Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

-!M!-
Learning punish
-!M!- vs Jin 68–74 47.89%
-!M!- vs Hwoarang 68–53 56.20%
-!M!- vs Kazuya 43–57 43.00%
-!M!- vs Law 62–27 69.66%
-!M!- vs King 39–49 44.32%
-!M!- vs Dragunov 38–46 45.24%
-!M!- vs Yoshimitsu 49–33 59.76%
-!M!- vs Paul 42–35 54.55%
-!M!- vs Reina 37–38 49.33%
-!M!- vs Bryan 34–27 55.74%
-!M!- vs Lili 20–38 34.48%
-!M!- vs Feng 26–31 45.61%
-!M!- vs Steve 28–27 50.91%
-!M!- vs Eddy 29–26 52.73%
-!M!- vs Devil Jin 18–32 36.00%
-!M!- vs Victor 19–27 41.30%
-!M!- vs Jun 17–28 37.78%
-!M!- vs Xiaoyu 23–20 53.49%
-!M!- vs Nina 13–19 40.62%
-!M!- vs Leo 15–16 48.39%
-!M!- vs Asuka 15–15 50.00%
-!M!- vs Alisa 10–19 34.48%
-!M!- vs Lars 8–20 28.57%
-!M!- vs Lee 15–12 55.56%
-!M!- vs Claudio 10–14 41.67%
-!M!- vs Jack-8 13–10 56.52%
-!M!- vs Azucena 9–12 42.86%
-!M!- vs Raven 6–11 35.29%
-!M!- vs Shaheen 3–11 21.43%
-!M!- vs Panda 4–7 36.36%
-!M!- vs Zafina 2–9 18.18%
-!M!- vs Leroy 4–7 36.36%
-!M!- vs Kuma 0–10 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.