Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

THE KUMA vs Armor King 69–82 45.70%
THE KUMA vs King 78–68 53.42%
THE KUMA vs Bryan 88–57 60.69%
THE KUMA vs Kazuya 77–57 57.46%
THE KUMA vs Dragunov 71–53 57.26%
THE KUMA vs Devil Jin 64–52 55.17%
THE KUMA vs Eddy 53–40 56.99%
THE KUMA vs Anna 40–52 43.48%
THE KUMA vs Claudio 52–39 57.14%
THE KUMA vs Jin 53–34 60.92%
THE KUMA vs Law 53–32 62.35%
THE KUMA vs Yoshimitsu 45–36 55.56%
THE KUMA vs Steve 44–34 56.41%
THE KUMA vs Feng 54–24 69.23%
THE KUMA vs Heihachi 33–45 42.31%
THE KUMA vs Lars 41–31 56.94%
THE KUMA vs Hwoarang 39–32 54.93%
THE KUMA vs Paul 45–24 65.22%
THE KUMA vs Jun 37–25 59.68%
THE KUMA vs Reina 35–24 59.32%
THE KUMA vs Victor 37–22 62.71%
THE KUMA vs Azucena 37–19 66.07%
THE KUMA vs Fahkumram 24–29 45.28%
THE KUMA vs Asuka 36–15 70.59%
THE KUMA vs Lili 28–23 54.90%
THE KUMA vs Lee 25–21 54.35%
THE KUMA vs Alisa 26–14 65.00%
THE KUMA vs Nina 15–20 42.86%
THE KUMA vs Miary Zo 17–18 48.57%
THE KUMA vs Clive 15–18 45.45%
THE KUMA vs Leo 18–9 66.67%
THE KUMA vs Raven 5–21 19.23%
THE KUMA vs Leroy 8–17 32.00%
THE KUMA vs Jack-8 15–9 62.50%
THE KUMA vs Xiaoyu 4–17 19.05%
THE KUMA vs Shaheen 11–8 57.89%
THE KUMA vs Lidia 13–6 68.42%
THE KUMA vs Kuma 9–6 60.00%
THE KUMA vs Zafina 3–10 23.08%
THE KUMA vs Panda 1–4 20.00%

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.