Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

unrisk vs Kazuya 39–48 44.83%
unrisk vs Jin 28–39 41.79%
unrisk vs King 18–34 34.62%
unrisk vs Bryan 26–16 61.90%
unrisk vs Steve 19–20 48.72%
unrisk vs Hwoarang 18–19 48.65%
unrisk vs Fahkumram 19–14 57.58%
unrisk vs Dragunov 14–18 43.75%
unrisk vs Reina 12–18 40.00%
unrisk vs Heihachi 10–18 35.71%
unrisk vs Law 12–15 44.44%
unrisk vs Lili 11–13 45.83%
unrisk vs Eddy 9–15 37.50%
unrisk vs Yoshimitsu 11–12 47.83%
unrisk vs Asuka 14–9 60.87%
unrisk vs Nina 9–13 40.91%
unrisk vs Alisa 9–12 42.86%
unrisk vs Victor 9–12 42.86%
unrisk vs Armor King 2–19 9.52%
unrisk vs Paul 5–14 26.32%
unrisk vs Azucena 8–10 44.44%
unrisk vs Lars 10–6 62.50%
unrisk vs Devil Jin 6–8 42.86%
unrisk vs Clive 9–5 64.29%
unrisk vs Kuma 9–4 69.23%
unrisk vs Jun 9–4 69.23%
unrisk vs Lee 7–5 58.33%
unrisk vs Lidia 5–7 41.67%
unrisk vs Anna 3–9 25.00%
unrisk vs Claudio 8–3 72.73%
unrisk vs Feng 7–3 70.00%
unrisk vs Zafina 4–6 40.00%
unrisk vs Leroy 2–8 20.00%
unrisk vs Shaheen 1–8 11.11%
unrisk vs Raven 4–5 44.44%
unrisk vs Xiaoyu 4–3 57.14%
unrisk vs Panda 1–5 16.67%
unrisk vs Leo 3–0 100.00%

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.