Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

TK_JUN
너.이.길
TK_JUN vs Kazuya 75–29 72.12%
TK_JUN vs Dragunov 61–38 61.62%
TK_JUN vs Heihachi 52–44 54.17%
TK_JUN vs Bryan 53–35 60.23%
TK_JUN vs King 53–24 68.83%
TK_JUN vs Jin 47–29 61.84%
TK_JUN vs Reina 52–18 74.29%
TK_JUN vs Paul 41–22 65.08%
TK_JUN vs Hwoarang 33–28 54.10%
TK_JUN vs Yoshimitsu 34–20 62.96%
TK_JUN vs Nina 38–15 71.70%
TK_JUN vs Victor 36–14 72.00%
TK_JUN vs Law 34–13 72.34%
TK_JUN vs Steve 26–21 55.32%
TK_JUN vs Asuka 29–17 63.04%
TK_JUN vs Xiaoyu 33–11 75.00%
TK_JUN vs Lili 32–11 74.42%
TK_JUN vs Feng 22–20 52.38%
TK_JUN vs Claudio 27–15 64.29%
TK_JUN vs Alisa 32–9 78.05%
TK_JUN vs Azucena 20–14 58.82%
TK_JUN vs Lee 15–17 46.88%
TK_JUN vs Jun 19–8 70.37%
TK_JUN vs Lars 14–12 53.85%
TK_JUN vs Lidia 13–12 52.00%
TK_JUN vs Jack-8 13–11 54.17%
TK_JUN vs Leroy 15–9 62.50%
TK_JUN vs Kuma 15–8 65.22%
TK_JUN vs Devil Jin 19–3 86.36%
TK_JUN vs Leo 14–8 63.64%
TK_JUN vs Eddy 20–2 90.91%
TK_JUN vs Shaheen 14–6 70.00%
TK_JUN vs Zafina 9–6 60.00%
TK_JUN vs Raven 6–7 46.15%
TK_JUN vs Clive 4–6 40.00%
TK_JUN vs Panda 6–2 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.