Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MooseMeat vs King 68–53 56.20%
MooseMeat vs Kazuya 53–51 50.96%
MooseMeat vs Armor King 45–55 45.00%
MooseMeat vs Jin 40–50 44.44%
MooseMeat vs Bryan 40–48 45.45%
MooseMeat vs Lidia 41–42 49.40%
MooseMeat vs Law 50–32 60.98%
MooseMeat vs Reina 41–33 55.41%
MooseMeat vs Fahkumram 39–30 56.52%
MooseMeat vs Steve 28–35 44.44%
MooseMeat vs Dragunov 35–27 56.45%
MooseMeat vs Heihachi 29–32 47.54%
MooseMeat vs Lars 31–26 54.39%
MooseMeat vs Jun 31–24 56.36%
MooseMeat vs Hwoarang 16–37 30.19%
MooseMeat vs Lee 23–30 43.40%
MooseMeat vs Lili 30–20 60.00%
MooseMeat vs Asuka 17–31 35.42%
MooseMeat vs Nina 22–25 46.81%
MooseMeat vs Paul 22–24 47.83%
MooseMeat vs Azucena 22–21 51.16%
MooseMeat vs Feng 20–22 47.62%
MooseMeat vs Yoshimitsu 24–17 58.54%
MooseMeat vs Raven 17–20 45.95%
MooseMeat vs Eddy 20–17 54.05%
MooseMeat vs Xiaoyu 10–20 33.33%
MooseMeat vs Leo 15–13 53.57%
MooseMeat vs Leroy 13–14 48.15%
MooseMeat vs Alisa 13–13 50.00%
MooseMeat vs Anna 15–11 57.69%
MooseMeat vs Devil Jin 4–13 23.53%
MooseMeat vs Jack-8 12–4 75.00%
MooseMeat vs Claudio 8–6 57.14%
MooseMeat vs Victor 9–5 64.29%
MooseMeat vs Zafina 3–7 30.00%
MooseMeat vs Clive 5–5 50.00%
MooseMeat vs Shaheen 5–4 55.56%
MooseMeat vs Kuma 3–5 37.50%
MooseMeat vs Panda 4–4 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.