Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

noname
cjih979
noname vs Jin 16–12 57.14%
noname vs King 17–9 65.38%
noname vs Paul 18–6 75.00%
noname vs Asuka 16–8 66.67%
noname vs Dragunov 14–10 58.33%
noname vs Kazuya 13–10 56.52%
noname vs Hwoarang 13–9 59.09%
noname vs Bryan 11–8 57.89%
noname vs Devil Jin 13–4 76.47%
noname vs Victor 12–1 92.31%
noname vs Steve 7–5 58.33%
noname vs Yoshimitsu 7–4 63.64%
noname vs Jack-8 9–2 81.82%
noname vs Claudio 9–2 81.82%
noname vs Reina 8–3 72.73%
noname vs Azucena 7–3 70.00%
noname vs Eddy 3–7 30.00%
noname vs Feng 4–5 44.44%
noname vs Law 5–3 62.50%
noname vs Shaheen 3–5 37.50%
noname vs Nina 5–3 62.50%
noname vs Lili 7–0 100.00%
noname vs Leroy 7–0 100.00%
noname vs Leo 1–5 16.67%
noname vs Jun 2–4 33.33%
noname vs Alisa 2–3 40.00%
noname vs Lee 5–0 100.00%
noname vs Lars 2–2 50.00%
noname vs Kuma 0–4 0.00%
noname vs Xiaoyu 2–1 66.67%
noname vs Panda 2–0 100.00%
noname vs Raven 0–2 0.00%
noname vs Zafina 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.