Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

NekoGrinder vs King 16–24 40.00%
NekoGrinder vs Reina 16–11 59.26%
NekoGrinder vs Steve 11–12 47.83%
NekoGrinder vs Hwoarang 9–13 40.91%
NekoGrinder vs Jin 10–12 45.45%
NekoGrinder vs Kazuya 5–15 25.00%
NekoGrinder vs Lili 7–12 36.84%
NekoGrinder vs Jun 8–10 44.44%
NekoGrinder vs Fahkumram 10–8 55.56%
NekoGrinder vs Law 11–6 64.71%
NekoGrinder vs Bryan 5–8 38.46%
NekoGrinder vs Armor King 2–10 16.67%
NekoGrinder vs Asuka 7–4 63.64%
NekoGrinder vs Xiaoyu 4–6 40.00%
NekoGrinder vs Dragunov 6–4 60.00%
NekoGrinder vs Alisa 1–9 10.00%
NekoGrinder vs Paul 3–6 33.33%
NekoGrinder vs Yoshimitsu 6–3 66.67%
NekoGrinder vs Jack-8 3–6 33.33%
NekoGrinder vs Claudio 2–7 22.22%
NekoGrinder vs Nina 6–3 66.67%
NekoGrinder vs Azucena 6–3 66.67%
NekoGrinder vs Lidia 5–4 55.56%
NekoGrinder vs Heihachi 6–3 66.67%
NekoGrinder vs Leroy 5–3 62.50%
NekoGrinder vs Clive 2–6 25.00%
NekoGrinder vs Zafina 6–0 100.00%
NekoGrinder vs Lars 3–2 60.00%
NekoGrinder vs Lee 2–3 40.00%
NekoGrinder vs Raven 2–3 40.00%
NekoGrinder vs Eddy 3–2 60.00%
NekoGrinder vs Feng 2–1 66.67%
NekoGrinder vs Shaheen 2–1 66.67%
NekoGrinder vs Victor 0–3 0.00%
NekoGrinder vs Devil Jin 1–1 50.00%
NekoGrinder vs Leo 1–1 50.00%
NekoGrinder vs Anna 2–0 100.00%
NekoGrinder vs Panda 1–0 100.00%

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.