Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Slippers vs Kazuya 149–101 59.60%
Slippers vs Reina 110–70 61.11%
Slippers vs Jin 100–65 60.61%
Slippers vs King 88–73 54.66%
Slippers vs Bryan 78–76 50.65%
Slippers vs Dragunov 66–77 46.15%
Slippers vs Steve 73–55 57.03%
Slippers vs Yoshimitsu 53–72 42.40%
Slippers vs Heihachi 63–57 52.50%
Slippers vs Paul 52–62 45.61%
Slippers vs Hwoarang 56–37 60.22%
Slippers vs Law 48–42 53.33%
Slippers vs Clive 42–40 51.22%
Slippers vs Devil Jin 45–34 56.96%
Slippers vs Azucena 47–29 61.84%
Slippers vs Asuka 39–27 59.09%
Slippers vs Lili 40–26 60.61%
Slippers vs Lee 29–28 50.88%
Slippers vs Victor 25–31 44.64%
Slippers vs Lidia 35–16 68.63%
Slippers vs Xiaoyu 28–22 56.00%
Slippers vs Alisa 23–27 46.00%
Slippers vs Eddy 25–24 51.02%
Slippers vs Nina 20–27 42.55%
Slippers vs Jun 27–18 60.00%
Slippers vs Kuma 19–21 47.50%
Slippers vs Raven 18–21 46.15%
Slippers vs Jack-8 16–21 43.24%
Slippers vs Leo 22–15 59.46%
Slippers vs Lars 18–19 48.65%
Slippers vs Feng 12–19 38.71%
Slippers vs Anna 11–19 36.67%
Slippers vs Claudio 16–11 59.26%
Slippers vs Fahkumram 16–11 59.26%
Slippers vs Leroy 13–12 52.00%
Slippers vs Zafina 12–11 52.17%
Slippers vs Shaheen 8–9 47.06%
Slippers vs Armor King 7–6 53.85%
Slippers vs Panda 5–4 55.56%
Slippers vs Miary Zo 6–3 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.