Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tofu vs Heihachi 21–25 45.65%
tofu vs Bryan 10–16 38.46%
tofu vs King 15–10 60.00%
tofu vs Reina 14–6 70.00%
tofu vs Jin 5–10 33.33%
tofu vs Hwoarang 8–3 72.73%
tofu vs Devil Jin 7–4 63.64%
tofu vs Kazuya 7–3 70.00%
tofu vs Law 5–4 55.56%
tofu vs Xiaoyu 5–4 55.56%
tofu vs Steve 4–5 44.44%
tofu vs Lili 5–4 55.56%
tofu vs Azucena 5–4 55.56%
tofu vs Lidia 4–5 44.44%
tofu vs Eddy 4–4 50.00%
tofu vs Yoshimitsu 6–1 85.71%
tofu vs Lars 4–3 57.14%
tofu vs Feng 3–3 50.00%
tofu vs Alisa 3–3 50.00%
tofu vs Asuka 4–1 80.00%
tofu vs Nina 4–1 80.00%
tofu vs Jun 2–3 40.00%
tofu vs Dragunov 2–2 50.00%
tofu vs Lee 1–3 25.00%
tofu vs Victor 2–2 50.00%
tofu vs Leo 3–0 100.00%
tofu vs Shaheen 0–3 0.00%
tofu vs Panda 2–0 100.00%
tofu vs Zafina 1–1 50.00%
tofu vs Paul 0–1 0.00%
tofu vs Jack-8 0–1 0.00%
tofu vs Kuma 0–1 0.00%
tofu vs Raven 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.