Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

AttackApple vs Jin 46–29 61.33%
AttackApple vs Kazuya 50–25 66.67%
AttackApple vs King 31–24 56.36%
AttackApple vs Reina 34–19 64.15%
AttackApple vs Bryan 23–26 46.94%
AttackApple vs Hwoarang 16–20 44.44%
AttackApple vs Paul 17–18 48.57%
AttackApple vs Yoshimitsu 24–11 68.57%
AttackApple vs Dragunov 12–21 36.36%
AttackApple vs Lili 20–11 64.52%
AttackApple vs Heihachi 14–17 45.16%
AttackApple vs Law 18–12 60.00%
AttackApple vs Jack-8 16–13 55.17%
AttackApple vs Devil Jin 16–13 55.17%
AttackApple vs Lee 18–10 64.29%
AttackApple vs Steve 19–5 79.17%
AttackApple vs Asuka 11–11 50.00%
AttackApple vs Jun 13–9 59.09%
AttackApple vs Victor 9–13 40.91%
AttackApple vs Leo 11–10 52.38%
AttackApple vs Alisa 17–4 80.95%
AttackApple vs Azucena 10–11 47.62%
AttackApple vs Eddy 11–10 52.38%
AttackApple vs Nina 10–8 55.56%
AttackApple vs Kuma 11–5 68.75%
AttackApple vs Lidia 9–6 60.00%
AttackApple vs Leroy 10–4 71.43%
AttackApple vs Lars 8–5 61.54%
AttackApple vs Claudio 6–6 50.00%
AttackApple vs Zafina 4–4 50.00%
AttackApple vs Raven 6–2 75.00%
AttackApple vs Feng 5–2 71.43%
AttackApple vs Panda 5–2 71.43%
AttackApple vs Anna 5–2 71.43%
AttackApple vs Xiaoyu 0–6 0.00%
AttackApple vs Shaheen 1–1 50.00%
AttackApple vs Clive 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.