Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

shade vs King 24–16 60.00%
shade vs Jin 17–16 51.52%
shade vs Kazuya 20–12 62.50%
shade vs Reina 15–15 50.00%
shade vs Hwoarang 12–12 50.00%
shade vs Paul 15–8 65.22%
shade vs Nina 18–5 78.26%
shade vs Bryan 15–7 68.18%
shade vs Law 14–7 66.67%
shade vs Dragunov 11–10 52.38%
shade vs Eddy 14–5 73.68%
shade vs Yoshimitsu 13–4 76.47%
shade vs Xiaoyu 11–5 68.75%
shade vs Lars 12–4 75.00%
shade vs Raven 8–8 50.00%
shade vs Jack-8 11–4 73.33%
shade vs Jun 10–5 66.67%
shade vs Azucena 10–4 71.43%
shade vs Lili 10–3 76.92%
shade vs Leo 10–2 83.33%
shade vs Claudio 6–6 50.00%
shade vs Lee 5–7 41.67%
shade vs Steve 6–5 54.55%
shade vs Devil Jin 8–2 80.00%
shade vs Victor 4–4 50.00%
shade vs Asuka 2–5 28.57%
shade vs Leroy 4–3 57.14%
shade vs Feng 4–2 66.67%
shade vs Zafina 3–3 50.00%
shade vs Shaheen 2–2 50.00%
shade vs Kuma 2–1 66.67%
shade vs Panda 1–2 33.33%
shade vs Alisa 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.