Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

latte vs Dragunov 29–20 59.18%
latte vs Kazuya 20–21 48.78%
latte vs Jin 18–17 51.43%
latte vs Paul 21–13 61.76%
latte vs King 17–17 50.00%
latte vs Reina 23–10 69.70%
latte vs Hwoarang 20–7 74.07%
latte vs Bryan 15–11 57.69%
latte vs Law 12–11 52.17%
latte vs Devil Jin 13–10 56.52%
latte vs Jun 16–5 76.19%
latte vs Azucena 9–11 45.00%
latte vs Victor 10–10 50.00%
latte vs Lili 11–8 57.89%
latte vs Asuka 7–10 41.18%
latte vs Yoshimitsu 8–7 53.33%
latte vs Leo 11–4 73.33%
latte vs Steve 8–6 57.14%
latte vs Lars 4–10 28.57%
latte vs Lee 5–8 38.46%
latte vs Feng 5–5 50.00%
latte vs Eddy 3–6 33.33%
latte vs Alisa 4–4 50.00%
latte vs Nina 4–4 50.00%
latte vs Kuma 4–4 50.00%
latte vs Leroy 6–1 85.71%
latte vs Jack-8 5–1 83.33%
latte vs Shaheen 3–3 50.00%
latte vs Xiaoyu 1–4 20.00%
latte vs Raven 3–2 60.00%
latte vs Claudio 3–1 75.00%
latte vs Lidia 4–0 100.00%
latte vs Heihachi 3–0 100.00%
latte vs Panda 1–0 100.00%
latte vs Clive 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.