Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wulong81 vs Kazuya 98–96 50.52%
Wulong81 vs Jin 68–68 50.00%
Wulong81 vs King 63–70 47.37%
Wulong81 vs Reina 79–49 61.72%
Wulong81 vs Lidia 51–68 42.86%
Wulong81 vs Bryan 51–66 43.59%
Wulong81 vs Clive 36–56 39.13%
Wulong81 vs Heihachi 42–48 46.67%
Wulong81 vs Law 45–44 50.56%
Wulong81 vs Steve 45–41 52.33%
Wulong81 vs Eddy 36–42 46.15%
Wulong81 vs Dragunov 35–37 48.61%
Wulong81 vs Hwoarang 40–29 57.97%
Wulong81 vs Azucena 35–31 53.03%
Wulong81 vs Yoshimitsu 31–34 47.69%
Wulong81 vs Lars 25–39 39.06%
Wulong81 vs Jun 31–29 51.67%
Wulong81 vs Devil Jin 35–23 60.34%
Wulong81 vs Nina 29–29 50.00%
Wulong81 vs Xiaoyu 33–23 58.93%
Wulong81 vs Asuka 26–28 48.15%
Wulong81 vs Paul 19–34 35.85%
Wulong81 vs Feng 22–31 41.51%
Wulong81 vs Lee 20–32 38.46%
Wulong81 vs Raven 21–25 45.65%
Wulong81 vs Victor 24–21 53.33%
Wulong81 vs Lili 15–24 38.46%
Wulong81 vs Claudio 16–18 47.06%
Wulong81 vs Jack-8 15–17 46.88%
Wulong81 vs Alisa 21–11 65.62%
Wulong81 vs Leo 13–18 41.94%
Wulong81 vs Leroy 14–16 46.67%
Wulong81 vs Zafina 14–12 53.85%
Wulong81 vs Shaheen 12–11 52.17%
Wulong81 vs Kuma 8–12 40.00%
Wulong81 vs Anna 8–5 61.54%
Wulong81 vs Fahkumram 3–4 42.86%
Wulong81 vs Armor King 4–3 57.14%
Wulong81 vs Panda 0–4 0.00%
Wulong81 vs Miary Zo 2–2 50.00%

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.