Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

boost vs Reina 43–52 45.26%
boost vs Steve 31–57 35.23%
boost vs King 36–51 41.38%
boost vs Kazuya 34–43 44.16%
boost vs Jin 26–41 38.81%
boost vs Lee 22–23 48.89%
boost vs Asuka 9–34 20.93%
boost vs Dragunov 15–28 34.88%
boost vs Hwoarang 12–30 28.57%
boost vs Bryan 19–21 47.50%
boost vs Lili 17–19 47.22%
boost vs Lidia 13–23 36.11%
boost vs Law 15–20 42.86%
boost vs Jun 14–21 40.00%
boost vs Lars 11–23 32.35%
boost vs Victor 12–19 38.71%
boost vs Heihachi 13–18 41.94%
boost vs Paul 15–12 55.56%
boost vs Nina 9–18 33.33%
boost vs Azucena 17–10 62.96%
boost vs Xiaoyu 10–15 40.00%
boost vs Feng 8–17 32.00%
boost vs Leo 14–7 66.67%
boost vs Eddy 3–18 14.29%
boost vs Devil Jin 9–11 45.00%
boost vs Kuma 8–11 42.11%
boost vs Leroy 10–6 62.50%
boost vs Alisa 7–8 46.67%
boost vs Claudio 4–11 26.67%
boost vs Clive 5–10 33.33%
boost vs Yoshimitsu 8–6 57.14%
boost vs Raven 4–10 28.57%
boost vs Shaheen 6–7 46.15%
boost vs Zafina 4–8 33.33%
boost vs Fahkumram 5–5 50.00%
boost vs Jack-8 5–3 62.50%
boost vs Armor King 1–6 14.29%
boost vs Panda 3–3 50.00%
boost vs Anna 4–2 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.