Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

universe vs Reina 24–27 47.06%
universe vs Kazuya 21–14 60.00%
universe vs Jin 12–18 40.00%
universe vs Paul 14–15 48.28%
universe vs Victor 17–12 58.62%
universe vs King 7–18 28.00%
universe vs Steve 17–8 68.00%
universe vs Eddy 7–18 28.00%
universe vs Dragunov 9–13 40.91%
universe vs Azucena 11–9 55.00%
universe vs Bryan 8–11 42.11%
universe vs Lili 12–7 63.16%
universe vs Alisa 12–6 66.67%
universe vs Devil Jin 12–5 70.59%
universe vs Yoshimitsu 10–5 66.67%
universe vs Clive 6–8 42.86%
universe vs Law 3–10 23.08%
universe vs Kuma 3–9 25.00%
universe vs Jun 9–3 75.00%
universe vs Hwoarang 2–9 18.18%
universe vs Asuka 4–7 36.36%
universe vs Lee 3–7 30.00%
universe vs Leo 7–2 77.78%
universe vs Raven 5–3 62.50%
universe vs Nina 2–5 28.57%
universe vs Leroy 4–2 66.67%
universe vs Xiaoyu 0–4 0.00%
universe vs Jack-8 1–3 25.00%
universe vs Claudio 2–2 50.00%
universe vs Shaheen 2–1 66.67%
universe vs Panda 1–2 33.33%
universe vs Feng 0–2 0.00%
universe vs Lars 0–2 0.00%
universe vs Zafina 0–1 0.00%
universe vs Heihachi 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.