Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

pblc vs King 11–19 36.67%
pblc vs Hwoarang 17–7 70.83%
pblc vs Reina 16–7 69.57%
pblc vs Kazuya 7–13 35.00%
pblc vs Bryan 10–9 52.63%
pblc vs Jin 2–14 12.50%
pblc vs Eddy 9–4 69.23%
pblc vs Paul 8–4 66.67%
pblc vs Dragunov 6–6 50.00%
pblc vs Steve 5–6 45.45%
pblc vs Asuka 4–6 40.00%
pblc vs Leo 3–7 30.00%
pblc vs Lee 2–7 22.22%
pblc vs Jun 5–4 55.56%
pblc vs Yoshimitsu 4–4 50.00%
pblc vs Lidia 3–5 37.50%
pblc vs Lili 5–2 71.43%
pblc vs Lars 4–3 57.14%
pblc vs Victor 2–5 28.57%
pblc vs Law 3–3 50.00%
pblc vs Xiaoyu 2–4 33.33%
pblc vs Devil Jin 3–3 50.00%
pblc vs Feng 1–5 16.67%
pblc vs Leroy 4–2 66.67%
pblc vs Jack-8 1–4 20.00%
pblc vs Alisa 3–2 60.00%
pblc vs Nina 2–3 40.00%
pblc vs Kuma 1–4 20.00%
pblc vs Azucena 1–4 20.00%
pblc vs Claudio 1–3 25.00%
pblc vs Raven 1–3 25.00%
pblc vs Panda 1–2 33.33%
pblc vs Shaheen 1–0 100.00%
pblc vs Zafina 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.