Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
두릅나무를 먹었더니 무릅니다

Ratings

두릅나무를 먹었더니 무릅니다 vs Armor King 64–51 55.65%
두릅나무를 먹었더니 무릅니다 vs Kazuya 49–40 55.06%
두릅나무를 먹었더니 무릅니다 vs Bryan 49–34 59.04%
두릅나무를 먹었더니 무릅니다 vs King 52–28 65.00%
두릅나무를 먹었더니 무릅니다 vs Hwoarang 43–37 53.75%
두릅나무를 먹었더니 무릅니다 vs Dragunov 34–46 42.50%
두릅나무를 먹었더니 무릅니다 vs Jin 44–34 56.41%
두릅나무를 먹었더니 무릅니다 vs Law 40–31 56.34%
두릅나무를 먹었더니 무릅니다 vs Paul 40–26 60.61%
두릅나무를 먹었더니 무릅니다 vs Reina 30–34 46.88%
두릅나무를 먹었더니 무릅니다 vs Lili 28–32 46.67%
두릅나무를 먹었더니 무릅니다 vs Fahkumram 19–40 32.20%
두릅나무를 먹었더니 무릅니다 vs Steve 30–28 51.72%
두릅나무를 먹었더니 무릅니다 vs Xiaoyu 28–23 54.90%
두릅나무를 먹었더니 무릅니다 vs Lee 18–31 36.73%
두릅나무를 먹었더니 무릅니다 vs Victor 21–27 43.75%
두릅나무를 먹었더니 무릅니다 vs Lars 18–27 40.00%
두릅나무를 먹었더니 무릅니다 vs Devil Jin 21–22 48.84%
두릅나무를 먹었더니 무릅니다 vs Yoshimitsu 22–19 53.66%
두릅나무를 먹었더니 무릅니다 vs Jack-8 20–20 50.00%
두릅나무를 먹었더니 무릅니다 vs Eddy 23–17 57.50%
두릅나무를 먹었더니 무릅니다 vs Anna 19–21 47.50%
두릅나무를 먹었더니 무릅니다 vs Asuka 19–20 48.72%
두릅나무를 먹었더니 무릅니다 vs Leo 19–19 50.00%
두릅나무를 먹었더니 무릅니다 vs Alisa 18–20 47.37%
두릅나무를 먹었더니 무릅니다 vs Leroy 15–23 39.47%
두릅나무를 먹었더니 무릅니다 vs Azucena 17–21 44.74%
두릅나무를 먹었더니 무릅니다 vs Feng 20–16 55.56%
두릅나무를 먹었더니 무릅니다 vs Miary Zo 16–20 44.44%
두릅나무를 먹었더니 무릅니다 vs Zafina 18–17 51.43%
두릅나무를 먹었더니 무릅니다 vs Heihachi 17–18 48.57%
두릅나무를 먹었더니 무릅니다 vs Clive 13–20 39.39%
두릅나무를 먹었더니 무릅니다 vs Shaheen 20–12 62.50%
두릅나무를 먹었더니 무릅니다 vs Raven 19–13 59.38%
두릅나무를 먹었더니 무릅니다 vs Jun 13–18 41.94%
두릅나무를 먹었더니 무릅니다 vs Nina 17–13 56.67%
두릅나무를 먹었더니 무릅니다 vs Claudio 11–11 50.00%
두릅나무를 먹었더니 무릅니다 vs Lidia 4–16 20.00%
두릅나무를 먹었더니 무릅니다 vs Kuma 6–6 50.00%
두릅나무를 먹었더니 무릅니다 vs Panda 6–5 54.55%

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.