Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

buster vs Kazuya 20–23 46.51%
buster vs Reina 20–14 58.82%
buster vs Jin 7–21 25.00%
buster vs King 12–12 50.00%
buster vs Lili 13–10 56.52%
buster vs Law 10–12 45.45%
buster vs Hwoarang 9–11 45.00%
buster vs Bryan 2–18 10.00%
buster vs Jack-8 5–15 25.00%
buster vs Steve 8–10 44.44%
buster vs Dragunov 8–9 47.06%
buster vs Xiaoyu 6–10 37.50%
buster vs Victor 8–7 53.33%
buster vs Nina 8–4 66.67%
buster vs Paul 6–5 54.55%
buster vs Asuka 6–5 54.55%
buster vs Devil Jin 7–4 63.64%
buster vs Eddy 4–7 36.36%
buster vs Yoshimitsu 6–4 60.00%
buster vs Azucena 3–7 30.00%
buster vs Leroy 4–4 50.00%
buster vs Leo 3–4 42.86%
buster vs Raven 2–5 28.57%
buster vs Lee 3–3 50.00%
buster vs Jun 2–4 33.33%
buster vs Claudio 2–3 40.00%
buster vs Shaheen 1–4 20.00%
buster vs Lars 3–1 75.00%
buster vs Kuma 2–1 66.67%
buster vs Panda 1–2 33.33%
buster vs Feng 0–2 0.00%
buster vs Alisa 2–0 100.00%
buster vs Zafina 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.