Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ToY nOoDle vs Kazuya 67–42 61.47%
ToY nOoDle vs Jin 65–38 63.11%
ToY nOoDle vs Hwoarang 61–37 62.24%
ToY nOoDle vs Clive 48–35 57.83%
ToY nOoDle vs Dragunov 45–33 57.69%
ToY nOoDle vs King 61–16 79.22%
ToY nOoDle vs Steve 42–35 54.55%
ToY nOoDle vs Victor 42–31 57.53%
ToY nOoDle vs Lee 39–29 57.35%
ToY nOoDle vs Law 41–24 63.08%
ToY nOoDle vs Yoshimitsu 42–23 64.62%
ToY nOoDle vs Bryan 42–22 65.62%
ToY nOoDle vs Devil Jin 38–21 64.41%
ToY nOoDle vs Feng 34–22 60.71%
ToY nOoDle vs Reina 37–19 66.07%
ToY nOoDle vs Shaheen 29–25 53.70%
ToY nOoDle vs Lars 26–27 49.06%
ToY nOoDle vs Eddy 30–23 56.60%
ToY nOoDle vs Jun 32–17 65.31%
ToY nOoDle vs Heihachi 35–14 71.43%
ToY nOoDle vs Lili 29–17 63.04%
ToY nOoDle vs Claudio 23–23 50.00%
ToY nOoDle vs Asuka 22–23 48.89%
ToY nOoDle vs Leo 17–24 41.46%
ToY nOoDle vs Xiaoyu 26–13 66.67%
ToY nOoDle vs Lidia 26–11 70.27%
ToY nOoDle vs Leroy 23–13 63.89%
ToY nOoDle vs Zafina 18–17 51.43%
ToY nOoDle vs Anna 17–17 50.00%
ToY nOoDle vs Jack-8 20–13 60.61%
ToY nOoDle vs Nina 16–16 50.00%
ToY nOoDle vs Paul 25–3 89.29%
ToY nOoDle vs Azucena 19–7 73.08%
ToY nOoDle vs Raven 12–11 52.17%
ToY nOoDle vs Alisa 16–6 72.73%
ToY nOoDle vs Kuma 6–5 54.55%
ToY nOoDle vs Panda 3–6 33.33%
ToY nOoDle vs Fahkumram 4–1 80.00%

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.