Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

bones vs Jin 23–17 57.50%
bones vs Reina 14–15 48.28%
bones vs King 12–12 50.00%
bones vs Steve 14–9 60.87%
bones vs Eddy 15–8 65.22%
bones vs Lili 13–6 68.42%
bones vs Yoshimitsu 10–8 55.56%
bones vs Hwoarang 7–11 38.89%
bones vs Kazuya 12–4 75.00%
bones vs Asuka 9–7 56.25%
bones vs Dragunov 6–10 37.50%
bones vs Devil Jin 7–8 46.67%
bones vs Bryan 8–5 61.54%
bones vs Lee 7–6 53.85%
bones vs Azucena 10–3 76.92%
bones vs Lidia 8–5 61.54%
bones vs Alisa 5–5 50.00%
bones vs Heihachi 4–6 40.00%
bones vs Paul 7–2 77.78%
bones vs Law 5–3 62.50%
bones vs Lars 5–3 62.50%
bones vs Leroy 3–5 37.50%
bones vs Jun 3–5 37.50%
bones vs Victor 2–5 28.57%
bones vs Feng 2–4 33.33%
bones vs Leo 3–2 60.00%
bones vs Nina 0–4 0.00%
bones vs Jack-8 3–0 100.00%
bones vs Clive 2–1 66.67%
bones vs Xiaoyu 0–2 0.00%
bones vs Shaheen 0–2 0.00%
bones vs Kuma 2–0 100.00%

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.