Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

whoiskit_
KingKit
whoiskit_ vs Kazuya 78–84 48.15%
whoiskit_ vs Jin 62–59 51.24%
whoiskit_ vs Bryan 63–56 52.94%
whoiskit_ vs Reina 47–54 46.53%
whoiskit_ vs Law 41–34 54.67%
whoiskit_ vs Hwoarang 39–36 52.00%
whoiskit_ vs King 35–36 49.30%
whoiskit_ vs Lili 32–30 51.61%
whoiskit_ vs Azucena 31–31 50.00%
whoiskit_ vs Eddy 30–31 49.18%
whoiskit_ vs Yoshimitsu 21–35 37.50%
whoiskit_ vs Dragunov 27–28 49.09%
whoiskit_ vs Paul 25–28 47.17%
whoiskit_ vs Jun 30–23 56.60%
whoiskit_ vs Devil Jin 27–22 55.10%
whoiskit_ vs Steve 14–34 29.17%
whoiskit_ vs Lee 15–31 32.61%
whoiskit_ vs Feng 23–19 54.76%
whoiskit_ vs Leo 28–9 75.68%
whoiskit_ vs Nina 17–20 45.95%
whoiskit_ vs Jack-8 17–16 51.52%
whoiskit_ vs Asuka 15–18 45.45%
whoiskit_ vs Victor 16–15 51.61%
whoiskit_ vs Lars 17–13 56.67%
whoiskit_ vs Alisa 15–15 50.00%
whoiskit_ vs Xiaoyu 13–13 50.00%
whoiskit_ vs Claudio 8–15 34.78%
whoiskit_ vs Raven 5–14 26.32%
whoiskit_ vs Leroy 8–9 47.06%
whoiskit_ vs Lidia 7–3 70.00%
whoiskit_ vs Kuma 2–5 28.57%
whoiskit_ vs Heihachi 2–5 28.57%
whoiskit_ vs Zafina 4–2 66.67%
whoiskit_ vs Shaheen 0–4 0.00%
whoiskit_ vs Panda 3–1 75.00%
whoiskit_ vs Clive 0–2 0.00%

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.