Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

99.99 vs Dragunov 35–46 43.21%
99.99 vs Lili 29–36 44.62%
99.99 vs Victor 25–34 42.37%
99.99 vs Paul 31–22 58.49%
99.99 vs Azucena 24–29 45.28%
99.99 vs King 30–22 57.69%
99.99 vs Reina 26–26 50.00%
99.99 vs Hwoarang 27–23 54.00%
99.99 vs Jin 21–29 42.00%
99.99 vs Bryan 24–26 48.00%
99.99 vs Kazuya 26–20 56.52%
99.99 vs Asuka 23–20 53.49%
99.99 vs Xiaoyu 28–14 66.67%
99.99 vs Jun 14–27 34.15%
99.99 vs Steve 21–16 56.76%
99.99 vs Nina 17–17 50.00%
99.99 vs Alisa 16–13 55.17%
99.99 vs Eddy 12–17 41.38%
99.99 vs Law 14–11 56.00%
99.99 vs Yoshimitsu 14–10 58.33%
99.99 vs Leroy 15–7 68.18%
99.99 vs Leo 8–13 38.10%
99.99 vs Devil Jin 13–7 65.00%
99.99 vs Claudio 7–13 35.00%
99.99 vs Feng 5–13 27.78%
99.99 vs Lee 10–7 58.82%
99.99 vs Lars 6–9 40.00%
99.99 vs Jack-8 2–9 18.18%
99.99 vs Panda 3–7 30.00%
99.99 vs Kuma 2–6 25.00%
99.99 vs Shaheen 2–1 66.67%
99.99 vs Raven 2–1 66.67%

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.