Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

IRON| Kuma
IRON| 御坂10032号
TDG | 御坂10032号
TDG | KUMA
IRON| Kuma vs Hwoarang 44–46 48.89%
IRON| Kuma vs Dragunov 30–37 44.78%
IRON| Kuma vs Paul 35–30 53.85%
IRON| Kuma vs Jin 38–27 58.46%
IRON| Kuma vs King 25–32 43.86%
IRON| Kuma vs Jun 31–23 57.41%
IRON| Kuma vs Kazuya 27–25 51.92%
IRON| Kuma vs Reina 31–21 59.62%
IRON| Kuma vs Yoshimitsu 21–30 41.18%
IRON| Kuma vs Law 26–22 54.17%
IRON| Kuma vs Asuka 22–26 45.83%
IRON| Kuma vs Lars 20–27 42.55%
IRON| Kuma vs Lili 23–23 50.00%
IRON| Kuma vs Victor 22–22 50.00%
IRON| Kuma vs Bryan 16–25 39.02%
IRON| Kuma vs Eddy 20–20 50.00%
IRON| Kuma vs Alisa 22–17 56.41%
IRON| Kuma vs Xiaoyu 11–19 36.67%
IRON| Kuma vs Azucena 11–19 36.67%
IRON| Kuma vs Devil Jin 9–19 32.14%
IRON| Kuma vs Heihachi 15–13 53.57%
IRON| Kuma vs Steve 13–14 48.15%
IRON| Kuma vs Feng 11–16 40.74%
IRON| Kuma vs Claudio 8–19 29.63%
IRON| Kuma vs Leo 14–12 53.85%
IRON| Kuma vs Clive 12–14 46.15%
IRON| Kuma vs Jack-8 10–14 41.67%
IRON| Kuma vs Nina 15–9 62.50%
IRON| Kuma vs Zafina 13–11 54.17%
IRON| Kuma vs Lee 12–10 54.55%
IRON| Kuma vs Kuma 7–11 38.89%
IRON| Kuma vs Raven 10–8 55.56%
IRON| Kuma vs Lidia 6–10 37.50%
IRON| Kuma vs Panda 6–7 46.15%
IRON| Kuma vs Shaheen 4–7 36.36%
IRON| Kuma vs Leroy 1–5 16.67%

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.