Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

gurm vs King 11–10 52.38%
gurm vs Hwoarang 10–11 47.62%
gurm vs Kazuya 9–11 45.00%
gurm vs Steve 11–9 55.00%
gurm vs Reina 13–5 72.22%
gurm vs Paul 5–12 29.41%
gurm vs Jin 8–8 50.00%
gurm vs Law 6–6 50.00%
gurm vs Alisa 5–7 41.67%
gurm vs Xiaoyu 5–5 50.00%
gurm vs Lili 4–6 40.00%
gurm vs Claudio 3–7 30.00%
gurm vs Victor 7–3 70.00%
gurm vs Bryan 2–6 25.00%
gurm vs Leo 5–3 62.50%
gurm vs Azucena 3–5 37.50%
gurm vs Feng 3–3 50.00%
gurm vs Dragunov 2–4 33.33%
gurm vs Lee 4–2 66.67%
gurm vs Zafina 4–2 66.67%
gurm vs Leroy 1–5 16.67%
gurm vs Heihachi 2–4 33.33%
gurm vs Devil Jin 3–2 60.00%
gurm vs Yoshimitsu 2–2 50.00%
gurm vs Lars 3–1 75.00%
gurm vs Eddy 0–4 0.00%
gurm vs Lidia 4–0 100.00%
gurm vs Jack-8 2–1 66.67%
gurm vs Asuka 1–2 33.33%
gurm vs Raven 2–1 66.67%
gurm vs Shaheen 0–2 0.00%
gurm vs Nina 0–2 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.