Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Lost vs King 13–7 65.00%
Lost vs Jin 10–7 58.82%
Lost vs Reina 7–5 58.33%
Lost vs Kazuya 5–4 55.56%
Lost vs Feng 7–2 77.78%
Lost vs Leo 5–4 55.56%
Lost vs Lee 5–4 55.56%
Lost vs Azucena 5–4 55.56%
Lost vs Law 3–5 37.50%
Lost vs Dragunov 5–3 62.50%
Lost vs Armor King 7–1 87.50%
Lost vs Hwoarang 4–3 57.14%
Lost vs Xiaoyu 5–2 71.43%
Lost vs Steve 3–3 50.00%
Lost vs Kuma 6–0 100.00%
Lost vs Bryan 2–3 40.00%
Lost vs Clive 3–2 60.00%
Lost vs Paul 2–2 50.00%
Lost vs Asuka 2–2 50.00%
Lost vs Lars 2–2 50.00%
Lost vs Leroy 3–1 75.00%
Lost vs Jun 3–1 75.00%
Lost vs Eddy 1–3 25.00%
Lost vs Heihachi 3–1 75.00%
Lost vs Anna 4–0 100.00%
Lost vs Miary Zo 2–2 50.00%
Lost vs Yoshimitsu 2–1 66.67%
Lost vs Lili 2–1 66.67%
Lost vs Alisa 3–0 100.00%
Lost vs Fahkumram 1–2 33.33%
Lost vs Claudio 2–0 100.00%
Lost vs Victor 2–0 100.00%
Lost vs Nina 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.