Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

CounterpLei vs Kazuya 66–45 59.46%
CounterpLei vs Jin 49–46 51.58%
CounterpLei vs Bryan 49–45 52.13%
CounterpLei vs Reina 45–45 50.00%
CounterpLei vs Steve 47–42 52.81%
CounterpLei vs King 43–39 52.44%
CounterpLei vs Jun 29–27 51.79%
CounterpLei vs Paul 35–20 63.64%
CounterpLei vs Dragunov 29–26 52.73%
CounterpLei vs Lili 25–29 46.30%
CounterpLei vs Hwoarang 20–31 39.22%
CounterpLei vs Lars 28–23 54.90%
CounterpLei vs Lidia 28–23 54.90%
CounterpLei vs Yoshimitsu 35–15 70.00%
CounterpLei vs Law 24–24 50.00%
CounterpLei vs Lee 29–17 63.04%
CounterpLei vs Asuka 24–20 54.55%
CounterpLei vs Eddy 14–28 33.33%
CounterpLei vs Victor 20–17 54.05%
CounterpLei vs Devil Jin 16–15 51.61%
CounterpLei vs Leo 17–14 54.84%
CounterpLei vs Nina 12–19 38.71%
CounterpLei vs Azucena 19–11 63.33%
CounterpLei vs Jack-8 16–13 55.17%
CounterpLei vs Leroy 12–16 42.86%
CounterpLei vs Feng 15–10 60.00%
CounterpLei vs Xiaoyu 10–14 41.67%
CounterpLei vs Kuma 12–12 50.00%
CounterpLei vs Anna 16–8 66.67%
CounterpLei vs Raven 12–8 60.00%
CounterpLei vs Claudio 7–12 36.84%
CounterpLei vs Clive 13–6 68.42%
CounterpLei vs Zafina 7–9 43.75%
CounterpLei vs Panda 9–6 60.00%
CounterpLei vs Heihachi 9–4 69.23%
CounterpLei vs Alisa 5–6 45.45%
CounterpLei vs Shaheen 5–6 45.45%

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.