Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

lyssbian vs Reina 82–87 48.52%
lyssbian vs Kazuya 64–91 41.29%
lyssbian vs Steve 78–72–1 52.00%
lyssbian vs King 71–69 50.71%
lyssbian vs Jin 52–78 40.00%
lyssbian vs Heihachi 51–69 42.50%
lyssbian vs Dragunov 50–48 51.02%
lyssbian vs Hwoarang 45–51 46.88%
lyssbian vs Bryan 38–53 41.76%
lyssbian vs Asuka 43–38 53.09%
lyssbian vs Law 36–40 47.37%
lyssbian vs Lili 33–43 43.42%
lyssbian vs Azucena 25–39 39.06%
lyssbian vs Raven 32–31 50.79%
lyssbian vs Clive 20–35 36.36%
lyssbian vs Lidia 22–31 41.51%
lyssbian vs Yoshimitsu 23–28 45.10%
lyssbian vs Lee 23–27 46.00%
lyssbian vs Paul 20–29 40.82%
lyssbian vs Jun 19–29 39.58%
lyssbian vs Lars 17–28 37.78%
lyssbian vs Fahkumram 13–29 30.95%
lyssbian vs Xiaoyu 20–20 50.00%
lyssbian vs Nina 16–20 44.44%
lyssbian vs Victor 12–24 33.33%
lyssbian vs Devil Jin 18–17 51.43%
lyssbian vs Anna 14–21 40.00%
lyssbian vs Jack-8 16–14 53.33%
lyssbian vs Feng 11–19 36.67%
lyssbian vs Claudio 15–15 50.00%
lyssbian vs Eddy 11–17 39.29%
lyssbian vs Leo 15–11 57.69%
lyssbian vs Alisa 9–16 36.00%
lyssbian vs Shaheen 12–10 54.55%
lyssbian vs Zafina 9–13 40.91%
lyssbian vs Kuma 7–11 38.89%
lyssbian vs Panda 4–7 36.36%
lyssbian vs Armor King 2–9 18.18%
lyssbian vs Leroy 4–5 44.44%
lyssbian vs Miary Zo 2–3 40.00%

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.