Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Supper Spamer !

Ratings

Supper Spamer ! vs Hwoarang 28–36 43.75%
Supper Spamer ! vs King 39–23 62.90%
Supper Spamer ! vs Kazuya 28–28 50.00%
Supper Spamer ! vs Jin 25–23 52.08%
Supper Spamer ! vs Reina 20–26 43.48%
Supper Spamer ! vs Yoshimitsu 23–22 51.11%
Supper Spamer ! vs Law 18–23 43.90%
Supper Spamer ! vs Dragunov 25–16 60.98%
Supper Spamer ! vs Steve 13–27 32.50%
Supper Spamer ! vs Bryan 25–13 65.79%
Supper Spamer ! vs Eddy 20–18 52.63%
Supper Spamer ! vs Paul 17–17 50.00%
Supper Spamer ! vs Lee 21–13 61.76%
Supper Spamer ! vs Jun 9–23 28.12%
Supper Spamer ! vs Victor 15–15 50.00%
Supper Spamer ! vs Lili 12–17 41.38%
Supper Spamer ! vs Nina 11–17 39.29%
Supper Spamer ! vs Asuka 13–14 48.15%
Supper Spamer ! vs Devil Jin 9–16 36.00%
Supper Spamer ! vs Xiaoyu 10–12 45.45%
Supper Spamer ! vs Lars 13–9 59.09%
Supper Spamer ! vs Raven 11–9 55.00%
Supper Spamer ! vs Claudio 11–7 61.11%
Supper Spamer ! vs Azucena 5–13 27.78%
Supper Spamer ! vs Jack-8 7–10 41.18%
Supper Spamer ! vs Feng 9–7 56.25%
Supper Spamer ! vs Leo 6–7 46.15%
Supper Spamer ! vs Alisa 9–4 69.23%
Supper Spamer ! vs Leroy 5–8 38.46%
Supper Spamer ! vs Kuma 5–7 41.67%
Supper Spamer ! vs Zafina 5–6 45.45%
Supper Spamer ! vs Lidia 6–4 60.00%
Supper Spamer ! vs Panda 3–1 75.00%

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.