Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

ak_ken809 vs Kazuya 18–20 47.37%
ak_ken809 vs Jin 14–21 40.00%
ak_ken809 vs Miary Zo 19–16 54.29%
ak_ken809 vs Reina 22–10 68.75%
ak_ken809 vs Azucena 13–17 43.33%
ak_ken809 vs Steve 16–12 57.14%
ak_ken809 vs Bryan 12–14 46.15%
ak_ken809 vs King 14–10 58.33%
ak_ken809 vs Lee 15–9 62.50%
ak_ken809 vs Heihachi 8–16 33.33%
ak_ken809 vs Armor King 11–9 55.00%
ak_ken809 vs Hwoarang 10–9 52.63%
ak_ken809 vs Law 7–11 38.89%
ak_ken809 vs Leo 7–10 41.18%
ak_ken809 vs Lars 8–9 47.06%
ak_ken809 vs Victor 11–6 64.71%
ak_ken809 vs Asuka 9–6 60.00%
ak_ken809 vs Dragunov 9–6 60.00%
ak_ken809 vs Jun 8–7 53.33%
ak_ken809 vs Yoshimitsu 2–12 14.29%
ak_ken809 vs Xiaoyu 3–11 21.43%
ak_ken809 vs Eddy 3–11 21.43%
ak_ken809 vs Fahkumram 5–8 38.46%
ak_ken809 vs Devil Jin 5–7 41.67%
ak_ken809 vs Lili 8–4 66.67%
ak_ken809 vs Kuma 4–8 33.33%
ak_ken809 vs Nina 8–3 72.73%
ak_ken809 vs Alisa 6–3 66.67%
ak_ken809 vs Raven 5–4 55.56%
ak_ken809 vs Clive 6–2 75.00%
ak_ken809 vs Jack-8 2–5 28.57%
ak_ken809 vs Feng 2–5 28.57%
ak_ken809 vs Lidia 4–3 57.14%
ak_ken809 vs Anna 4–2 66.67%
ak_ken809 vs Claudio 2–3 40.00%
ak_ken809 vs Paul 4–0 100.00%
ak_ken809 vs Panda 2–1 66.67%
ak_ken809 vs Zafina 1–2 33.33%
ak_ken809 vs Shaheen 2–0 100.00%
ak_ken809 vs Leroy 2–0 100.00%

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.