Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Legendary vs King 34–47 41.98%
Legendary vs Steve 24–54 30.77%
Legendary vs Jin 14–38 26.92%
Legendary vs Hwoarang 11–32 25.58%
Legendary vs Victor 15–27 35.71%
Legendary vs Reina 14–24 36.84%
Legendary vs Fahkumram 9–28 24.32%
Legendary vs Dragunov 9–25 26.47%
Legendary vs Azucena 9–25 26.47%
Legendary vs Lars 9–21 30.00%
Legendary vs Eddy 9–21 30.00%
Legendary vs Miary Zo 5–25 16.67%
Legendary vs Law 9–19 32.14%
Legendary vs Lili 7–21 25.00%
Legendary vs Asuka 9–17 34.62%
Legendary vs Clive 9–17 34.62%
Legendary vs Armor King 8–17 32.00%
Legendary vs Yoshimitsu 11–13 45.83%
Legendary vs Devil Jin 3–19 13.64%
Legendary vs Kazuya 5–15 25.00%
Legendary vs Lidia 4–15 21.05%
Legendary vs Lee 7–10 41.18%
Legendary vs Feng 5–10 33.33%
Legendary vs Leo 3–12 20.00%
Legendary vs Alisa 2–12 14.29%
Legendary vs Jun 2–12 14.29%
Legendary vs Raven 5–9 35.71%
Legendary vs Heihachi 6–8 42.86%
Legendary vs Jack-8 3–10 23.08%
Legendary vs Paul 3–9 25.00%
Legendary vs Anna 0–12 0.00%
Legendary vs Zafina 3–7 30.00%
Legendary vs Xiaoyu 4–4 50.00%
Legendary vs Bryan 4–4 50.00%
Legendary vs Kuma 4–4 50.00%
Legendary vs Leroy 3–3 50.00%
Legendary vs Shaheen 2–2 50.00%
Legendary vs Nina 0–4 0.00%
Legendary vs Claudio 0–3 0.00%
Legendary vs Panda 0–1 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.