Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
coffeecard

Ratings

coffeecard vs Jin 29–26 52.73%
coffeecard vs Law 26–19 57.78%
coffeecard vs Bryan 22–11 66.67%
coffeecard vs Clive 19–14 57.58%
coffeecard vs Kazuya 18–14 56.25%
coffeecard vs Reina 14–16 46.67%
coffeecard vs Asuka 17–11 60.71%
coffeecard vs Eddy 13–15 46.43%
coffeecard vs Steve 19–7 73.08%
coffeecard vs King 10–15 40.00%
coffeecard vs Lee 8–17 32.00%
coffeecard vs Hwoarang 8–16 33.33%
coffeecard vs Lili 12–12 50.00%
coffeecard vs Lars 12–12 50.00%
coffeecard vs Azucena 9–15 37.50%
coffeecard vs Jun 14–9 60.87%
coffeecard vs Paul 10–12 45.45%
coffeecard vs Victor 11–9 55.00%
coffeecard vs Lidia 12–7 63.16%
coffeecard vs Dragunov 7–8 46.67%
coffeecard vs Yoshimitsu 6–8 42.86%
coffeecard vs Heihachi 5–6 45.45%
coffeecard vs Xiaoyu 2–7 22.22%
coffeecard vs Anna 4–5 44.44%
coffeecard vs Jack-8 7–1 87.50%
coffeecard vs Feng 3–5 37.50%
coffeecard vs Leo 4–4 50.00%
coffeecard vs Nina 2–4 33.33%
coffeecard vs Zafina 2–4 33.33%
coffeecard vs Devil Jin 4–1 80.00%
coffeecard vs Claudio 3–2 60.00%
coffeecard vs Alisa 3–1 75.00%
coffeecard vs Panda 4–0 100.00%
coffeecard vs Raven 2–2 50.00%
coffeecard vs Leroy 1–2 33.33%
coffeecard vs Shaheen 1–0 100.00%
coffeecard vs Kuma 1–0 100.00%

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.