Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

slime vs Hwoarang 8–13 38.10%
slime vs Reina 10–10 50.00%
slime vs Steve 16–2 88.89%
slime vs King 6–9 40.00%
slime vs Azucena 7–6 53.85%
slime vs Armor King 2–11 15.38%
slime vs Leroy 8–4 66.67%
slime vs Dragunov 6–5 54.55%
slime vs Law 4–6 40.00%
slime vs Jin 5–5 50.00%
slime vs Bryan 3–7 30.00%
slime vs Kazuya 3–7 30.00%
slime vs Heihachi 3–7 30.00%
slime vs Lili 3–6 33.33%
slime vs Eddy 5–4 55.56%
slime vs Lars 3–5 37.50%
slime vs Jun 0–8 0.00%
slime vs Victor 8–0 100.00%
slime vs Yoshimitsu 5–2 71.43%
slime vs Anna 4–3 57.14%
slime vs Leo 2–4 33.33%
slime vs Paul 1–4 20.00%
slime vs Xiaoyu 1–4 20.00%
slime vs Jack-8 1–4 20.00%
slime vs Asuka 0–5 0.00%
slime vs Lidia 0–5 0.00%
slime vs Feng 0–4 0.00%
slime vs Claudio 1–2 33.33%
slime vs Lee 1–2 33.33%
slime vs Clive 1–2 33.33%
slime vs Nina 0–2 0.00%
slime vs Zafina 1–1 50.00%
slime vs Raven 1–1 50.00%
slime vs Alisa 1–0 100.00%
slime vs Shaheen 0–1 0.00%
slime 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.