Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

GUNDAEBINU vs Kazuya 29–25 53.70%
GUNDAEBINU vs Armor King 26–27 49.06%
GUNDAEBINU vs Bryan 16–33 32.65%
GUNDAEBINU vs Paul 23–19 54.76%
GUNDAEBINU vs Miary Zo 22–19 53.66%
GUNDAEBINU vs Steve 14–15 48.28%
GUNDAEBINU vs Asuka 16–13 55.17%
GUNDAEBINU vs Dragunov 18–10 64.29%
GUNDAEBINU vs Reina 7–18 28.00%
GUNDAEBINU vs Jin 11–13 45.83%
GUNDAEBINU vs Hwoarang 12–11 52.17%
GUNDAEBINU vs Heihachi 14–8 63.64%
GUNDAEBINU vs Law 11–8 57.89%
GUNDAEBINU vs King 7–12 36.84%
GUNDAEBINU vs Lili 12–7 63.16%
GUNDAEBINU vs Fahkumram 14–4 77.78%
GUNDAEBINU vs Azucena 8–7 53.33%
GUNDAEBINU vs Clive 4–10 28.57%
GUNDAEBINU vs Jun 4–9 30.77%
GUNDAEBINU vs Alisa 6–6 50.00%
GUNDAEBINU vs Leo 3–8 27.27%
GUNDAEBINU vs Yoshimitsu 3–7 30.00%
GUNDAEBINU vs Devil Jin 7–3 70.00%
GUNDAEBINU vs Feng 6–4 60.00%
GUNDAEBINU vs Xiaoyu 6–3 66.67%
GUNDAEBINU vs Lars 4–5 44.44%
GUNDAEBINU vs Victor 3–6 33.33%
GUNDAEBINU vs Shaheen 4–4 50.00%
GUNDAEBINU vs Leroy 3–5 37.50%
GUNDAEBINU vs Eddy 4–4 50.00%
GUNDAEBINU vs Lidia 5–2 71.43%
GUNDAEBINU vs Nina 4–2 66.67%
GUNDAEBINU vs Anna 4–2 66.67%
GUNDAEBINU vs Lee 1–4 20.00%
GUNDAEBINU vs Jack-8 0–4 0.00%
GUNDAEBINU vs Zafina 2–1 66.67%
GUNDAEBINU vs Claudio 0–2 0.00%
GUNDAEBINU vs Kuma 0–2 0.00%
GUNDAEBINU vs Panda 0–2 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.