Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

wikie
wiksi
wikky
wikie vs Jin 112–163 40.73%
wikie vs Kazuya 124–128 49.21%
wikie vs Hwoarang 95–146 39.42%
wikie vs Reina 115–114 50.22%
wikie vs King 74–135 35.41%
wikie vs Bryan 90–94 48.91%
wikie vs Law 70–111 38.67%
wikie vs Heihachi 55–101 35.26%
wikie vs Steve 58–91 38.93%
wikie vs Lili 66–71 48.18%
wikie vs Yoshimitsu 48–82 36.92%
wikie vs Paul 54–73 42.52%
wikie vs Eddy 55–67 45.08%
wikie vs Dragunov 55–66 45.45%
wikie vs Jun 60–47 56.07%
wikie vs Devil Jin 46–52 46.94%
wikie vs Alisa 35–53 39.77%
wikie vs Clive 29–54 34.94%
wikie vs Asuka 40–40 50.00%
wikie vs Lee 45–33 57.69%
wikie vs Victor 31–42 42.47%
wikie vs Feng 34–33 50.75%
wikie vs Azucena 26–37 41.27%
wikie vs Nina 35–27 56.45%
wikie vs Xiaoyu 35–25 58.33%
wikie vs Lars 23–29 44.23%
wikie vs Claudio 19–28 40.43%
wikie vs Leo 22–19 53.66%
wikie vs Lidia 17–22 43.59%
wikie vs Zafina 18–19 48.65%
wikie vs Jack-8 18–17 51.43%
wikie vs Leroy 17–11 60.71%
wikie vs Raven 14–13 51.85%
wikie vs Shaheen 6–11 35.29%
wikie vs Kuma 4–5 44.44%
wikie vs Panda 2–5 28.57%

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.