Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Learning
Ralph
Omen
PaneerWala
Bayle
The dread
LearnFromMe
Cazual
Learning vs Hwoarang 59–28 67.82%
Learning vs King 48–34 58.54%
Learning vs Jin 49–32 60.49%
Learning vs Bryan 52–27 65.82%
Learning vs Kazuya 60–17 77.92%
Learning vs Law 51–24 68.00%
Learning vs Paul 41–26 61.19%
Learning vs Heihachi 46–20 69.70%
Learning vs Nina 35–21 62.50%
Learning vs Dragunov 35–19 64.81%
Learning vs Yoshimitsu 27–23 54.00%
Learning vs Azucena 37–13 74.00%
Learning vs Feng 25–21 54.35%
Learning vs Steve 22–19 53.66%
Learning vs Lee 14–25 35.90%
Learning vs Claudio 20–18 52.63%
Learning vs Victor 21–9 70.00%
Learning vs Eddy 16–14 53.33%
Learning vs Jack-8 16–13 55.17%
Learning vs Reina 23–6 79.31%
Learning vs Alisa 18–9 66.67%
Learning vs Asuka 8–17 32.00%
Learning vs Lars 10–15 40.00%
Learning vs Kuma 15–10 60.00%
Learning vs Devil Jin 11–12 47.83%
Learning vs Shaheen 13–10 56.52%
Learning vs Clive 13–10 56.52%
Learning vs Lili 10–8 55.56%
Learning vs Jun 8–8–1 50.00%
Learning vs Lidia 8–8 50.00%
Learning vs Xiaoyu 12–2 85.71%
Learning vs Zafina 8–6 57.14%
Learning vs Leroy 9–4 69.23%
Learning vs Leo 8–4 66.67%
Learning vs Raven 4–3 57.14%
Learning vs Panda 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.