Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ketamine mike vs Jin 26–20 56.52%
ketamine mike vs Kazuya 23–17 57.50%
ketamine mike vs King 17–11 60.71%
ketamine mike vs Yoshimitsu 16–12 57.14%
ketamine mike vs Reina 20–8 71.43%
ketamine mike vs Paul 13–12 52.00%
ketamine mike vs Hwoarang 9–13 40.91%
ketamine mike vs Steve 13–9 59.09%
ketamine mike vs Bryan 14–7 66.67%
ketamine mike vs Law 8–11 42.11%
ketamine mike vs Dragunov 12–7 63.16%
ketamine mike vs Lili 11–7 61.11%
ketamine mike vs Jun 14–4 77.78%
ketamine mike vs Asuka 7–9 43.75%
ketamine mike vs Devil Jin 6–10 37.50%
ketamine mike vs Raven 6–8 42.86%
ketamine mike vs Azucena 4–9 30.77%
ketamine mike vs Leroy 8–4 66.67%
ketamine mike vs Xiaoyu 4–6 40.00%
ketamine mike vs Feng 7–2 77.78%
ketamine mike vs Clive 4–5 44.44%
ketamine mike vs Jack-8 5–3 62.50%
ketamine mike vs Leo 2–6 25.00%
ketamine mike vs Lars 1–6 14.29%
ketamine mike vs Heihachi 4–3 57.14%
ketamine mike vs Alisa 3–3 50.00%
ketamine mike vs Victor 6–0 100.00%
ketamine mike vs Eddy 3–3 50.00%
ketamine mike vs Lidia 4–2 66.67%
ketamine mike vs Nina 3–2 60.00%
ketamine mike vs Shaheen 4–0 100.00%
ketamine mike vs Claudio 0–3 0.00%
ketamine mike vs Kuma 3–0 100.00%
ketamine mike vs Zafina 2–1 66.67%
ketamine mike vs Lee 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.