Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
xMr.Hurtx

Ratings

xMr.Hurtx vs Kazuya 27–26 50.94%
xMr.Hurtx vs Jin 23–22 51.11%
xMr.Hurtx vs Bryan 14–24 36.84%
xMr.Hurtx vs Reina 21–16 56.76%
xMr.Hurtx vs King 23–12 65.71%
xMr.Hurtx vs Azucena 15–13 53.57%
xMr.Hurtx vs Eddy 9–18 33.33%
xMr.Hurtx vs Steve 10–16 38.46%
xMr.Hurtx vs Paul 7–18 28.00%
xMr.Hurtx vs Devil Jin 12–13 48.00%
xMr.Hurtx vs Asuka 8–9 47.06%
xMr.Hurtx vs Law 11–5 68.75%
xMr.Hurtx vs Lili 8–8 50.00%
xMr.Hurtx vs Lars 7–9 43.75%
xMr.Hurtx vs Lidia 10–6 62.50%
xMr.Hurtx vs Yoshimitsu 6–9 40.00%
xMr.Hurtx vs Hwoarang 6–9 40.00%
xMr.Hurtx vs Victor 5–8 38.46%
xMr.Hurtx vs Heihachi 7–6 53.85%
xMr.Hurtx vs Jack-8 5–7 41.67%
xMr.Hurtx vs Claudio 5–7 41.67%
xMr.Hurtx vs Raven 5–7 41.67%
xMr.Hurtx vs Dragunov 8–3 72.73%
xMr.Hurtx vs Jun 5–6 45.45%
xMr.Hurtx vs Lee 5–4 55.56%
xMr.Hurtx vs Kuma 1–8 11.11%
xMr.Hurtx vs Zafina 4–5 44.44%
xMr.Hurtx vs Clive 5–4 55.56%
xMr.Hurtx vs Fahkumram 3–5 37.50%
xMr.Hurtx vs Xiaoyu 4–3 57.14%
xMr.Hurtx vs Feng 3–4 42.86%
xMr.Hurtx vs Nina 3–4 42.86%
xMr.Hurtx vs Miary Zo 4–3 57.14%
xMr.Hurtx vs Alisa 0–5 0.00%
xMr.Hurtx vs Armor King 2–3 40.00%
xMr.Hurtx vs Panda 2–2 50.00%
xMr.Hurtx vs Leo 2–1 66.67%
xMr.Hurtx vs Shaheen 1–2 33.33%
xMr.Hurtx vs Leroy 2–1 66.67%
xMr.Hurtx vs Anna 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.