Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

loluwild vs Kazuya 75–67 52.82%
loluwild vs Jin 60–61 49.59%
loluwild vs Hwoarang 62–54 53.45%
loluwild vs Reina 66–46 58.93%
loluwild vs King 61–49 55.45%
loluwild vs Bryan 61–47 56.48%
loluwild vs Law 56–42 57.14%
loluwild vs Lili 47–45 51.09%
loluwild vs Steve 45–42 51.72%
loluwild vs Yoshimitsu 37–45 45.12%
loluwild vs Paul 31–50 38.27%
loluwild vs Lars 41–39 51.25%
loluwild vs Dragunov 50–27 64.94%
loluwild vs Jun 48–27 64.00%
loluwild vs Azucena 44–28 61.11%
loluwild vs Xiaoyu 40–30 57.14%
loluwild vs Lee 31–34 47.69%
loluwild vs Devil Jin 33–29 53.23%
loluwild vs Feng 29–27 51.79%
loluwild vs Nina 26–28–1 48.15%
loluwild vs Asuka 24–30 44.44%
loluwild vs Leo 28–24 53.85%
loluwild vs Alisa 21–24 46.67%
loluwild vs Eddy 22–20 52.38%
loluwild vs Heihachi 20–21 48.78%
loluwild vs Victor 21–18 53.85%
loluwild vs Zafina 16–21 43.24%
loluwild vs Leroy 15–22 40.54%
loluwild vs Kuma 18–18 50.00%
loluwild vs Jack-8 15–17 46.88%
loluwild vs Raven 11–18 37.93%
loluwild vs Lidia 13–13 50.00%
loluwild vs Claudio 14–11 56.00%
loluwild vs Shaheen 7–11 38.89%
loluwild vs Armor King 7–7 50.00%
loluwild vs Anna 7–5 58.33%
loluwild vs Fahkumram 4–8 33.33%
loluwild vs Clive 7–3 70.00%
loluwild vs Panda 2–3 40.00%
loluwild vs Miary Zo 1–1 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.