Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
사랑은놓쳐도딜캐는놓치면안된다

Ratings

사랑은놓쳐도딜캐는놓치면안된다 vs Bryan 95–71 57.23%
사랑은놓쳐도딜캐는놓치면안된다 vs Paul 99–61 61.88%
사랑은놓쳐도딜캐는놓치면안된다 vs King 86–66 56.58%
사랑은놓쳐도딜캐는놓치면안된다 vs Kazuya 101–48 67.79%
사랑은놓쳐도딜캐는놓치면안된다 vs Dragunov 82–63 56.55%
사랑은놓쳐도딜캐는놓치면안된다 vs Hwoarang 89–44 66.92%
사랑은놓쳐도딜캐는놓치면안된다 vs Jin 70–51 57.85%
사랑은놓쳐도딜캐는놓치면안된다 vs Asuka 59–56 51.30%
사랑은놓쳐도딜캐는놓치면안된다 vs Lars 64–46 58.18%
사랑은놓쳐도딜캐는놓치면안된다 vs Reina 58–41 58.59%
사랑은놓쳐도딜캐는놓치면안된다 vs Steve 39–55 41.49%
사랑은놓쳐도딜캐는놓치면안된다 vs Clive 56–34 62.22%
사랑은놓쳐도딜캐는놓치면안된다 vs Lili 49–27 64.47%
사랑은놓쳐도딜캐는놓치면안된다 vs Heihachi 47–28 62.67%
사랑은놓쳐도딜캐는놓치면안된다 vs Law 44–30 59.46%
사랑은놓쳐도딜캐는놓치면안된다 vs Devil Jin 43–28 60.56%
사랑은놓쳐도딜캐는놓치면안된다 vs Anna 45–21 68.18%
사랑은놓쳐도딜캐는놓치면안된다 vs Lee 42–22 65.62%
사랑은놓쳐도딜캐는놓치면안된다 vs Jun 32–31 50.79%
사랑은놓쳐도딜캐는놓치면안된다 vs Jack-8 30–30 50.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Claudio 42–18 70.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Azucena 32–24 57.14%
사랑은놓쳐도딜캐는놓치면안된다 vs Eddy 32–24 57.14%
사랑은놓쳐도딜캐는놓치면안된다 vs Feng 28–23 54.90%
사랑은놓쳐도딜캐는놓치면안된다 vs Leo 29–21 58.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Nina 23–23 50.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Yoshimitsu 21–22 48.84%
사랑은놓쳐도딜캐는놓치면안된다 vs Raven 27–16 62.79%
사랑은놓쳐도딜캐는놓치면안된다 vs Lidia 23–19 54.76%
사랑은놓쳐도딜캐는놓치면안된다 vs Leroy 26–13 66.67%
사랑은놓쳐도딜캐는놓치면안된다 vs Fahkumram 20–19 51.28%
사랑은놓쳐도딜캐는놓치면안된다 vs Victor 16–21 43.24%
사랑은놓쳐도딜캐는놓치면안된다 vs Armor King 22–12 64.71%
사랑은놓쳐도딜캐는놓치면안된다 vs Xiaoyu 13–19 40.62%
사랑은놓쳐도딜캐는놓치면안된다 vs Shaheen 17–15 53.12%
사랑은놓쳐도딜캐는놓치면안된다 vs Alisa 15–15 50.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Zafina 16–14 53.33%
사랑은놓쳐도딜캐는놓치면안된다 vs Kuma 10–9 52.63%
사랑은놓쳐도딜캐는놓치면안된다 vs Miary Zo 9–3 75.00%
사랑은놓쳐도딜캐는놓치면안된다 vs Panda 4–7 36.36%

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.