Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

YongMyong vs Kazuya 68–61 52.71%
YongMyong vs Dragunov 64–64 50.00%
YongMyong vs Bryan 59–60 49.58%
YongMyong vs Armor King 60–56 51.72%
YongMyong vs Paul 36–74 32.73%
YongMyong vs Hwoarang 49–60 44.95%
YongMyong vs King 42–43 49.41%
YongMyong vs Steve 36–47 43.37%
YongMyong vs Fahkumram 36–46 43.90%
YongMyong vs Reina 41–40 50.62%
YongMyong vs Jin 40–34 54.05%
YongMyong vs Law 23–36 38.98%
YongMyong vs Clive 32–27 54.24%
YongMyong vs Lili 28–30 48.28%
YongMyong vs Devil Jin 27–29 48.21%
YongMyong vs Victor 31–23 57.41%
YongMyong vs Heihachi 26–28 48.15%
YongMyong vs Asuka 28–25 52.83%
YongMyong vs Azucena 31–19 62.00%
YongMyong vs Yoshimitsu 19–26 42.22%
YongMyong vs Jun 17–27 38.64%
YongMyong vs Nina 17–26 39.53%
YongMyong vs Lidia 23–18 56.10%
YongMyong vs Claudio 24–14 63.16%
YongMyong vs Feng 22–15 59.46%
YongMyong vs Lars 17–20 45.95%
YongMyong vs Lee 16–16 50.00%
YongMyong vs Leroy 19–13 59.38%
YongMyong vs Xiaoyu 14–17 45.16%
YongMyong vs Alisa 14–17 45.16%
YongMyong vs Anna 11–20 35.48%
YongMyong vs Raven 13–16 44.83%
YongMyong vs Jack-8 12–16 42.86%
YongMyong vs Leo 12–12 50.00%
YongMyong vs Kuma 9–10 47.37%
YongMyong vs Eddy 9–9 50.00%
YongMyong vs Shaheen 3–13 18.75%
YongMyong vs Zafina 7–8 46.67%
YongMyong vs Panda 5–3 62.50%

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.