Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

beans vs Kazuya 39–35 52.70%
beans vs King 39–27 59.09%
beans vs Steve 29–28 50.88%
beans vs Jin 28–20 58.33%
beans vs Lili 17–25 40.48%
beans vs Law 10–23 30.30%
beans vs Xiaoyu 18–11 62.07%
beans vs Reina 21–8 72.41%
beans vs Lidia 14–14 50.00%
beans vs Leo 7–19 26.92%
beans vs Jun 7–18 28.00%
beans vs Heihachi 6–18 25.00%
beans vs Clive 12–11 52.17%
beans vs Yoshimitsu 5–16 23.81%
beans vs Hwoarang 10–11 47.62%
beans vs Jack-8 10–11 47.62%
beans vs Paul 8–12 40.00%
beans vs Bryan 10–10 50.00%
beans vs Devil Jin 10–9 52.63%
beans vs Eddy 9–10 47.37%
beans vs Dragunov 10–8 55.56%
beans vs Leroy 7–8 46.67%
beans vs Azucena 8–6 57.14%
beans vs Feng 9–4 69.23%
beans vs Kuma 4–9 30.77%
beans vs Lars 3–9 25.00%
beans vs Lee 6–6 50.00%
beans vs Raven 6–6 50.00%
beans vs Nina 3–7 30.00%
beans vs Alisa 0–8 0.00%
beans vs Asuka 3–3 50.00%
beans vs Claudio 2–4 33.33%
beans vs Victor 1–4 20.00%
beans vs Zafina 2–2 50.00%
beans vs Shaheen 1–2 33.33%
beans vs Fahkumram 1–2 33.33%
beans vs Anna 2–0 100.00%

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.