Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

semama vs Kazuya 37–28 56.92%
semama vs King 38–23 62.30%
semama vs Bryan 31–21 59.62%
semama vs Jin 20–27 42.55%
semama vs Lidia 19–25 43.18%
semama vs Reina 25–16 60.98%
semama vs Steve 21–17 55.26%
semama vs Lee 21–17 55.26%
semama vs Jun 19–18 51.35%
semama vs Hwoarang 21–15 58.33%
semama vs Paul 23–10 69.70%
semama vs Yoshimitsu 17–15 53.12%
semama vs Dragunov 13–17 43.33%
semama vs Law 21–8 72.41%
semama vs Devil Jin 10–15 40.00%
semama vs Azucena 13–9 59.09%
semama vs Asuka 15–5 75.00%
semama vs Alisa 11–9 55.00%
semama vs Nina 12–8 60.00%
semama vs Jack-8 10–9 52.63%
semama vs Leo 8–8 50.00%
semama vs Raven 8–8 50.00%
semama vs Heihachi 6–10 37.50%
semama vs Shaheen 8–7 53.33%
semama vs Xiaoyu 9–5 64.29%
semama vs Feng 5–9 35.71%
semama vs Lili 9–5 64.29%
semama vs Kuma 9–5 64.29%
semama vs Zafina 4–9 30.77%
semama vs Lars 5–6 45.45%
semama vs Claudio 3–7 30.00%
semama vs Victor 4–5 44.44%
semama vs Eddy 3–5 37.50%
semama vs Leroy 2–2 50.00%
semama vs Clive 2–1 66.67%
semama vs Panda 0–2 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.