Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Epsilon vs Kazuya 24–12 66.67%
Epsilon vs Jin 17–15 53.12%
Epsilon vs Paul 11–11 50.00%
Epsilon vs Dragunov 14–8 63.64%
Epsilon vs King 13–6 68.42%
Epsilon vs Law 11–7 61.11%
Epsilon vs Devil Jin 10–8 55.56%
Epsilon vs Bryan 12–5 70.59%
Epsilon vs Lee 6–9 40.00%
Epsilon vs Feng 5–9 35.71%
Epsilon vs Jun 9–5 64.29%
Epsilon vs Nina 7–4 63.64%
Epsilon vs Steve 5–5 50.00%
Epsilon vs Hwoarang 3–6 33.33%
Epsilon vs Reina 3–6 33.33%
Epsilon vs Azucena 3–5 37.50%
Epsilon vs Yoshimitsu 4–3 57.14%
Epsilon vs Leroy 6–1 85.71%
Epsilon vs Victor 6–1 85.71%
Epsilon vs Xiaoyu 3–2 60.00%
Epsilon vs Shaheen 2–3 40.00%
Epsilon vs Jack-8 1–3 25.00%
Epsilon vs Lars 4–0 100.00%
Epsilon vs Asuka 2–1 66.67%
Epsilon vs Alisa 3–0 100.00%
Epsilon vs Claudio 0–3 0.00%
Epsilon vs Kuma 1–1 50.00%
Epsilon vs Raven 2–0 100.00%
Epsilon vs Eddy 0–2 0.00%
Epsilon vs Zafina 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.