Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

yang vs King 16–17 48.48%
yang vs Jin 18–14 56.25%
yang vs Kazuya 16–14 53.33%
yang vs Hwoarang 20–8 71.43%
yang vs Bryan 12–16 42.86%
yang vs Lili 11–12 47.83%
yang vs Steve 11–11 50.00%
yang vs Leo 11–11 50.00%
yang vs Reina 9–12 42.86%
yang vs Heihachi 14–7 66.67%
yang vs Eddy 7–11 38.89%
yang vs Jun 9–8 52.94%
yang vs Lee 8–8 50.00%
yang vs Law 8–7 53.33%
yang vs Yoshimitsu 10–5 66.67%
yang vs Paul 7–7 50.00%
yang vs Devil Jin 11–3 78.57%
yang vs Victor 5–8 38.46%
yang vs Asuka 9–3 75.00%
yang vs Azucena 7–4 63.64%
yang vs Jack-8 4–5 44.44%
yang vs Alisa 6–3 66.67%
yang vs Lars 6–2 75.00%
yang vs Nina 6–2 75.00%
yang vs Xiaoyu 4–3 57.14%
yang vs Claudio 1–6 14.29%
yang vs Dragunov 3–3 50.00%
yang vs Raven 1–4 20.00%
yang vs Kuma 1–3 25.00%
yang vs Zafina 2–2 50.00%
yang vs Leroy 2–2 50.00%
yang vs Armor King 3–1 75.00%
yang vs Miary Zo 0–4 0.00%
yang vs Feng 0–2 0.00%
yang vs Shaheen 2–0 100.00%
yang vs Panda 1–1 50.00%
yang vs Lidia 0–2 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.