Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ken Kazama vs Kazuya 62–68 47.69%
Ken Kazama vs Reina 54–57 48.65%
Ken Kazama vs Jin 44–59 42.72%
Ken Kazama vs Azucena 45–50 47.37%
Ken Kazama vs Steve 51–35 59.30%
Ken Kazama vs Dragunov 26–50 34.21%
Ken Kazama vs Bryan 29–46 38.67%
Ken Kazama vs Jun 41–33 55.41%
Ken Kazama vs Eddy 22–44 33.33%
Ken Kazama vs King 30–35 46.15%
Ken Kazama vs Law 27–35 43.55%
Ken Kazama vs Hwoarang 23–36 38.98%
Ken Kazama vs Lili 26–30 46.43%
Ken Kazama vs Lee 23–30 43.40%
Ken Kazama vs Asuka 24–27 47.06%
Ken Kazama vs Lars 22–27 44.90%
Ken Kazama vs Xiaoyu 20–25 44.44%
Ken Kazama vs Paul 21–23 47.73%
Ken Kazama vs Yoshimitsu 16–25 39.02%
Ken Kazama vs Victor 14–25 35.90%
Ken Kazama vs Lidia 11–23 32.35%
Ken Kazama vs Nina 10–22 31.25%
Ken Kazama vs Leroy 15–16 48.39%
Ken Kazama vs Leo 10–19 34.48%
Ken Kazama vs Devil Jin 14–14 50.00%
Ken Kazama vs Raven 16–12 57.14%
Ken Kazama vs Clive 17–10 62.96%
Ken Kazama vs Alisa 8–18 30.77%
Ken Kazama vs Heihachi 14–12 53.85%
Ken Kazama vs Kuma 7–14 33.33%
Ken Kazama vs Claudio 6–12 33.33%
Ken Kazama vs Shaheen 12–6 66.67%
Ken Kazama vs Feng 9–8 52.94%
Ken Kazama vs Jack-8 7–8 46.67%
Ken Kazama vs Zafina 6–9 40.00%
Ken Kazama vs Fahkumram 4–2 66.67%
Ken Kazama vs Panda 4–1 80.00%
Ken Kazama vs Anna 1–4 20.00%

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.