Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

boon vs Law 18–4 81.82%
boon vs Jin 14–6 70.00%
boon vs King 15–3 83.33%
boon vs Reina 16–2 88.89%
boon vs Hwoarang 7–5 58.33%
boon vs Xiaoyu 9–2 81.82%
boon vs Asuka 6–4 60.00%
boon vs Kazuya 8–1 88.89%
boon vs Steve 6–3 66.67%
boon vs Nina 6–3 66.67%
boon vs Kuma 6–3 66.67%
boon vs Azucena 4–5 44.44%
boon vs Paul 6–2 75.00%
boon vs Jack-8 5–3 62.50%
boon vs Lee 4–4 50.00%
boon vs Victor 4–4 50.00%
boon vs Lidia 4–4 50.00%
boon vs Yoshimitsu 4–2 66.67%
boon vs Feng 2–4 33.33%
boon vs Bryan 5–0 100.00%
boon vs Devil Jin 4–1 80.00%
boon vs Lili 5–0 100.00%
boon vs Dragunov 4–1 80.00%
boon vs Shaheen 4–1 80.00%
boon vs Eddy 1–4 20.00%
boon vs Heihachi 3–2 60.00%
boon vs Alisa 3–1 75.00%
boon vs Raven 4–0 100.00%
boon vs Lars 2–1 66.67%
boon vs Panda 2–1 66.67%
boon vs Leroy 3–0 100.00%
boon vs Jun 2–1 66.67%
boon vs Leo 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.