Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

proxecs vs Miary Zo 17–13 56.67%
proxecs vs Kazuya 16–12 57.14%
proxecs vs Jin 10–10 50.00%
proxecs vs Reina 12–5 70.59%
proxecs vs Dragunov 7–8 46.67%
proxecs vs King 4–10 28.57%
proxecs vs Asuka 8–6 57.14%
proxecs vs Armor King 7–7 50.00%
proxecs vs Victor 5–6 45.45%
proxecs vs Bryan 4–6 40.00%
proxecs vs Law 4–5 44.44%
proxecs vs Alisa 4–5 44.44%
proxecs vs Steve 3–5 37.50%
proxecs vs Paul 1–6 14.29%
proxecs vs Lili 3–4 42.86%
proxecs vs Hwoarang 3–3 50.00%
proxecs vs Panda 2–4 33.33%
proxecs vs Lars 2–2 50.00%
proxecs vs Kuma 1–2 33.33%
proxecs vs Azucena 1–2 33.33%
proxecs vs Xiaoyu 0–2 0.00%
proxecs vs Jack-8 0–2 0.00%
proxecs vs Devil Jin 0–2 0.00%
proxecs vs Claudio 2–0 100.00%
proxecs vs Clive 0–2 0.00%
proxecs vs Anna 0–2 0.00%
proxecs vs Fahkumram 0–2 0.00%
proxecs vs Zafina 0–1 0.00%
proxecs vs Raven 0–1 0.00%
proxecs vs Eddy 0–1 0.00%
proxecs 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.