Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Epsylone vs Kazuya 96–69 58.18%
Epsylone vs Law 78–60 56.52%
Epsylone vs Bryan 78–52 60.00%
Epsylone vs King 67–56 54.47%
Epsylone vs Steve 67–47 58.77%
Epsylone vs Jin 54–55 49.54%
Epsylone vs Hwoarang 59–30 66.29%
Epsylone vs Heihachi 50–36 58.14%
Epsylone vs Yoshimitsu 45–35 56.25%
Epsylone vs Lars 48–28 63.16%
Epsylone vs Lee 37–29 56.06%
Epsylone vs Azucena 35–31 53.03%
Epsylone vs Reina 33–32 50.77%
Epsylone vs Xiaoyu 39–25 60.94%
Epsylone vs Jun 35–29 54.69%
Epsylone vs Paul 32–31 50.79%
Epsylone vs Lili 36–24 60.00%
Epsylone vs Lidia 31–24 56.36%
Epsylone vs Devil Jin 18–30 37.50%
Epsylone vs Raven 29–19 60.42%
Epsylone vs Dragunov 26–20 56.52%
Epsylone vs Nina 17–29 36.96%
Epsylone vs Asuka 25–17 59.52%
Epsylone vs Eddy 29–13 69.05%
Epsylone vs Fahkumram 18–22 45.00%
Epsylone vs Anna 24–15 61.54%
Epsylone vs Leo 16–20 44.44%
Epsylone vs Jack-8 13–22 37.14%
Epsylone vs Kuma 19–14 57.58%
Epsylone vs Clive 21–12 63.64%
Epsylone vs Feng 23–9 71.88%
Epsylone vs Alisa 19–13 59.38%
Epsylone vs Victor 21–9 70.00%
Epsylone vs Leroy 17–12 58.62%
Epsylone vs Armor King 17–10 62.96%
Epsylone vs Shaheen 6–12 33.33%
Epsylone vs Claudio 6–10 37.50%
Epsylone vs Zafina 13–3 81.25%
Epsylone vs Miary Zo 7–9 43.75%
Epsylone vs Panda 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.