Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

eu la nobila vs Reina 15–11 57.69%
eu la nobila vs Kazuya 5–15 25.00%
eu la nobila vs King 5–13 27.78%
eu la nobila vs Jin 4–11 26.67%
eu la nobila vs Bryan 5–7 41.67%
eu la nobila vs Law 4–4 50.00%
eu la nobila vs Eddy 2–6 25.00%
eu la nobila vs Steve 4–2 66.67%
eu la nobila vs Lili 2–4 33.33%
eu la nobila vs Leo 3–3 50.00%
eu la nobila vs Leroy 3–3 50.00%
eu la nobila vs Jun 1–5 16.67%
eu la nobila vs Yoshimitsu 2–3 40.00%
eu la nobila vs Alisa 0–4 0.00%
eu la nobila vs Victor 1–3 25.00%
eu la nobila vs Kuma 1–3 25.00%
eu la nobila vs Asuka 2–1 66.67%
eu la nobila vs Azucena 0–3 0.00%
eu la nobila vs Raven 1–2 33.33%
eu la nobila vs Paul 1–1 50.00%
eu la nobila vs Hwoarang 0–2 0.00%
eu la nobila vs Devil Jin 1–1 50.00%
eu la nobila vs Dragunov 0–2 0.00%
eu la nobila vs Lidia 2–0 100.00%
eu la nobila vs Xiaoyu 0–2 0.00%
eu la nobila vs Lars 1–0 100.00%
eu la nobila vs Shaheen 0–1 0.00%
eu la nobila vs Heihachi 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.