Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ulma vs Kazuya 51–58 46.79%
ulma vs Jin 31–53 36.90%
ulma vs Bryan 28–40 41.18%
ulma vs King 32–34 48.48%
ulma vs Reina 31–34 47.69%
ulma vs Steve 19–31 38.00%
ulma vs Hwoarang 21–27 43.75%
ulma vs Dragunov 18–30 37.50%
ulma vs Azucena 28–15 65.12%
ulma vs Paul 16–26 38.10%
ulma vs Law 12–30 28.57%
ulma vs Yoshimitsu 18–23 43.90%
ulma vs Lili 16–22 42.11%
ulma vs Jun 16–21 43.24%
ulma vs Asuka 13–23 36.11%
ulma vs Eddy 11–25 30.56%
ulma vs Xiaoyu 17–16 51.52%
ulma vs Victor 10–22 31.25%
ulma vs Lars 11–16 40.74%
ulma vs Feng 8–18 30.77%
ulma vs Alisa 10–16 38.46%
ulma vs Lee 8–17 32.00%
ulma vs Leroy 10–13 43.48%
ulma vs Devil Jin 7–14 33.33%
ulma vs Claudio 10–11 47.62%
ulma vs Heihachi 8–12 40.00%
ulma vs Nina 8–7 53.33%
ulma vs Leo 6–8 42.86%
ulma vs Kuma 2–12 14.29%
ulma vs Lidia 5–7 41.67%
ulma vs Jack-8 4–6 40.00%
ulma vs Zafina 3–7 30.00%
ulma vs Raven 8–2 80.00%
ulma vs Clive 3–5 37.50%
ulma vs Shaheen 2–4 33.33%
ulma vs Panda 2–4 33.33%
ulma vs Anna 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.