Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Maple vs Reina 16–12 57.14%
Maple vs Paul 17–8 68.00%
Maple vs Asuka 18–6 75.00%
Maple vs King 9–10 47.37%
Maple vs Alisa 14–5 73.68%
Maple vs Jun 11–8 57.89%
Maple vs Hwoarang 10–8 55.56%
Maple vs Kazuya 9–9 50.00%
Maple vs Bryan 8–8 50.00%
Maple vs Xiaoyu 6–9 40.00%
Maple vs Lili 10–5 66.67%
Maple vs Jin 8–4 66.67%
Maple vs Yoshimitsu 6–5 54.55%
Maple vs Dragunov 4–7 36.36%
Maple vs Steve 6–4 60.00%
Maple vs Feng 6–4 60.00%
Maple vs Victor 9–1 90.00%
Maple vs Eddy 6–4 60.00%
Maple vs Lars 5–4 55.56%
Maple vs Leo 2–4 33.33%
Maple vs Shaheen 2–4 33.33%
Maple vs Azucena 1–4 20.00%
Maple vs Devil Jin 2–2 50.00%
Maple vs Claudio 3–1 75.00%
Maple vs Nina 1–3 25.00%
Maple vs Kuma 3–1 75.00%
Maple vs Law 2–1 66.67%
Maple vs Lee 2–1 66.67%
Maple vs Jack-8 0–2 0.00%
Maple vs Panda 1–1 50.00%
Maple vs Zafina 0–2 0.00%
Maple vs Raven 0–2 0.00%
Maple vs Leroy 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.