Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

we_in_ny vs Clive 30–19 61.22%
we_in_ny vs Reina 9–18 33.33%
we_in_ny vs Law 14–10 58.33%
we_in_ny vs Jin 14–9 60.87%
we_in_ny vs Heihachi 15–6 71.43%
we_in_ny vs King 11–8 57.89%
we_in_ny vs Yoshimitsu 13–6 68.42%
we_in_ny vs Kazuya 15–3 83.33%
we_in_ny vs Steve 6–11 35.29%
we_in_ny vs Lili 11–6 64.71%
we_in_ny vs Lee 10–3 76.92%
we_in_ny vs Lars 5–7 41.67%
we_in_ny vs Hwoarang 4–6 40.00%
we_in_ny vs Bryan 5–4 55.56%
we_in_ny vs Feng 5–4 55.56%
we_in_ny vs Leo 4–5 44.44%
we_in_ny vs Nina 4–4 50.00%
we_in_ny vs Zafina 4–4 50.00%
we_in_ny vs Asuka 4–3 57.14%
we_in_ny vs Dragunov 4–3 57.14%
we_in_ny vs Jun 6–1 85.71%
we_in_ny vs Raven 5–2 71.43%
we_in_ny vs Eddy 3–4 42.86%
we_in_ny vs Leroy 5–1 83.33%
we_in_ny vs Devil Jin 4–1 80.00%
we_in_ny vs Azucena 3–2 60.00%
we_in_ny vs Paul 2–2 50.00%
we_in_ny vs Xiaoyu 3–1 75.00%
we_in_ny vs Alisa 1–3 25.00%
we_in_ny vs Claudio 3–1 75.00%
we_in_ny vs Shaheen 1–2 33.33%
we_in_ny vs Kuma 2–1 66.67%
we_in_ny vs Jack-8 0–2 0.00%
we_in_ny vs Victor 2–0 100.00%
we_in_ny vs Lidia 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.