Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Goose
5Ehn-effY-jH4G xbox SmootherGoose84 America

Ratings

Goose vs Kazuya 25–12 67.57%
Goose vs Jin 16–16 50.00%
Goose vs Reina 18–10 64.29%
Goose vs Lee 16–8 66.67%
Goose vs King 11–11 50.00%
Goose vs Heihachi 14–8 63.64%
Goose vs Bryan 16–5 76.19%
Goose vs Lili 12–9 57.14%
Goose vs Hwoarang 16–4 80.00%
Goose vs Steve 18–2 90.00%
Goose vs Law 18–1 94.74%
Goose vs Yoshimitsu 14–5 73.68%
Goose vs Xiaoyu 9–8 52.94%
Goose vs Jun 13–2 86.67%
Goose vs Alisa 7–7 50.00%
Goose vs Victor 8–6 57.14%
Goose vs Raven 9–5 64.29%
Goose vs Asuka 6–7 46.15%
Goose vs Eddy 10–3 76.92%
Goose vs Dragunov 8–3 72.73%
Goose vs Azucena 9–2 81.82%
Goose vs Nina 5–5 50.00%
Goose vs Leroy 6–4 60.00%
Goose vs Paul 3–6 33.33%
Goose vs Devil Jin 8–1 88.89%
Goose vs Kuma 7–2 77.78%
Goose vs Lidia 9–0 100.00%
Goose vs Leo 3–3 50.00%
Goose vs Feng 2–3 40.00%
Goose vs Lars 3–2 60.00%
Goose vs Claudio 3–2 60.00%
Goose vs Clive 3–1 75.00%
Goose vs Shaheen 2–0 100.00%
Goose vs Zafina 2–0 100.00%
Goose 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.