Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

sickly vs Reina 27–26 50.94%
sickly vs Paul 18–33 35.29%
sickly vs Jin 15–34 30.61%
sickly vs Lili 18–30 37.50%
sickly vs Kazuya 6–41 12.77%
sickly vs Steve 13–26 33.33%
sickly vs Dragunov 7–31 18.42%
sickly vs Hwoarang 12–24 33.33%
sickly vs Yoshimitsu 15–20 42.86%
sickly vs King 8–25 24.24%
sickly vs Jun 15–17 46.88%
sickly vs Bryan 12–19 38.71%
sickly vs Asuka 15–16 48.39%
sickly vs Law 11–17 39.29%
sickly vs Devil Jin 10–18 35.71%
sickly vs Victor 5–21 19.23%
sickly vs Leroy 10–11 47.62%
sickly vs Lee 6–11 35.29%
sickly vs Lars 6–10 37.50%
sickly vs Azucena 8–8 50.00%
sickly vs Nina 5–10 33.33%
sickly vs Leo 3–11 21.43%
sickly vs Anna 4–10 28.57%
sickly vs Heihachi 4–8 33.33%
sickly vs Zafina 2–8 20.00%
sickly vs Xiaoyu 3–6 33.33%
sickly vs Jack-8 5–4 55.56%
sickly vs Claudio 5–3 62.50%
sickly vs Eddy 2–6 25.00%
sickly vs Lidia 0–8 0.00%
sickly vs Alisa 4–2 66.67%
sickly vs Clive 2–3 40.00%
sickly vs Feng 0–4 0.00%
sickly vs Panda 4–0 100.00%
sickly vs Miary Zo 4–0 100.00%
sickly vs Raven 0–3 0.00%
sickly vs Shaheen 0–2 0.00%
sickly vs Kuma 0–2 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.