Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TTV Sindraca vs Jin 42–51 45.16%
TTV Sindraca vs Kazuya 40–48 45.45%
TTV Sindraca vs Reina 46–40 53.49%
TTV Sindraca vs Bryan 37–35 51.39%
TTV Sindraca vs Yoshimitsu 31–39 44.29%
TTV Sindraca vs King 39–25 60.94%
TTV Sindraca vs Steve 23–40 36.51%
TTV Sindraca vs Hwoarang 24–30 44.44%
TTV Sindraca vs Lili 25–29 46.30%
TTV Sindraca vs Dragunov 26–22 54.17%
TTV Sindraca vs Azucena 25–19 56.82%
TTV Sindraca vs Leo 19–24 44.19%
TTV Sindraca vs Paul 16–22 42.11%
TTV Sindraca vs Jun 17–21 44.74%
TTV Sindraca vs Xiaoyu 18–18 50.00%
TTV Sindraca vs Lee 20–16 55.56%
TTV Sindraca vs Nina 14–20 41.18%
TTV Sindraca vs Eddy 19–13 59.38%
TTV Sindraca vs Law 8–22 26.67%
TTV Sindraca vs Asuka 15–15 50.00%
TTV Sindraca vs Heihachi 10–19 34.48%
TTV Sindraca vs Leroy 13–15 46.43%
TTV Sindraca vs Victor 15–13 53.57%
TTV Sindraca vs Jack-8 17–9 65.38%
TTV Sindraca vs Feng 12–12 50.00%
TTV Sindraca vs Clive 11–9 55.00%
TTV Sindraca vs Devil Jin 9–10 47.37%
TTV Sindraca vs Alisa 7–12 36.84%
TTV Sindraca vs Lars 7–10 41.18%
TTV Sindraca vs Raven 7–10 41.18%
TTV Sindraca vs Lidia 7–10 41.18%
TTV Sindraca vs Claudio 7–9 43.75%
TTV Sindraca vs Kuma 4–8 33.33%
TTV Sindraca vs Panda 4–8 33.33%
TTV Sindraca vs Zafina 2–8 20.00%
TTV Sindraca vs Shaheen 2–3 40.00%

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.