Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Leafar'Paye vs Jin 79–73 51.97%
Leafar'Paye vs Kazuya 55–69 44.35%
Leafar'Paye vs Heihachi 47–60 43.93%
Leafar'Paye vs Hwoarang 43–54 44.33%
Leafar'Paye vs Reina 52–44 54.17%
Leafar'Paye vs Bryan 39–53 42.39%
Leafar'Paye vs King 31–58 34.83%
Leafar'Paye vs Dragunov 41–44 48.24%
Leafar'Paye vs Steve 17–45 27.42%
Leafar'Paye vs Victor 39–17 69.64%
Leafar'Paye vs Yoshimitsu 27–28 49.09%
Leafar'Paye vs Law 22–25 46.81%
Leafar'Paye vs Lili 14–26–1 35.00%
Leafar'Paye vs Paul 18–21 46.15%
Leafar'Paye vs Asuka 13–26 33.33%
Leafar'Paye vs Jun 17–21 44.74%
Leafar'Paye vs Clive 17–21 44.74%
Leafar'Paye vs Xiaoyu 13–24 35.14%
Leafar'Paye vs Devil Jin 10–25 28.57%
Leafar'Paye vs Lee 10–24 29.41%
Leafar'Paye vs Nina 13–19 40.62%
Leafar'Paye vs Lars 12–18 40.00%
Leafar'Paye vs Alisa 19–10 65.52%
Leafar'Paye vs Feng 15–13 53.57%
Leafar'Paye vs Lidia 9–18 33.33%
Leafar'Paye vs Azucena 9–17 34.62%
Leafar'Paye vs Eddy 13–9 59.09%
Leafar'Paye vs Claudio 3–18 14.29%
Leafar'Paye vs Shaheen 10–11 47.62%
Leafar'Paye vs Kuma 8–10 44.44%
Leafar'Paye vs Leo 4–11 26.67%
Leafar'Paye vs Jack-8 7–7 50.00%
Leafar'Paye vs Raven 3–4 42.86%
Leafar'Paye vs Leroy 2–3 40.00%
Leafar'Paye vs Panda 1–3 25.00%
Leafar'Paye vs Zafina 0–3 0.00%
Leafar'Paye vs Anna 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.