Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

muyle vs Reina 46–38 54.76%
muyle vs King 26–36 41.94%
muyle vs Kazuya 25–32 43.86%
muyle vs Jin 24–32 42.86%
muyle vs Hwoarang 28–26 51.85%
muyle vs Steve 22–25 46.81%
muyle vs Dragunov 22–25 46.81%
muyle vs Eddy 17–29 36.96%
muyle vs Bryan 10–27 27.03%
muyle vs Azucena 11–25 30.56%
muyle vs Jun 16–18 47.06%
muyle vs Yoshimitsu 12–19 38.71%
muyle vs Lili 10–19 34.48%
muyle vs Xiaoyu 9–19 32.14%
muyle vs Victor 8–15 34.78%
muyle vs Law 8–13 38.10%
muyle vs Lee 14–6 70.00%
muyle vs Nina 10–9 52.63%
muyle vs Paul 10–8 55.56%
muyle vs Alisa 6–12 33.33%
muyle vs Claudio 7–9 43.75%
muyle vs Leo 7–7 50.00%
muyle vs Asuka 4–9 30.77%
muyle vs Lars 7–6 53.85%
muyle vs Devil Jin 7–5 58.33%
muyle vs Feng 4–7 36.36%
muyle vs Kuma 6–5 54.55%
muyle vs Leroy 3–7 30.00%
muyle vs Shaheen 4–5 44.44%
muyle vs Zafina 2–6 25.00%
muyle vs Jack-8 4–3 57.14%
muyle vs Raven 0–4 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.