Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Shalashaska vs Jin 51–70 42.15%
Shalashaska vs Law 45–70 39.13%
Shalashaska vs Kazuya 56–59 48.70%
Shalashaska vs King 50–64 43.86%
Shalashaska vs Hwoarang 60–46 56.60%
Shalashaska vs Bryan 36–53 40.45%
Shalashaska vs Reina 40–32 55.56%
Shalashaska vs Heihachi 31–39 44.29%
Shalashaska vs Paul 34–35 49.28%
Shalashaska vs Steve 34–34 50.00%
Shalashaska vs Jun 29–39 42.65%
Shalashaska vs Yoshimitsu 25–38 39.68%
Shalashaska vs Lili 31–25 55.36%
Shalashaska vs Eddy 19–28 40.43%
Shalashaska vs Nina 20–25 44.44%
Shalashaska vs Xiaoyu 21–22 48.84%
Shalashaska vs Devil Jin 15–24 38.46%
Shalashaska vs Asuka 18–19 48.65%
Shalashaska vs Dragunov 14–17 45.16%
Shalashaska vs Lars 13–16 44.83%
Shalashaska vs Lidia 20–9 68.97%
Shalashaska vs Clive 14–15 48.28%
Shalashaska vs Alisa 14–12 53.85%
Shalashaska vs Azucena 12–14 46.15%
Shalashaska vs Leroy 13–12 52.00%
Shalashaska vs Victor 10–11 47.62%
Shalashaska vs Raven 6–13 31.58%
Shalashaska vs Claudio 4–14 22.22%
Shalashaska vs Lee 7–11 38.89%
Shalashaska vs Jack-8 9–6 60.00%
Shalashaska vs Feng 2–13 13.33%
Shalashaska vs Kuma 1–6 14.29%
Shalashaska vs Leo 1–5 16.67%
Shalashaska vs Zafina 2–3 40.00%
Shalashaska vs Shaheen 1–2 33.33%
Shalashaska vs Fahkumram 2–1 66.67%
Shalashaska vs Anna 1–0 100.00%

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.