Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

i am bad vs Kazuya 107–105 50.47%
i am bad vs Jin 100–79 55.87%
i am bad vs King 73–57 56.15%
i am bad vs Bryan 49–66 42.61%
i am bad vs Reina 68–45 60.18%
i am bad vs Hwoarang 60–49 55.05%
i am bad vs Law 55–39 58.51%
i am bad vs Lili 53–36 59.55%
i am bad vs Heihachi 49–35 58.33%
i am bad vs Paul 38–36 51.35%
i am bad vs Steve 43–29 59.72%
i am bad vs Yoshimitsu 39–30 56.52%
i am bad vs Dragunov 33–32 50.77%
i am bad vs Asuka 43–20 68.25%
i am bad vs Alisa 27–33 45.00%
i am bad vs Xiaoyu 35–23 60.34%
i am bad vs Clive 40–18 68.97%
i am bad vs Devil Jin 29–25 53.70%
i am bad vs Leroy 25–25 50.00%
i am bad vs Claudio 27–22 55.10%
i am bad vs Lee 24–25 48.98%
i am bad vs Lars 18–30 37.50%
i am bad vs Eddy 24–21 53.33%
i am bad vs Feng 26–18 59.09%
i am bad vs Raven 20–22 47.62%
i am bad vs Victor 24–13 64.86%
i am bad vs Jun 20–16 55.56%
i am bad vs Jack-8 16–18 47.06%
i am bad vs Nina 14–19 42.42%
i am bad vs Azucena 16–13 55.17%
i am bad vs Lidia 13–11 54.17%
i am bad vs Fahkumram 16–6 72.73%
i am bad vs Zafina 4–14 22.22%
i am bad vs Kuma 10–6 62.50%
i am bad vs Leo 7–6 53.85%
i am bad vs Anna 5–3 62.50%
i am bad vs Shaheen 3–2 60.00%
i am bad vs Miary Zo 3–2 60.00%
i am bad vs Panda 3–1 75.00%
i am bad vs Armor King 3–1 75.00%

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.