Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Bootleg Shen vs Kazuya 45–49 47.87%
Bootleg Shen vs King 37–54 40.66%
Bootleg Shen vs Jin 41–48 46.07%
Bootleg Shen vs Reina 45–30 60.00%
Bootleg Shen vs Bryan 30–36 45.45%
Bootleg Shen vs Lili 37–25 59.68%
Bootleg Shen vs Hwoarang 20–37 35.09%
Bootleg Shen vs Paul 18–27 40.00%
Bootleg Shen vs Yoshimitsu 25–18 58.14%
Bootleg Shen vs Dragunov 28–15 65.12%
Bootleg Shen vs Steve 22–17 56.41%
Bootleg Shen vs Feng 15–24 38.46%
Bootleg Shen vs Nina 16–23 41.03%
Bootleg Shen vs Lee 18–21 46.15%
Bootleg Shen vs Jun 14–17 45.16%
Bootleg Shen vs Asuka 15–14 51.72%
Bootleg Shen vs Xiaoyu 16–11 59.26%
Bootleg Shen vs Lars 16–11 59.26%
Bootleg Shen vs Law 15–11 57.69%
Bootleg Shen vs Alisa 12–13 48.00%
Bootleg Shen vs Jack-8 11–13 45.83%
Bootleg Shen vs Leo 12–12 50.00%
Bootleg Shen vs Lidia 7–17 29.17%
Bootleg Shen vs Devil Jin 12–11 52.17%
Bootleg Shen vs Leroy 7–11 38.89%
Bootleg Shen vs Claudio 4–12 25.00%
Bootleg Shen vs Raven 7–9 43.75%
Bootleg Shen vs Eddy 10–6 62.50%
Bootleg Shen vs Victor 5–10 33.33%
Bootleg Shen vs Clive 3–12 20.00%
Bootleg Shen vs Shaheen 5–8 38.46%
Bootleg Shen vs Kuma 5–6 45.45%
Bootleg Shen vs Zafina 2–6 25.00%
Bootleg Shen vs Azucena 1–7 12.50%
Bootleg Shen vs Heihachi 1–5 16.67%
Bootleg Shen vs Panda 3–2 60.00%

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.