_cheese vs Hwoarang 19–7 73.08%
bloated_cheese vs Nina 15–8 65.22%
bloated_cheese vs Yoshimitsu 11–10 52.38%
bloated_cheese vs Law 6–13 31.58%
bloated_cheese vs Bryan 9–6 60.00%
bloated_cheese vs Steve 9–6 60.00%
bloated_cheese vs Lili 7–8 46.67%
bloated_cheese vs Victor 8–7 53.33%
bloated_cheese vs Heihachi 5–9 35.71%
bloated_cheese vs Asuka 7–6 53.85%
bloated_cheese vs Alisa 7–6 53.85%
bloated_cheese vs Xiaoyu 9–3 75.00%
bloated_cheese vs Leo 6–5 54.55%
bloated_cheese vs Azucena 7–4 63.64%
bloated_cheese vs Jun 3–7 30.00%
bloated_cheese vs Lars 6–3 66.67%
bloated_cheese vs Claudio 4–4 50.00%
bloated_cheese vs Eddy 4–4 50.00%
bloated_cheese vs Jack-8 3–4 42.86%
bloated_cheese vs Devil Jin 2–5 28.57%
bloated_cheese vs Anna 4–3 57.14%
bloated_cheese vs Raven 1–4 20.00%
bloated_cheese vs Lidia 3–2 60.00%
bloated_cheese vs Feng 0–4 0.00%
bloated_cheese vs Lee 4–0 100.00%
bloated_cheese vs Kuma 2–2 50.00%
bloated_cheese vs Shaheen 0–2 0.00%
bloated_cheese vs Leroy 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.