Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
GOOM

Ratings

GOOM vs Bryan 15–12 55.56%
GOOM vs Law 15–11 57.69%
GOOM vs Jin 14–12 53.85%
GOOM vs Asuka 10–15 40.00%
GOOM vs King 10–11 47.62%
GOOM vs Hwoarang 9–12 42.86%
GOOM vs Heihachi 13–8 61.90%
GOOM vs Steve 5–15 25.00%
GOOM vs Kazuya 12–7 63.16%
GOOM vs Dragunov 9–8 52.94%
GOOM vs Lars 11–5 68.75%
GOOM vs Reina 7–9 43.75%
GOOM vs Azucena 6–9 40.00%
GOOM vs Lili 8–6 57.14%
GOOM vs Nina 8–6 57.14%
GOOM vs Leo 7–6 53.85%
GOOM vs Eddy 11–2 84.62%
GOOM vs Lidia 8–4 66.67%
GOOM vs Jun 10–1 90.91%
GOOM vs Yoshimitsu 2–7 22.22%
GOOM vs Xiaoyu 5–4 55.56%
GOOM vs Clive 4–4 50.00%
GOOM vs Kuma 3–4 42.86%
GOOM vs Feng 2–4 33.33%
GOOM vs Lee 2–4 33.33%
GOOM vs Leroy 3–3 50.00%
GOOM vs Paul 1–4 20.00%
GOOM vs Jack-8 4–1 80.00%
GOOM vs Alisa 2–3 40.00%
GOOM vs Victor 2–3 40.00%
GOOM vs Raven 4–1 80.00%
GOOM vs Shaheen 2–1 66.67%
GOOM vs Claudio 1–1 50.00%
GOOM vs Devil Jin 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.