Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

MONO
Jion
Retro
Kowloon
Kowloon`s gate
snowgate
MONO vs Lidia 12–8 60.00%
MONO vs King 9–9 50.00%
MONO vs Eddy 13–5 72.22%
MONO vs Reina 10–6 62.50%
MONO vs Jun 6–4 60.00%
MONO vs Lili 6–3 66.67%
MONO vs Nina 5–4 55.56%
MONO vs Xiaoyu 7–1 87.50%
MONO vs Steve 5–2 71.43%
MONO vs Asuka 5–2 71.43%
MONO vs Paul 4–2 66.67%
MONO vs Hwoarang 4–2 66.67%
MONO vs Bryan 3–3 50.00%
MONO vs Kazuya 3–3 50.00%
MONO vs Jack-8 4–2 66.67%
MONO vs Devil Jin 4–2 66.67%
MONO vs Feng 4–1 80.00%
MONO vs Leo 3–2 60.00%
MONO vs Lee 5–0 100.00%
MONO vs Yoshimitsu 2–2 50.00%
MONO vs Alisa 1–3 25.00%
MONO vs Claudio 2–2 50.00%
MONO vs Azucena 1–3 25.00%
MONO vs Jin 1–2 33.33%
MONO vs Dragunov 1–2 33.33%
MONO vs Shaheen 2–1 66.67%
MONO vs Zafina 1–2 33.33%
MONO vs Leroy 3–0 100.00%
MONO vs Heihachi 1–2 33.33%
MONO vs Law 2–0 100.00%
MONO vs Raven 1–1 50.00%
MONO vs Panda 0–1 0.00%
MONO vs Clive 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.