Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Momo Bias vs King 29–22 56.86%
Momo Bias vs Reina 17–19 47.22%
Momo Bias vs Jin 19–10 65.52%
Momo Bias vs Kazuya 11–17 39.29%
Momo Bias vs Lili 13–15 46.43%
Momo Bias vs Bryan 16–10 61.54%
Momo Bias vs Hwoarang 10–14 41.67%
Momo Bias vs Lee 11–13 45.83%
Momo Bias vs Dragunov 13–8 61.90%
Momo Bias vs Leroy 10–11 47.62%
Momo Bias vs Azucena 13–7 65.00%
Momo Bias vs Victor 8–12 40.00%
Momo Bias vs Yoshimitsu 12–7 63.16%
Momo Bias vs Jun 8–11 42.11%
Momo Bias vs Eddy 9–9 50.00%
Momo Bias vs Paul 10–7 58.82%
Momo Bias vs Steve 9–6 60.00%
Momo Bias vs Law 8–5 61.54%
Momo Bias vs Devil Jin 5–7 41.67%
Momo Bias vs Lars 6–6 50.00%
Momo Bias vs Kuma 7–4 63.64%
Momo Bias vs Nina 6–4 60.00%
Momo Bias vs Xiaoyu 7–2 77.78%
Momo Bias vs Asuka 4–5 44.44%
Momo Bias vs Clive 2–7 22.22%
Momo Bias vs Zafina 3–5 37.50%
Momo Bias vs Raven 3–5 37.50%
Momo Bias vs Jack-8 2–5 28.57%
Momo Bias vs Alisa 3–4 42.86%
Momo Bias vs Panda 1–5 16.67%
Momo Bias vs Lidia 3–3 50.00%
Momo Bias vs Claudio 3–2 60.00%
Momo Bias vs Shaheen 1–4 20.00%
Momo Bias vs Anna 3–2 60.00%
Momo Bias vs Leo 2–2 50.00%
Momo Bias vs Fahkumram 2–2 50.00%
Momo Bias vs Feng 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.