Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

RoamingIn vs Kazuya 15–17 46.88%
RoamingIn vs Jun 8–15 34.78%
RoamingIn vs Reina 17–6 73.91%
RoamingIn vs Jin 10–11 47.62%
RoamingIn vs Bryan 15–6 71.43%
RoamingIn vs King 8–6 57.14%
RoamingIn vs Lili 7–6 53.85%
RoamingIn vs Dragunov 8–4 66.67%
RoamingIn vs Steve 7–4 63.64%
RoamingIn vs Leroy 6–5 54.55%
RoamingIn vs Victor 9–1 90.00%
RoamingIn vs Paul 5–4 55.56%
RoamingIn vs Alisa 4–5 44.44%
RoamingIn vs Azucena 5–4 55.56%
RoamingIn vs Xiaoyu 2–5 28.57%
RoamingIn vs Lars 4–3 57.14%
RoamingIn vs Heihachi 3–4 42.86%
RoamingIn vs Devil Jin 4–2 66.67%
RoamingIn vs Leo 2–4 33.33%
RoamingIn vs Claudio 2–4 33.33%
RoamingIn vs Nina 3–3 50.00%
RoamingIn vs Eddy 5–1 83.33%
RoamingIn vs Hwoarang 3–2 60.00%
RoamingIn vs Asuka 0–4 0.00%
RoamingIn vs Feng 0–4 0.00%
RoamingIn vs Lee 2–1 66.67%
RoamingIn vs Law 0–2 0.00%
RoamingIn vs Kuma 2–0 100.00%
RoamingIn vs Raven 2–0 100.00%
RoamingIn vs Anna 0–2 0.00%
RoamingIn vs Jack-8 1–0 100.00%
RoamingIn 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.