Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Algorithm
PemudaPancasila
Sliding Tackle
Algorithm vs Jin 57–22 72.15%
Algorithm vs Steve 42–18 70.00%
Algorithm vs Kazuya 42–16 72.41%
Algorithm vs Bryan 36–11 76.60%
Algorithm vs Reina 32–11 74.42%
Algorithm vs Jun 26–16 61.90%
Algorithm vs Hwoarang 21–17 55.26%
Algorithm vs Devil Jin 23–15 60.53%
Algorithm vs Yoshimitsu 23–14 62.16%
Algorithm vs Paul 20–16 55.56%
Algorithm vs Lee 19–17 52.78%
Algorithm vs Law 24–10 70.59%
Algorithm vs Dragunov 17–16 51.52%
Algorithm vs Lars 21–12 63.64%
Algorithm vs King 22–10 68.75%
Algorithm vs Victor 18–13 58.06%
Algorithm vs Asuka 13–14 48.15%
Algorithm vs Lili 12–13 48.00%
Algorithm vs Xiaoyu 17–7 70.83%
Algorithm vs Claudio 12–11 52.17%
Algorithm vs Jack-8 9–13 40.91%
Algorithm vs Leo 14–8 63.64%
Algorithm vs Feng 15–6 71.43%
Algorithm vs Kuma 11–10 52.38%
Algorithm vs Azucena 11–10 52.38%
Algorithm vs Nina 13–7 65.00%
Algorithm vs Leroy 12–8 60.00%
Algorithm vs Raven 12–5 70.59%
Algorithm vs Shaheen 9–6 60.00%
Algorithm vs Eddy 9–6 60.00%
Algorithm vs Alisa 8–6 57.14%
Algorithm vs Zafina 8–6 57.14%
Algorithm vs Panda 6–3 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.