Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

slime vs King 19–16 54.29%
slime vs Reina 17–5 77.27%
slime vs Kazuya 11–10 52.38%
slime vs Jun 8–11 42.11%
slime vs Hwoarang 13–5 72.22%
slime vs Jin 8–10 44.44%
slime vs Heihachi 8–9 47.06%
slime vs Steve 9–5 64.29%
slime vs Bryan 7–6 53.85%
slime vs Lili 9–3 75.00%
slime vs Lars 6–6 50.00%
slime vs Law 9–2 81.82%
slime vs Dragunov 4–7 36.36%
slime vs Asuka 4–6 40.00%
slime vs Alisa 8–1 88.89%
slime vs Yoshimitsu 4–4 50.00%
slime vs Leo 5–3 62.50%
slime vs Azucena 5–3 62.50%
slime vs Xiaoyu 4–3 57.14%
slime vs Claudio 4–3 57.14%
slime vs Eddy 4–3 57.14%
slime vs Nina 4–2 66.67%
slime vs Shaheen 2–3 40.00%
slime vs Zafina 1–4 20.00%
slime vs Devil Jin 2–2 50.00%
slime vs Lee 0–3 0.00%
slime vs Panda 2–1 66.67%
slime vs Victor 1–2 33.33%
slime vs Jack-8 0–2 0.00%
slime vs Feng 2–0 100.00%
slime vs Kuma 0–2 0.00%
slime vs Leroy 0–2 0.00%
slime vs Raven 0–2 0.00%
slime vs Lidia 2–0 100.00%
slime vs Paul 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.