Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Keihatsu vs Kazuya 83–93 47.16%
Keihatsu vs Jin 64–97 39.75%
Keihatsu vs Dragunov 70–73 48.95%
Keihatsu vs Bryan 57–72 44.19%
Keihatsu vs Reina 59–68 46.46%
Keihatsu vs King 67–55 54.92%
Keihatsu vs Steve 42–45 48.28%
Keihatsu vs Paul 34–46 42.50%
Keihatsu vs Law 39–39 50.00%
Keihatsu vs Hwoarang 26–50 34.21%
Keihatsu vs Lili 27–43 38.57%
Keihatsu vs Armor King 28–38 42.42%
Keihatsu vs Yoshimitsu 37–28 56.92%
Keihatsu vs Heihachi 28–31 47.46%
Keihatsu vs Jun 21–37 36.21%
Keihatsu vs Lee 24–29 45.28%
Keihatsu vs Victor 23–30 43.40%
Keihatsu vs Nina 23–26 46.94%
Keihatsu vs Azucena 23–21 52.27%
Keihatsu vs Eddy 22–20 52.38%
Keihatsu vs Devil Jin 15–25 37.50%
Keihatsu vs Clive 16–24 40.00%
Keihatsu vs Asuka 18–19 48.65%
Keihatsu vs Jack-8 14–21 40.00%
Keihatsu vs Feng 12–23 34.29%
Keihatsu vs Alisa 14–21 40.00%
Keihatsu vs Lars 14–19 42.42%
Keihatsu vs Kuma 12–20 37.50%
Keihatsu vs Claudio 18–12 60.00%
Keihatsu vs Lidia 11–19 36.67%
Keihatsu vs Xiaoyu 12–17 41.38%
Keihatsu vs Leroy 12–14 46.15%
Keihatsu vs Raven 12–14 46.15%
Keihatsu vs Fahkumram 7–16 30.43%
Keihatsu vs Anna 10–11 47.62%
Keihatsu vs Zafina 11–9 55.00%
Keihatsu vs Leo 12–6 66.67%
Keihatsu vs Shaheen 4–12 25.00%
Keihatsu vs Miary Zo 4–7 36.36%
Keihatsu vs Panda 2–8 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.