Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Appio vs Jin 24–25 48.98%
Appio vs Kazuya 27–15 64.29%
Appio vs Bryan 21–20 51.22%
Appio vs Hwoarang 23–15 60.53%
Appio vs Reina 14–17 45.16%
Appio vs King 13–16 44.83%
Appio vs Victor 11–14 44.00%
Appio vs Yoshimitsu 11–13 45.83%
Appio vs Devil Jin 10–14 41.67%
Appio vs Dragunov 12–11 52.17%
Appio vs Steve 13–8 61.90%
Appio vs Lili 12–8 60.00%
Appio vs Lee 10–8 55.56%
Appio vs Paul 6–11 35.29%
Appio vs Law 11–6 64.71%
Appio vs Xiaoyu 7–10 41.18%
Appio vs Lars 7–10 41.18%
Appio vs Alisa 6–9 40.00%
Appio vs Eddy 10–5 66.67%
Appio vs Claudio 7–6 53.85%
Appio vs Asuka 3–9 25.00%
Appio vs Feng 1–11 8.33%
Appio vs Nina 7–4 63.64%
Appio vs Jun 4–7 36.36%
Appio vs Leroy 2–6 25.00%
Appio vs Leo 3–4 42.86%
Appio vs Azucena 5–2 71.43%
Appio vs Kuma 2–3 40.00%
Appio vs Panda 1–3 25.00%
Appio vs Raven 2–2 50.00%
Appio vs Jack-8 0–3 0.00%
Appio vs Zafina 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.