Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

parkstar vs Reina 23–5 82.14%
parkstar vs Paul 13–14 48.15%
parkstar vs Kazuya 14–13 51.85%
parkstar vs King 13–12 52.00%
parkstar vs Hwoarang 10–11 47.62%
parkstar vs Bryan 11–10 52.38%
parkstar vs Dragunov 10–11 47.62%
parkstar vs Victor 10–8 55.56%
parkstar vs Law 8–8 50.00%
parkstar vs Asuka 11–4 73.33%
parkstar vs Jin 7–6 53.85%
parkstar vs Steve 5–6 45.45%
parkstar vs Leroy 5–6 45.45%
parkstar vs Xiaoyu 2–6 25.00%
parkstar vs Jack-8 4–4 50.00%
parkstar vs Lili 3–5 37.50%
parkstar vs Yoshimitsu 5–2 71.43%
parkstar vs Feng 5–2 71.43%
parkstar vs Kuma 4–3 57.14%
parkstar vs Lee 2–4 33.33%
parkstar vs Leo 3–2 60.00%
parkstar vs Lars 3–2 60.00%
parkstar vs Azucena 2–3 40.00%
parkstar vs Devil Jin 4–0 100.00%
parkstar vs Claudio 3–0 100.00%
parkstar vs Eddy 0–3 0.00%
parkstar vs Lidia 2–1 66.67%
parkstar vs Alisa 1–1 50.00%
parkstar vs Nina 2–0 100.00%
parkstar vs Zafina 2–0 100.00%
parkstar vs Shaheen 0–1 0.00%
parkstar vs Jun 1–0 100.00%
parkstar vs Raven 1–0 100.00%
parkstar 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.