Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

AccelNY vs Lidia 38–38 50.00%
AccelNY vs Kazuya 22–20 52.38%
AccelNY vs Jin 19–20 48.72%
AccelNY vs Reina 21–13 61.76%
AccelNY vs Lars 15–15 50.00%
AccelNY vs King 15–13 53.57%
AccelNY vs Feng 11–15 42.31%
AccelNY vs Azucena 13–7 65.00%
AccelNY vs Paul 8–11 42.11%
AccelNY vs Nina 12–7 63.16%
AccelNY vs Law 9–9 50.00%
AccelNY vs Yoshimitsu 8–10 44.44%
AccelNY vs Asuka 11–7 61.11%
AccelNY vs Lili 8–7 53.33%
AccelNY vs Hwoarang 8–6 57.14%
AccelNY vs Leo 10–3 76.92%
AccelNY vs Jun 7–6 53.85%
AccelNY vs Victor 8–5 61.54%
AccelNY vs Raven 3–10 23.08%
AccelNY vs Bryan 8–4 66.67%
AccelNY vs Dragunov 6–6 50.00%
AccelNY vs Claudio 5–7 41.67%
AccelNY vs Eddy 4–8 33.33%
AccelNY vs Lee 6–5 54.55%
AccelNY vs Jack-8 4–5 44.44%
AccelNY vs Steve 5–2 71.43%
AccelNY vs Devil Jin 2–5 28.57%
AccelNY vs Xiaoyu 3–2 60.00%
AccelNY vs Alisa 4–1 80.00%
AccelNY vs Shaheen 0–4 0.00%
AccelNY vs Kuma 1–2 33.33%
AccelNY vs Zafina 0–3 0.00%
AccelNY vs Leroy 2–1 66.67%
AccelNY vs Panda 2–0 100.00%
AccelNY vs Heihachi 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.