Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TmkAnubis vs King 58–72 44.62%
TmkAnubis vs Jin 73–55 57.03%
TmkAnubis vs Kazuya 54–64 45.76%
TmkAnubis vs Azucena 58–33 63.74%
TmkAnubis vs Hwoarang 42–47 47.19%
TmkAnubis vs Dragunov 46–40 53.49%
TmkAnubis vs Reina 45–38 54.22%
TmkAnubis vs Eddy 46–33 58.23%
TmkAnubis vs Bryan 46–32 58.97%
TmkAnubis vs Steve 41–37 52.56%
TmkAnubis vs Law 40–37 51.95%
TmkAnubis vs Lili 39–36 52.00%
TmkAnubis vs Jun 25–37 40.32%
TmkAnubis vs Clive 31–31 50.00%
TmkAnubis vs Yoshimitsu 35–26 57.38%
TmkAnubis vs Lars 31–30 50.82%
TmkAnubis vs Paul 24–34 41.38%
TmkAnubis vs Lee 20–29 40.82%
TmkAnubis vs Victor 24–24 50.00%
TmkAnubis vs Feng 23–24 48.94%
TmkAnubis vs Heihachi 26–21 55.32%
TmkAnubis vs Nina 24–22 52.17%
TmkAnubis vs Asuka 22–22 50.00%
TmkAnubis vs Lidia 23–20 53.49%
TmkAnubis vs Alisa 15–27 35.71%
TmkAnubis vs Xiaoyu 9–26 25.71%
TmkAnubis vs Claudio 14–20 41.18%
TmkAnubis vs Zafina 9–20 31.03%
TmkAnubis vs Devil Jin 8–20 28.57%
TmkAnubis vs Leo 13–15 46.43%
TmkAnubis vs Raven 11–15 42.31%
TmkAnubis vs Jack-8 14–9 60.87%
TmkAnubis vs Kuma 8–14 36.36%
TmkAnubis vs Leroy 10–8 55.56%
TmkAnubis vs Shaheen 8–8 50.00%
TmkAnubis vs Fahkumram 9–7 56.25%
TmkAnubis vs Panda 2–3 40.00%
TmkAnubis vs Anna 2–1 66.67%
TmkAnubis vs Armor King 2–1 66.67%

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.