Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Goatedkillr vs Kazuya 24–18 57.14%
Goatedkillr vs Steve 26–10 72.22%
Goatedkillr vs Dragunov 20–15 57.14%
Goatedkillr vs Jin 23–11 67.65%
Goatedkillr vs Law 19–12 61.29%
Goatedkillr vs Hwoarang 16–5 76.19%
Goatedkillr vs King 16–4 80.00%
Goatedkillr vs Bryan 9–11 45.00%
Goatedkillr vs Paul 12–7 63.16%
Goatedkillr vs Lidia 12–4 75.00%
Goatedkillr vs Lee 7–6 53.85%
Goatedkillr vs Reina 10–2 83.33%
Goatedkillr vs Heihachi 5–7 41.67%
Goatedkillr vs Miary Zo 7–4 63.64%
Goatedkillr vs Eddy 7–3 70.00%
Goatedkillr vs Yoshimitsu 3–5 37.50%
Goatedkillr vs Devil Jin 6–2 75.00%
Goatedkillr vs Lars 6–2 75.00%
Goatedkillr vs Clive 4–4 50.00%
Goatedkillr vs Lili 4–3 57.14%
Goatedkillr vs Alisa 4–3 57.14%
Goatedkillr vs Zafina 5–2 71.43%
Goatedkillr vs Leroy 4–2 66.67%
Goatedkillr vs Jun 4–2 66.67%
Goatedkillr vs Fahkumram 1–5 16.67%
Goatedkillr vs Asuka 3–1 75.00%
Goatedkillr vs Feng 4–0 100.00%
Goatedkillr vs Leo 3–1 75.00%
Goatedkillr vs Victor 1–3 25.00%
Goatedkillr vs Anna 3–0 100.00%
Goatedkillr vs Jack-8 1–1 50.00%
Goatedkillr vs Claudio 0–2 0.00%
Goatedkillr vs Panda 2–0 100.00%
Goatedkillr vs Armor King 2–0 100.00%
Goatedkillr vs Xiaoyu 0–1 0.00%
Goatedkillr vs Nina 0–1 0.00%
Goatedkillr vs Kuma 0–1 0.00%
Goatedkillr vs Azucena 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.