Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KIM82M vs Kazuya 12–25 32.43%
KIM82M vs Bryan 16–12 57.14%
KIM82M vs Paul 8–11 42.11%
KIM82M vs King 7–12 36.84%
KIM82M vs Yoshimitsu 13–6 68.42%
KIM82M vs Hwoarang 9–8 52.94%
KIM82M vs Jin 8–8 50.00%
KIM82M vs Steve 10–6 62.50%
KIM82M vs Heihachi 8–8 50.00%
KIM82M vs Alisa 10–5 66.67%
KIM82M vs Reina 7–8 46.67%
KIM82M vs Lee 7–6 53.85%
KIM82M vs Nina 8–4 66.67%
KIM82M vs Law 6–5 54.55%
KIM82M vs Dragunov 3–7 30.00%
KIM82M vs Leroy 3–6 33.33%
KIM82M vs Asuka 4–4 50.00%
KIM82M vs Leo 5–3 62.50%
KIM82M vs Devil Jin 3–4 42.86%
KIM82M vs Jun 5–2 71.43%
KIM82M vs Feng 6–0 100.00%
KIM82M vs Azucena 3–3 50.00%
KIM82M vs Victor 6–0 100.00%
KIM82M vs Lili 0–4 0.00%
KIM82M vs Eddy 3–1 75.00%
KIM82M vs Xiaoyu 2–1 66.67%
KIM82M vs Jack-8 3–0 100.00%
KIM82M vs Lars 1–2 33.33%
KIM82M vs Claudio 2–1 66.67%
KIM82M vs Raven 3–0 100.00%
KIM82M vs Fahkumram 2–1 66.67%
KIM82M vs Panda 0–1 0.00%
KIM82M vs Zafina 0–1 0.00%
KIM82M vs Lidia 1–0 100.00%
KIM82M vs Clive 1–0 100.00%
KIM82M vs Anna 0–1 0.00%
KIM82M vs Armor King 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.