Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

datickler vs King 16–16 50.00%
datickler vs Eddy 7–15 31.82%
datickler vs Reina 16–5 76.19%
datickler vs Kazuya 8–12 40.00%
datickler vs Dragunov 9–9 50.00%
datickler vs Jun 7–9 43.75%
datickler vs Feng 7–7 50.00%
datickler vs Lili 7–7 50.00%
datickler vs Yoshimitsu 6–5 54.55%
datickler vs Hwoarang 4–7 36.36%
datickler vs Lars 0–11 0.00%
datickler vs Victor 3–8 27.27%
datickler vs Xiaoyu 7–3 70.00%
datickler vs Paul 5–4 55.56%
datickler vs Law 4–5 44.44%
datickler vs Bryan 5–4 55.56%
datickler vs Azucena 4–4 50.00%
datickler vs Jin 4–3 57.14%
datickler vs Kuma 2–4 33.33%
datickler vs Steve 1–4 20.00%
datickler vs Asuka 0–5 0.00%
datickler vs Lee 0–5 0.00%
datickler vs Alisa 3–1 75.00%
datickler vs Devil Jin 1–2 33.33%
datickler vs Leo 0–3 0.00%
datickler vs Claudio 2–1 66.67%
datickler vs Nina 1–2 33.33%
datickler vs Panda 0–2 0.00%
datickler vs Leroy 2–0 100.00%
datickler vs Raven 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.