Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
gogoland

Ratings

gogoland vs Kazuya 29–15 65.91%
gogoland vs Reina 21–22 48.84%
gogoland vs Dragunov 23–16 58.97%
gogoland vs Paul 21–16 56.76%
gogoland vs Jin 21–10 67.74%
gogoland vs Lili 15–12 55.56%
gogoland vs King 10–15 40.00%
gogoland vs Bryan 13–10 56.52%
gogoland vs Jun 9–9 50.00%
gogoland vs Hwoarang 12–5 70.59%
gogoland vs Law 9–7 56.25%
gogoland vs Xiaoyu 11–2 84.62%
gogoland vs Feng 8–5 61.54%
gogoland vs Claudio 10–3 76.92%
gogoland vs Azucena 8–5 61.54%
gogoland vs Yoshimitsu 9–3 75.00%
gogoland vs Steve 9–3 75.00%
gogoland vs Lars 8–4 66.67%
gogoland vs Victor 5–7 41.67%
gogoland vs Eddy 8–3 72.73%
gogoland vs Asuka 3–4 42.86%
gogoland vs Zafina 6–1 85.71%
gogoland vs Devil Jin 5–1 83.33%
gogoland vs Raven 4–2 66.67%
gogoland vs Lidia 4–2 66.67%
gogoland vs Alisa 1–4 20.00%
gogoland vs Lee 3–2 60.00%
gogoland vs Leo 4–0 100.00%
gogoland vs Shaheen 2–2 50.00%
gogoland vs Kuma 2–2 50.00%
gogoland vs Nina 1–1 50.00%
gogoland vs Heihachi 2–0 100.00%
gogoland 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.