Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

William__TNG
Ghoule_
William__TNG vs Reina 33–27 55.00%
William__TNG vs Kazuya 30–27 52.63%
William__TNG vs Jin 22–22 50.00%
William__TNG vs Hwoarang 16–22 42.11%
William__TNG vs King 18–15 54.55%
William__TNG vs Steve 20–13 60.61%
William__TNG vs Yoshimitsu 11–18 37.93%
William__TNG vs Law 12–16 42.86%
William__TNG vs Lili 15–13 53.57%
William__TNG vs Bryan 12–12 50.00%
William__TNG vs Dragunov 5–16 23.81%
William__TNG vs Heihachi 13–8 61.90%
William__TNG vs Lee 12–8 60.00%
William__TNG vs Asuka 9–10 47.37%
William__TNG vs Jun 13–6 68.42%
William__TNG vs Paul 9–9 50.00%
William__TNG vs Alisa 7–11 38.89%
William__TNG vs Nina 8–9 47.06%
William__TNG vs Eddy 3–13 18.75%
William__TNG vs Lidia 3–9 25.00%
William__TNG vs Leo 2–9 18.18%
William__TNG vs Claudio 4–7 36.36%
William__TNG vs Xiaoyu 3–7 30.00%
William__TNG vs Devil Jin 4–6 40.00%
William__TNG vs Feng 3–7 30.00%
William__TNG vs Azucena 5–4 55.56%
William__TNG vs Raven 3–6 33.33%
William__TNG vs Zafina 6–2 75.00%
William__TNG vs Victor 2–5 28.57%
William__TNG vs Jack-8 0–6 0.00%
William__TNG vs Kuma 4–1 80.00%
William__TNG vs Lars 1–3 25.00%
William__TNG vs Panda 1–3 25.00%
William__TNG vs Shaheen 0–3 0.00%
William__TNG vs Leroy 2–1 66.67%
William__TNG vs Clive 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.