Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

onarshoe vs Kazuya 86–71 54.78%
onarshoe vs Bryan 78–67 53.79%
onarshoe vs King 84–59 58.74%
onarshoe vs Reina 57–62 47.90%
onarshoe vs Jin 58–54 51.79%
onarshoe vs Dragunov 53–49 51.96%
onarshoe vs Steve 47–47 50.00%
onarshoe vs Hwoarang 47–40 54.02%
onarshoe vs Paul 35–51 40.70%
onarshoe vs Law 36–49 42.35%
onarshoe vs Lars 44–40 52.38%
onarshoe vs Heihachi 36–44 45.00%
onarshoe vs Yoshimitsu 31–42 42.47%
onarshoe vs Azucena 47–25 65.28%
onarshoe vs Lili 37–33 52.86%
onarshoe vs Lee 26–42 38.24%
onarshoe vs Asuka 38–25 60.32%
onarshoe vs Fahkumram 30–29 50.85%
onarshoe vs Devil Jin 33–24 57.89%
onarshoe vs Nina 24–28 46.15%
onarshoe vs Xiaoyu 24–27 47.06%
onarshoe vs Leo 35–16 68.63%
onarshoe vs Jun 32–19 62.75%
onarshoe vs Victor 22–22 50.00%
onarshoe vs Eddy 23–21 52.27%
onarshoe vs Leroy 15–22 40.54%
onarshoe vs Lidia 18–19 48.65%
onarshoe vs Raven 19–17 52.78%
onarshoe vs Clive 21–15 58.33%
onarshoe vs Feng 18–16 52.94%
onarshoe vs Claudio 14–18 43.75%
onarshoe vs Alisa 19–12 61.29%
onarshoe vs Anna 15–11 57.69%
onarshoe vs Jack-8 13–12 52.00%
onarshoe vs Zafina 8–12 40.00%
onarshoe vs Kuma 11–8 57.89%
onarshoe vs Armor King 8–5 61.54%
onarshoe vs Shaheen 5–5 50.00%
onarshoe vs Panda 4–4 50.00%
onarshoe vs Miary Zo 0–4 0.00%

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.