Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Chair Tech vs Reina 25–22 53.19%
Chair Tech vs Eddy 14–23 37.84%
Chair Tech vs Law 7–17 29.17%
Chair Tech vs Hwoarang 9–9 50.00%
Chair Tech vs Jin 7–11 38.89%
Chair Tech vs Jun 10–8 55.56%
Chair Tech vs King 7–10 41.18%
Chair Tech vs Lars 10–6 62.50%
Chair Tech vs Azucena 9–7 56.25%
Chair Tech vs Victor 5–9 35.71%
Chair Tech vs Asuka 3–10 23.08%
Chair Tech vs Xiaoyu 7–5 58.33%
Chair Tech vs Lili 5–6 45.45%
Chair Tech vs Kazuya 5–5 50.00%
Chair Tech vs Steve 6–4 60.00%
Chair Tech vs Dragunov 3–6 33.33%
Chair Tech vs Nina 4–5 44.44%
Chair Tech vs Leo 5–3 62.50%
Chair Tech vs Paul 1–6 14.29%
Chair Tech vs Jack-8 3–3 50.00%
Chair Tech vs Feng 3–3 50.00%
Chair Tech vs Lee 1–5 16.67%
Chair Tech vs Kuma 2–4 33.33%
Chair Tech vs Claudio 3–2 60.00%
Chair Tech vs Leroy 3–2 60.00%
Chair Tech vs Raven 1–4 20.00%
Chair Tech vs Yoshimitsu 4–0 100.00%
Chair Tech vs Bryan 1–2 33.33%
Chair Tech vs Alisa 1–2 33.33%
Chair Tech vs Zafina 1–2 33.33%
Chair Tech vs Shaheen 0–2 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.