Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
lovelyendi

Ratings

lovelyendi vs Reina 14–18 43.75%
lovelyendi vs Hwoarang 9–19 32.14%
lovelyendi vs Heihachi 7–18 28.00%
lovelyendi vs King 4–19 17.39%
lovelyendi vs Victor 2–13 13.33%
lovelyendi vs Law 0–14 0.00%
lovelyendi vs Jin 1–13 7.14%
lovelyendi vs Dragunov 5–9 35.71%
lovelyendi vs Lili 5–8 38.46%
lovelyendi vs Paul 5–5 50.00%
lovelyendi vs Bryan 3–6 33.33%
lovelyendi vs Kazuya 0–9 0.00%
lovelyendi vs Yoshimitsu 4–4 50.00%
lovelyendi vs Steve 0–8 0.00%
lovelyendi vs Nina 0–8 0.00%
lovelyendi vs Zafina 2–5 28.57%
lovelyendi vs Leroy 2–5 28.57%
lovelyendi vs Lars 1–5 16.67%
lovelyendi vs Azucena 2–4 33.33%
lovelyendi vs Eddy 1–5 16.67%
lovelyendi vs Lidia 1–5 16.67%
lovelyendi vs Alisa 0–5 0.00%
lovelyendi vs Xiaoyu 2–2 50.00%
lovelyendi vs Asuka 1–3 25.00%
lovelyendi vs Shaheen 0–4 0.00%
lovelyendi vs Jun 1–3 25.00%
lovelyendi vs Devil Jin 0–3 0.00%
lovelyendi vs Leo 0–3 0.00%
lovelyendi vs Feng 0–2 0.00%
lovelyendi vs Claudio 0–2 0.00%
lovelyendi vs Lee 0–2 0.00%
lovelyendi vs Clive 0–2 0.00%
lovelyendi vs Raven 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.