Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Keihatsu vs Kazuya 62–80 43.66%
Keihatsu vs Jin 54–76 41.54%
Keihatsu vs Dragunov 54–56 49.09%
Keihatsu vs King 58–50 53.70%
Keihatsu vs Bryan 48–55 46.60%
Keihatsu vs Reina 48–52 48.00%
Keihatsu vs Paul 28–38 42.42%
Keihatsu vs Hwoarang 17–46 26.98%
Keihatsu vs Lili 26–36 41.94%
Keihatsu vs Steve 30–31 49.18%
Keihatsu vs Yoshimitsu 29–27 51.79%
Keihatsu vs Jun 20–31 39.22%
Keihatsu vs Law 22–27 44.90%
Keihatsu vs Nina 20–26 43.48%
Keihatsu vs Victor 21–25 45.65%
Keihatsu vs Lee 19–24 44.19%
Keihatsu vs Armor King 18–25 41.86%
Keihatsu vs Azucena 21–19 52.50%
Keihatsu vs Heihachi 19–21 47.50%
Keihatsu vs Clive 14–22 38.89%
Keihatsu vs Devil Jin 12–23 34.29%
Keihatsu vs Jack-8 14–20 41.18%
Keihatsu vs Feng 12–20 37.50%
Keihatsu vs Alisa 14–17 45.16%
Keihatsu vs Kuma 11–20 35.48%
Keihatsu vs Eddy 14–17 45.16%
Keihatsu vs Asuka 14–14 50.00%
Keihatsu vs Lidia 10–18 35.71%
Keihatsu vs Lars 13–14 48.15%
Keihatsu vs Claudio 16–9 64.00%
Keihatsu vs Xiaoyu 10–13 43.48%
Keihatsu vs Raven 9–14 39.13%
Keihatsu vs Leroy 11–11 50.00%
Keihatsu vs Fahkumram 7–14 33.33%
Keihatsu vs Zafina 11–8 57.89%
Keihatsu vs Leo 12–6 66.67%
Keihatsu vs Anna 8–9 47.06%
Keihatsu vs Shaheen 4–12 25.00%
Keihatsu vs Panda 1–6 14.29%
Keihatsu vs Miary Zo 3–2 60.00%

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.