Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Learning vs Jin 18–14 56.25%
Learning vs Kazuya 18–9 66.67%
Learning vs Dragunov 14–12 53.85%
Learning vs Hwoarang 11–14 44.00%
Learning vs King 12–12 50.00%
Learning vs Bryan 15–9 62.50%
Learning vs Reina 13–9 59.09%
Learning vs Lee 10–9 52.63%
Learning vs Steve 11–5 68.75%
Learning vs Leo 8–7 53.33%
Learning vs Lili 6–8 42.86%
Learning vs Jun 10–4 71.43%
Learning vs Yoshimitsu 5–8 38.46%
Learning vs Jack-8 6–7 46.15%
Learning vs Claudio 9–4 69.23%
Learning vs Eddy 5–7 41.67%
Learning vs Shaheen 7–4 63.64%
Learning vs Victor 5–6 45.45%
Learning vs Raven 5–6 45.45%
Learning vs Law 5–5 50.00%
Learning vs Heihachi 3–7 30.00%
Learning vs Paul 6–3 66.67%
Learning vs Lidia 5–4 55.56%
Learning vs Asuka 2–6 25.00%
Learning vs Alisa 4–4 50.00%
Learning vs Xiaoyu 2–5 28.57%
Learning vs Devil Jin 1–4–1 20.00%
Learning vs Feng 5–1 83.33%
Learning vs Nina 3–3 50.00%
Learning vs Azucena 5–1 83.33%
Learning vs Leroy 3–2 60.00%
Learning vs Lars 2–1 66.67%
Learning vs Zafina 1–2 33.33%
Learning vs Kuma 1–1 50.00%
Learning vs Panda 2–0 100.00%

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.