Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

0 w 0
NONs4
太想进步了
好玩爱玩难玩
0 w 0 vs Reina 49–58 45.79%
0 w 0 vs Jin 28–53 34.57%
0 w 0 vs King 17–44 27.87%
0 w 0 vs Kazuya 26–33 44.07%
0 w 0 vs Paul 13–30 30.23%
0 w 0 vs Hwoarang 15–28 34.88%
0 w 0 vs Law 13–26 33.33%
0 w 0 vs Yoshimitsu 12–26 31.58%
0 w 0 vs Jun 14–24 36.84%
0 w 0 vs Victor 11–27 28.95%
0 w 0 vs Dragunov 10–22 31.25%
0 w 0 vs Devil Jin 12–19 38.71%
0 w 0 vs Eddy 4–27 12.90%
0 w 0 vs Azucena 14–16 46.67%
0 w 0 vs Bryan 15–14 51.72%
0 w 0 vs Steve 8–21 27.59%
0 w 0 vs Asuka 10–15 40.00%
0 w 0 vs Leroy 8–16 33.33%
0 w 0 vs Lili 9–14 39.13%
0 w 0 vs Lars 8–15 34.78%
0 w 0 vs Feng 4–17 19.05%
0 w 0 vs Alisa 4–13 23.53%
0 w 0 vs Xiaoyu 6–10 37.50%
0 w 0 vs Claudio 3–13 18.75%
0 w 0 vs Kuma 3–12 20.00%
0 w 0 vs Jack-8 7–6 53.85%
0 w 0 vs Nina 5–8 38.46%
0 w 0 vs Leo 4–8 33.33%
0 w 0 vs Lee 2–9 18.18%
0 w 0 vs Panda 2–4 33.33%
0 w 0 vs Shaheen 2–1 66.67%
0 w 0 vs Zafina 0–2 0.00%
0 w 0 vs Lidia 0–2 0.00%
0 w 0 vs Raven 0–1 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.