Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

induce vs Reina 11–15 42.31%
induce vs Jin 10–15 40.00%
induce vs Kazuya 13–9 59.09%
induce vs Dragunov 7–13 35.00%
induce vs Steve 7–12 36.84%
induce vs Hwoarang 10–8 55.56%
induce vs Clive 11–7 61.11%
induce vs Asuka 12–4 75.00%
induce vs Bryan 8–7 53.33%
induce vs Lee 7–7 50.00%
induce vs King 4–9 30.77%
induce vs Lili 4–8 33.33%
induce vs Azucena 4–7 36.36%
induce vs Eddy 6–5 54.55%
induce vs Kuma 5–5 50.00%
induce vs Lars 5–4 55.56%
induce vs Lidia 5–4 55.56%
induce vs Jack-8 4–4 50.00%
induce vs Paul 3–4 42.86%
induce vs Jun 6–1 85.71%
induce vs Yoshimitsu 4–2 66.67%
induce vs Claudio 3–3 50.00%
induce vs Victor 4–2 66.67%
induce vs Heihachi 4–2 66.67%
induce vs Law 2–3 40.00%
induce vs Feng 3–2 60.00%
induce vs Leo 4–1 80.00%
induce vs Raven 2–3 40.00%
induce vs Xiaoyu 2–2 50.00%
induce vs Nina 2–2 50.00%
induce vs Alisa 2–0 100.00%
induce vs Devil Jin 0–1 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.