Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Reward vs Steve 6–34 15.00%
Reward vs Reina 6–33 15.38%
Reward vs King 10–20 33.33%
Reward vs Eddy 0–26 0.00%
Reward vs Jin 3–21 12.50%
Reward vs Lili 8–12 40.00%
Reward vs Kazuya 6–13 31.58%
Reward vs Azucena 6–13 31.58%
Reward vs Asuka 9–9 50.00%
Reward vs Law 6–11 35.29%
Reward vs Bryan 3–14 17.65%
Reward vs Devil Jin 4–12 25.00%
Reward vs Victor 3–13 18.75%
Reward vs Heihachi 3–13 18.75%
Reward vs Hwoarang 2–13 13.33%
Reward vs Jun 2–13 13.33%
Reward vs Feng 1–13 7.14%
Reward vs Dragunov 2–12 14.29%
Reward vs Xiaoyu 5–8 38.46%
Reward vs Alisa 3–9 25.00%
Reward vs Lee 5–7 41.67%
Reward vs Clive 2–10 16.67%
Reward vs Lars 5–6 45.45%
Reward vs Lidia 4–7 36.36%
Reward vs Paul 0–10 0.00%
Reward vs Yoshimitsu 5–4 55.56%
Reward vs Nina 3–6 33.33%
Reward vs Leo 1–6 14.29%
Reward vs Jack-8 0–6 0.00%
Reward vs Leroy 2–4 33.33%
Reward vs Claudio 1–4 20.00%
Reward vs Zafina 0–4 0.00%
Reward vs Kuma 2–1 66.67%
Reward vs Shaheen 1–1 50.00%
Reward vs Raven 0–2 0.00%
Reward vs Anna 0–2 0.00%
Reward vs Fahkumram 2–0 100.00%
Reward vs Panda 0–1 0.00%
Reward vs Armor King 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.