Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Riki1710 vs Kazuya 92–116 44.23%
Riki1710 vs Jin 91–107 45.96%
Riki1710 vs Reina 82–74 52.56%
Riki1710 vs Hwoarang 74–73 50.34%
Riki1710 vs King 66–74 47.14%
Riki1710 vs Bryan 61–77 44.20%
Riki1710 vs Heihachi 69–59 53.91%
Riki1710 vs Steve 63–59 51.64%
Riki1710 vs Paul 44–58 43.14%
Riki1710 vs Law 38–55 40.86%
Riki1710 vs Yoshimitsu 43–43 50.00%
Riki1710 vs Dragunov 38–48 44.19%
Riki1710 vs Lee 44–34 56.41%
Riki1710 vs Lili 30–38 44.12%
Riki1710 vs Jun 36–27 57.14%
Riki1710 vs Devil Jin 31–27 53.45%
Riki1710 vs Eddy 25–32 43.86%
Riki1710 vs Xiaoyu 24–31 43.64%
Riki1710 vs Clive 25–25 50.00%
Riki1710 vs Feng 21–27–1 43.75%
Riki1710 vs Azucena 23–24 48.94%
Riki1710 vs Asuka 23–22 51.11%
Riki1710 vs Lidia 25–19 56.82%
Riki1710 vs Jack-8 17–24 41.46%
Riki1710 vs Lars 19–19 50.00%
Riki1710 vs Alisa 20–15 57.14%
Riki1710 vs Nina 19–16 54.29%
Riki1710 vs Armor King 13–19 40.62%
Riki1710 vs Victor 14–17 45.16%
Riki1710 vs Leroy 12–13 48.00%
Riki1710 vs Raven 9–13 40.91%
Riki1710 vs Claudio 12–9 57.14%
Riki1710 vs Zafina 9–12 42.86%
Riki1710 vs Leo 10–9 52.63%
Riki1710 vs Kuma 10–8 55.56%
Riki1710 vs Anna 7–7 50.00%
Riki1710 vs Shaheen 8–4 66.67%
Riki1710 vs Fahkumram 5–4 55.56%
Riki1710 vs Panda 0–8 0.00%
Riki1710 vs Miary Zo 3–5 37.50%

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.