Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Shermie. vs Jin 80–47 62.99%
Shermie. vs Kazuya 68–58 53.97%
Shermie. vs King 65–52 55.56%
Shermie. vs Bryan 56–39 58.95%
Shermie. vs Steve 61–34 64.21%
Shermie. vs Reina 49–46 51.58%
Shermie. vs Hwoarang 47–44 51.65%
Shermie. vs Lee 51–33 60.71%
Shermie. vs Law 47–35 57.32%
Shermie. vs Devil Jin 45–32 58.44%
Shermie. vs Lili 49–23 68.06%
Shermie. vs Paul 37–26 58.73%
Shermie. vs Yoshimitsu 36–27 57.14%
Shermie. vs Lars 30–33 47.62%
Shermie. vs Heihachi 42–21 66.67%
Shermie. vs Clive 32–28 53.33%
Shermie. vs Victor 33–24 57.89%
Shermie. vs Dragunov 24–31 43.64%
Shermie. vs Jun 23–32 41.82%
Shermie. vs Azucena 31–23 57.41%
Shermie. vs Fahkumram 31–23 57.41%
Shermie. vs Xiaoyu 36–16 69.23%
Shermie. vs Feng 27–20 57.45%
Shermie. vs Nina 29–13 69.05%
Shermie. vs Raven 25–14 64.10%
Shermie. vs Leo 22–16 57.89%
Shermie. vs Lidia 23–13 63.89%
Shermie. vs Eddy 23–12 65.71%
Shermie. vs Zafina 20–14 58.82%
Shermie. vs Asuka 19–14 57.58%
Shermie. vs Leroy 18–14 56.25%
Shermie. vs Jack-8 10–18 35.71%
Shermie. vs Alisa 16–12 57.14%
Shermie. vs Claudio 10–14 41.67%
Shermie. vs Anna 17–5 77.27%
Shermie. vs Miary Zo 12–9 57.14%
Shermie. vs Shaheen 12–6 66.67%
Shermie. vs Panda 8–8 50.00%
Shermie. vs Kuma 8–6 57.14%
Shermie. vs Armor King 5–4 55.56%

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.