Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

perfect--老羊
老羊很菜
perfect--老羊 vs Dragunov 59–64 47.97%
perfect--老羊 vs Kazuya 64–49 56.64%
perfect--老羊 vs Bryan 61–45 57.55%
perfect--老羊 vs Paul 39–61 39.00%
perfect--老羊 vs Hwoarang 34–60 36.17%
perfect--老羊 vs Heihachi 39–42 48.15%
perfect--老羊 vs Law 42–37 53.16%
perfect--老羊 vs King 42–33 56.00%
perfect--老羊 vs Jin 26–47 35.62%
perfect--老羊 vs Reina 36–31 53.73%
perfect--老羊 vs Claudio 25–39 39.06%
perfect--老羊 vs Azucena 32–29 52.46%
perfect--老羊 vs Lidia 27–27 50.00%
perfect--老羊 vs Yoshimitsu 22–29 43.14%
perfect--老羊 vs Victor 15–35 30.00%
perfect--老羊 vs Steve 23–22 51.11%
perfect--老羊 vs Feng 31–14 68.89%
perfect--老羊 vs Lili 22–22 50.00%
perfect--老羊 vs Alisa 19–24 44.19%
perfect--老羊 vs Leroy 20–22 47.62%
perfect--老羊 vs Asuka 13–28 31.71%
perfect--老羊 vs Devil Jin 15–25 37.50%
perfect--老羊 vs Zafina 21–19 52.50%
perfect--老羊 vs Jack-8 16–21 43.24%
perfect--老羊 vs Eddy 23–14 62.16%
perfect--老羊 vs Leo 11–24 31.43%
perfect--老羊 vs Xiaoyu 19–15 55.88%
perfect--老羊 vs Lee 13–18 41.94%
perfect--老羊 vs Nina 17–12 58.62%
perfect--老羊 vs Lars 9–19 32.14%
perfect--老羊 vs Clive 8–20 28.57%
perfect--老羊 vs Shaheen 11–15 42.31%
perfect--老羊 vs Jun 6–19 24.00%
perfect--老羊 vs Kuma 6–10 37.50%
perfect--老羊 vs Raven 5–9 35.71%
perfect--老羊 vs Panda 7–4 63.64%

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.