Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

beans vs Jin 71–42 62.83%
beans vs Kazuya 45–32 58.44%
beans vs Bryan 29–25 53.70%
beans vs Steve 30–23 56.60%
beans vs Paul 29–20 59.18%
beans vs Dragunov 27–22 55.10%
beans vs King 32–14 69.57%
beans vs Law 26–18 59.09%
beans vs Reina 27–14 65.85%
beans vs Hwoarang 28–9 75.68%
beans vs Victor 23–11 67.65%
beans vs Yoshimitsu 20–12 62.50%
beans vs Nina 13–18 41.94%
beans vs Lili 16–8 66.67%
beans vs Lars 14–10 58.33%
beans vs Jun 16–8 66.67%
beans vs Leo 16–7 69.57%
beans vs Azucena 9–14 39.13%
beans vs Devil Jin 10–12 45.45%
beans vs Clive 17–5 77.27%
beans vs Asuka 11–10 52.38%
beans vs Claudio 13–7 65.00%
beans vs Heihachi 12–8 60.00%
beans vs Raven 11–8 57.89%
beans vs Lee 10–7 58.82%
beans vs Alisa 7–7 50.00%
beans vs Leroy 6–8 42.86%
beans vs Eddy 7–7 50.00%
beans vs Lidia 6–8 42.86%
beans vs Xiaoyu 8–5 61.54%
beans vs Anna 6–5 54.55%
beans vs Kuma 6–4 60.00%
beans vs Feng 3–6 33.33%
beans vs Shaheen 4–4 50.00%
beans vs Jack-8 1–5 16.67%
beans vs Fahkumram 3–2 60.00%
beans vs Zafina 2–1 66.67%

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.