Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
「ㄨ」|1nㄖNㄥㄚ

Ratings

「ㄨ」|1nㄖNㄥㄚ vs King 62–31 66.67%
「ㄨ」|1nㄖNㄥㄚ vs Kazuya 49–29 62.82%
「ㄨ」|1nㄖNㄥㄚ vs Bryan 33–30 52.38%
「ㄨ」|1nㄖNㄥㄚ vs Jin 36–25 59.02%
「ㄨ」|1nㄖNㄥㄚ vs Reina 30–25 54.55%
「ㄨ」|1nㄖNㄥㄚ vs Hwoarang 32–20 61.54%
「ㄨ」|1nㄖNㄥㄚ vs Law 36–14 72.00%
「ㄨ」|1nㄖNㄥㄚ vs Paul 21–21 50.00%
「ㄨ」|1nㄖNㄥㄚ vs Yoshimitsu 16–19 45.71%
「ㄨ」|1nㄖNㄥㄚ vs Steve 21–14 60.00%
「ㄨ」|1nㄖNㄥㄚ vs Jun 18–16 52.94%
「ㄨ」|1nㄖNㄥㄚ vs Feng 16–15 51.61%
「ㄨ」|1nㄖNㄥㄚ vs Lee 17–13 56.67%
「ㄨ」|1nㄖNㄥㄚ vs Eddy 15–13 53.57%
「ㄨ」|1nㄖNㄥㄚ vs Devil Jin 13–14 48.15%
「ㄨ」|1nㄖNㄥㄚ vs Leroy 16–11 59.26%
「ㄨ」|1nㄖNㄥㄚ vs Alisa 11–14 44.00%
「ㄨ」|1nㄖNㄥㄚ vs Nina 17–7 70.83%
「ㄨ」|1nㄖNㄥㄚ vs Dragunov 11–12 47.83%
「ㄨ」|1nㄖNㄥㄚ vs Heihachi 10–12 45.45%
「ㄨ」|1nㄖNㄥㄚ vs Lars 11–10 52.38%
「ㄨ」|1nㄖNㄥㄚ vs Lidia 13–8 61.90%
「ㄨ」|1nㄖNㄥㄚ vs Zafina 14–6 70.00%
「ㄨ」|1nㄖNㄥㄚ vs Clive 9–8 52.94%
「ㄨ」|1nㄖNㄥㄚ vs Asuka 10–6 62.50%
「ㄨ」|1nㄖNㄥㄚ vs Lili 7–9 43.75%
「ㄨ」|1nㄖNㄥㄚ vs Victor 12–4 75.00%
「ㄨ」|1nㄖNㄥㄚ vs Leo 9–6 60.00%
「ㄨ」|1nㄖNㄥㄚ vs Kuma 5–10 33.33%
「ㄨ」|1nㄖNㄥㄚ vs Azucena 8–7 53.33%
「ㄨ」|1nㄖNㄥㄚ vs Xiaoyu 10–4 71.43%
「ㄨ」|1nㄖNㄥㄚ vs Claudio 4–7 36.36%
「ㄨ」|1nㄖNㄥㄚ vs Jack-8 6–3 66.67%
「ㄨ」|1nㄖNㄥㄚ vs Shaheen 2–3 40.00%
「ㄨ」|1nㄖNㄥㄚ vs Raven 0–5 0.00%
「ㄨ」|1nㄖNㄥㄚ vs Anna 4–1 80.00%
「ㄨ」|1nㄖNㄥㄚ vs Panda 1–2 33.33%
「ㄨ」|1nㄖNㄥㄚ vs Armor King 1–1 50.00%
「ㄨ」|1nㄖNㄥㄚ vs Fahkumram 1–0 100.00%

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.