Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
나는 날먹안함

Ratings

나는 날먹안함 vs Kazuya 183–204 47.29%
나는 날먹안함 vs Clive 194–154 55.75%
나는 날먹안함 vs Jin 143–203 41.33%
나는 날먹안함 vs Bryan 159–179 47.04%
나는 날먹안함 vs Reina 179–118 60.27%
나는 날먹안함 vs Dragunov 141–146 49.13%
나는 날먹안함 vs King 114–161 41.45%
나는 날먹안함 vs Paul 128–116 52.46%
나는 날먹안함 vs Heihachi 119–119 50.00%
나는 날먹안함 vs Hwoarang 92–144 38.98%
나는 날먹안함 vs Steve 103–115 47.25%
나는 날먹안함 vs Asuka 90–102 46.88%
나는 날먹안함 vs Lili 83–109 43.23%
나는 날먹안함 vs Jun 96–86 52.75%
나는 날먹안함 vs Armor King 85–89 48.85%
나는 날먹안함 vs Yoshimitsu 82–90 47.67%
나는 날먹안함 vs Fahkumram 91–77 54.17%
나는 날먹안함 vs Victor 65–90 41.94%
나는 날먹안함 vs Law 57–87 39.58%
나는 날먹안함 vs Devil Jin 62–78 44.29%
나는 날먹안함 vs Feng 65–68 48.87%
나는 날먹안함 vs Xiaoyu 62–69 47.33%
나는 날먹안함 vs Lars 53–75 41.41%
나는 날먹안함 vs Azucena 53–67 44.17%
나는 날먹안함 vs Lidia 53–63 45.69%
나는 날먹안함 vs Leo 50–64 43.86%
나는 날먹안함 vs Claudio 52–59 46.85%
나는 날먹안함 vs Nina 44–61 41.90%
나는 날먹안함 vs Jack-8 39–51 43.33%
나는 날먹안함 vs Leroy 40–47 45.98%
나는 날먹안함 vs Lee 44–42 51.16%
나는 날먹안함 vs Anna 29–48 37.66%
나는 날먹안함 vs Alisa 23–49 31.94%
나는 날먹안함 vs Eddy 32–28 53.33%
나는 날먹안함 vs Kuma 31–28 52.54%
나는 날먹안함 vs Shaheen 29–29 50.00%
나는 날먹안함 vs Raven 15–32 31.91%
나는 날먹안함 vs Zafina 19–22 46.34%
나는 날먹안함 vs Panda 8–18 30.77%
나는 날먹안함 vs Miary Zo 5–3 62.50%

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.