Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Inverse

Ratings

Inverse vs King 64–76 45.71%
Inverse vs Fahkumram 48–70 40.68%
Inverse vs Kazuya 35–64 35.35%
Inverse vs Jin 22–62 26.19%
Inverse vs Armor King 35–46 43.21%
Inverse vs Reina 37–40 48.05%
Inverse vs Steve 27–49 35.53%
Inverse vs Bryan 21–44 32.31%
Inverse vs Law 31–29 51.67%
Inverse vs Dragunov 22–38 36.67%
Inverse vs Yoshimitsu 23–36 38.98%
Inverse vs Hwoarang 25–30 45.45%
Inverse vs Clive 22–29 43.14%
Inverse vs Heihachi 16–33 32.65%
Inverse vs Lili 11–35 23.91%
Inverse vs Azucena 24–17 58.54%
Inverse vs Jun 17–23 42.50%
Inverse vs Lee 19–20 48.72%
Inverse vs Lidia 18–15 54.55%
Inverse vs Eddy 9–23 28.12%
Inverse vs Anna 7–25 21.88%
Inverse vs Lars 9–22 29.03%
Inverse vs Nina 10–21 32.26%
Inverse vs Leo 10–20 33.33%
Inverse vs Victor 13–17 43.33%
Inverse vs Paul 5–24 17.24%
Inverse vs Xiaoyu 7–20 25.93%
Inverse vs Devil Jin 10–15 40.00%
Inverse vs Alisa 6–15 28.57%
Inverse vs Asuka 8–12 40.00%
Inverse vs Feng 3–16 15.79%
Inverse vs Claudio 6–11 35.29%
Inverse vs Raven 3–11 21.43%
Inverse vs Zafina 5–8 38.46%
Inverse vs Jack-8 2–9 18.18%
Inverse vs Kuma 2–9 18.18%
Inverse vs Panda 7–4 63.64%
Inverse vs Shaheen 2–7 22.22%
Inverse vs Leroy 2–7 22.22%
Inverse vs Miary Zo 2–2 50.00%

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.