Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Buster Rhymes vs King 8–18 30.77%
Buster Rhymes vs Steve 8–15 34.78%
Buster Rhymes vs Armor King 12–10 54.55%
Buster Rhymes vs Jin 9–12 42.86%
Buster Rhymes vs Kazuya 7–12 36.84%
Buster Rhymes vs Reina 12–7 63.16%
Buster Rhymes vs Lili 7–10 41.18%
Buster Rhymes vs Asuka 9–6 60.00%
Buster Rhymes vs Lidia 7–6 53.85%
Buster Rhymes vs Fahkumram 4–7 36.36%
Buster Rhymes vs Paul 6–4 60.00%
Buster Rhymes vs Devil Jin 4–6 40.00%
Buster Rhymes vs Dragunov 6–4 60.00%
Buster Rhymes vs Shaheen 3–7 30.00%
Buster Rhymes vs Jun 3–7 30.00%
Buster Rhymes vs Clive 3–7 30.00%
Buster Rhymes vs Bryan 6–2 75.00%
Buster Rhymes vs Azucena 4–4 50.00%
Buster Rhymes vs Heihachi 6–2 75.00%
Buster Rhymes vs Hwoarang 3–4 42.86%
Buster Rhymes vs Nina 4–3 57.14%
Buster Rhymes vs Victor 3–4 42.86%
Buster Rhymes vs Claudio 3–3 50.00%
Buster Rhymes vs Lee 4–2 66.67%
Buster Rhymes vs Law 1–4 20.00%
Buster Rhymes vs Yoshimitsu 1–4 20.00%
Buster Rhymes vs Xiaoyu 3–1 75.00%
Buster Rhymes vs Feng 3–1 75.00%
Buster Rhymes vs Anna 1–3 25.00%
Buster Rhymes vs Jack-8 1–2 33.33%
Buster Rhymes vs Lars 3–0 100.00%
Buster Rhymes vs Leroy 1–2 33.33%
Buster Rhymes vs Alisa 1–1 50.00%
Buster Rhymes vs Kuma 0–2 0.00%
Buster Rhymes vs Eddy 0–2 0.00%
Buster Rhymes vs Raven 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.