Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Professeur vs Jin 14–9 60.87%
Professeur vs Eddy 8–15 34.78%
Professeur vs Victor 10–4 71.43%
Professeur vs Reina 7–6 53.85%
Professeur vs King 6–5 54.55%
Professeur vs Yoshimitsu 7–4 63.64%
Professeur vs Azucena 5–5 50.00%
Professeur vs Kazuya 4–5 44.44%
Professeur vs Hwoarang 3–5 37.50%
Professeur vs Devil Jin 3–4 42.86%
Professeur vs Paul 0–6 0.00%
Professeur vs Xiaoyu 6–0 100.00%
Professeur vs Bryan 1–5 16.67%
Professeur vs Claudio 2–3 40.00%
Professeur vs Lee 3–2 60.00%
Professeur vs Law 3–1 75.00%
Professeur vs Dragunov 0–4 0.00%
Professeur vs Kuma 0–4 0.00%
Professeur vs Leroy 2–2 50.00%
Professeur vs Steve 2–1 66.67%
Professeur vs Lili 1–2 33.33%
Professeur vs Leo 1–2 33.33%
Professeur vs Lars 2–1 66.67%
Professeur vs Alisa 2–1 66.67%
Professeur vs Nina 1–2 33.33%
Professeur vs Asuka 0–2 0.00%
Professeur vs Panda 0–2 0.00%
Professeur vs Lidia 2–0 100.00%
Professeur vs Feng 0–1 0.00%
Professeur vs Jun 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.