Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

i like big men vs King 23–0 100.00%
i like big men vs Reina 18–0 100.00%
i like big men vs Heihachi 16–2 88.89%
i like big men vs Kazuya 12–3 80.00%
i like big men vs Hwoarang 11–2 84.62%
i like big men vs Jin 11–0 100.00%
i like big men vs Asuka 10–1 90.91%
i like big men vs Nina 9–2 81.82%
i like big men vs Paul 10–0 100.00%
i like big men vs Leroy 9–1 90.00%
i like big men vs Steve 6–3 66.67%
i like big men vs Lee 8–1 88.89%
i like big men vs Azucena 7–2 77.78%
i like big men vs Xiaoyu 6–2 75.00%
i like big men vs Lidia 5–3 62.50%
i like big men vs Bryan 6–1 85.71%
i like big men vs Devil Jin 5–1 83.33%
i like big men vs Lili 5–0 100.00%
i like big men vs Dragunov 3–2 60.00%
i like big men vs Leo 5–0 100.00%
i like big men vs Jun 4–0 100.00%
i like big men vs Law 3–0 100.00%
i like big men vs Lars 3–0 100.00%
i like big men vs Shaheen 2–1 66.67%
i like big men vs Victor 3–0 100.00%
i like big men vs Alisa 2–0 100.00%
i like big men vs Kuma 2–0 100.00%
i like big men vs Raven 2–0 100.00%
i like big men vs Jack-8 1–0 100.00%
i like big men vs Eddy 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.