Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Stacks3000

Ratings

Stacks3000 vs Armor King 15–12 55.56%
Stacks3000 vs Bryan 18–5 78.26%
Stacks3000 vs Kazuya 16–7 69.57%
Stacks3000 vs Law 11–9 55.00%
Stacks3000 vs Steve 11–8 57.89%
Stacks3000 vs Dragunov 3–16 15.79%
Stacks3000 vs Jin 9–9 50.00%
Stacks3000 vs Jun 11–6 64.71%
Stacks3000 vs Paul 8–7 53.33%
Stacks3000 vs Azucena 5–10 33.33%
Stacks3000 vs Yoshimitsu 7–7 50.00%
Stacks3000 vs Lili 11–3 78.57%
Stacks3000 vs King 3–10 23.08%
Stacks3000 vs Lidia 10–3 76.92%
Stacks3000 vs Hwoarang 8–4 66.67%
Stacks3000 vs Asuka 7–4 63.64%
Stacks3000 vs Shaheen 7–4 63.64%
Stacks3000 vs Eddy 7–4 63.64%
Stacks3000 vs Clive 3–8 27.27%
Stacks3000 vs Fahkumram 8–3 72.73%
Stacks3000 vs Lars 4–6 40.00%
Stacks3000 vs Jack-8 4–5 44.44%
Stacks3000 vs Lee 6–3 66.67%
Stacks3000 vs Reina 4–3 57.14%
Stacks3000 vs Miary Zo 5–2 71.43%
Stacks3000 vs Devil Jin 2–4 33.33%
Stacks3000 vs Feng 1–5 16.67%
Stacks3000 vs Leo 0–6 0.00%
Stacks3000 vs Leroy 2–4 33.33%
Stacks3000 vs Victor 0–6 0.00%
Stacks3000 vs Heihachi 4–2 66.67%
Stacks3000 vs Anna 3–3 50.00%
Stacks3000 vs Xiaoyu 1–4 20.00%
Stacks3000 vs Alisa 2–3 40.00%
Stacks3000 vs Nina 1–4 20.00%
Stacks3000 vs Claudio 0–3 0.00%
Stacks3000 vs Panda 1–2 33.33%
Stacks3000 vs Zafina 0–2 0.00%
Stacks3000 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.