Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mae-Rutherford vs Reina 21–5 80.77%
Mae-Rutherford vs Victor 15–6 71.43%
Mae-Rutherford vs King 12–6 66.67%
Mae-Rutherford vs Dragunov 10–8 55.56%
Mae-Rutherford vs Hwoarang 10–4 71.43%
Mae-Rutherford vs Jin 9–4 69.23%
Mae-Rutherford vs Devil Jin 8–3 72.73%
Mae-Rutherford vs Law 4–6 40.00%
Mae-Rutherford vs Alisa 4–4 50.00%
Mae-Rutherford vs Lars 4–3 57.14%
Mae-Rutherford vs Shaheen 4–3 57.14%
Mae-Rutherford vs Yoshimitsu 4–2 66.67%
Mae-Rutherford vs Steve 3–3 50.00%
Mae-Rutherford vs Lili 4–2 66.67%
Mae-Rutherford vs Bryan 3–2 60.00%
Mae-Rutherford vs Kazuya 3–2 60.00%
Mae-Rutherford vs Jun 2–3 40.00%
Mae-Rutherford vs Eddy 1–4 20.00%
Mae-Rutherford vs Lidia 5–0 100.00%
Mae-Rutherford vs Paul 2–2 50.00%
Mae-Rutherford vs Jack-8 2–2 50.00%
Mae-Rutherford vs Clive 3–1 75.00%
Mae-Rutherford vs Xiaoyu 2–1 66.67%
Mae-Rutherford vs Claudio 3–0 100.00%
Mae-Rutherford vs Lee 1–2 33.33%
Mae-Rutherford vs Azucena 2–1 66.67%
Mae-Rutherford vs Fahkumram 1–2 33.33%
Mae-Rutherford vs Nina 2–0 100.00%
Mae-Rutherford vs Kuma 0–2 0.00%
Mae-Rutherford vs Panda 2–0 100.00%
Mae-Rutherford vs Leroy 0–2 0.00%
Mae-Rutherford vs Heihachi 0–2 0.00%
Mae-Rutherford vs Miary Zo 2–0 100.00%
Mae-Rutherford vs Asuka 1–0 100.00%
Mae-Rutherford vs Leo 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.