Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

praise vs King 10–6 62.50%
praise vs Asuka 11–4 73.33%
praise vs Yoshimitsu 10–3 76.92%
praise vs Dragunov 7–6 53.85%
praise vs Jun 4–9 30.77%
praise vs Clive 10–3 76.92%
praise vs Jin 4–8 33.33%
praise vs Bryan 7–5 58.33%
praise vs Reina 9–3 75.00%
praise vs Law 8–3 72.73%
praise vs Eddy 4–7 36.36%
praise vs Nina 7–2 77.78%
praise vs Lee 5–4 55.56%
praise vs Kazuya 4–4 50.00%
praise vs Lidia 8–0 100.00%
praise vs Lili 3–4 42.86%
praise vs Leroy 5–1 83.33%
praise vs Heihachi 5–1 83.33%
praise vs Xiaoyu 4–1 80.00%
praise vs Victor 4–1 80.00%
praise vs Paul 2–2 50.00%
praise vs Lars 2–2 50.00%
praise vs Hwoarang 3–0 100.00%
praise vs Steve 2–1 66.67%
praise vs Feng 3–0 100.00%
praise vs Leo 0–2 0.00%
praise vs Zafina 0–2 0.00%
praise vs Azucena 0–2 0.00%
praise vs Raven 0–2 0.00%
praise vs Devil Jin 1–0 100.00%
praise vs Alisa 0–1 0.00%
praise vs Kuma 1–0 100.00%

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.