Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Sigma
Inservin
Sigma vs King 36–30 54.55%
Sigma vs Reina 41–18 69.49%
Sigma vs Bryan 37–18 67.27%
Sigma vs Lili 32–23 58.18%
Sigma vs Jin 33–20 62.26%
Sigma vs Kazuya 25–23 52.08%
Sigma vs Steve 22–20 52.38%
Sigma vs Hwoarang 19–17 52.78%
Sigma vs Dragunov 14–20 41.18%
Sigma vs Lee 18–14 56.25%
Sigma vs Eddy 16–16 50.00%
Sigma vs Law 16–15 51.61%
Sigma vs Paul 16–14 53.33%
Sigma vs Yoshimitsu 19–11 63.33%
Sigma vs Jun 16–13 55.17%
Sigma vs Asuka 13–13 50.00%
Sigma vs Victor 8–17 32.00%
Sigma vs Devil Jin 9–12 42.86%
Sigma vs Azucena 16–5 76.19%
Sigma vs Lars 10–10 50.00%
Sigma vs Leo 7–12 36.84%
Sigma vs Xiaoyu 8–9 47.06%
Sigma vs Jack-8 8–8 50.00%
Sigma vs Nina 5–11 31.25%
Sigma vs Kuma 9–5 64.29%
Sigma vs Claudio 9–3 75.00%
Sigma vs Leroy 3–9 25.00%
Sigma vs Alisa 6–5 54.55%
Sigma vs Feng 4–4 50.00%
Sigma vs Zafina 5–2 71.43%
Sigma vs Raven 6–1 85.71%
Sigma vs Shaheen 4–1 80.00%
Sigma vs Lidia 3–2 60.00%
Sigma vs Clive 1–2 33.33%
Sigma vs Panda 0–1 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.