Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

District vs Kazuya 97–70 58.08%
District vs Bryan 98–56 63.64%
District vs Jin 80–62 56.34%
District vs King 47–51 47.96%
District vs Dragunov 53–39 57.61%
District vs Reina 53–31 63.10%
District vs Hwoarang 38–40 48.72%
District vs Steve 45–33 57.69%
District vs Heihachi 48–29 62.34%
District vs Yoshimitsu 46–21 68.66%
District vs Devil Jin 35–32 52.24%
District vs Law 32–34 48.48%
District vs Lili 40–24 62.50%
District vs Armor King 31–26 54.39%
District vs Lee 29–27 51.79%
District vs Asuka 33–22 60.00%
District vs Azucena 35–20 63.64%
District vs Paul 24–26 48.00%
District vs Jun 24–26 48.00%
District vs Feng 25–17 59.52%
District vs Lars 27–12 69.23%
District vs Lidia 17–20 45.95%
District vs Xiaoyu 22–12 64.71%
District vs Alisa 16–16 50.00%
District vs Eddy 19–12 61.29%
District vs Nina 13–15 46.43%
District vs Jack-8 14–13 51.85%
District vs Raven 13–12 52.00%
District vs Claudio 10–14 41.67%
District vs Leo 10–13 43.48%
District vs Leroy 14–9 60.87%
District vs Fahkumram 11–11 50.00%
District vs Anna 9–11 45.00%
District vs Miary Zo 11–9 55.00%
District vs Kuma 8–8 50.00%
District vs Victor 8–8 50.00%
District vs Clive 6–8 42.86%
District vs Zafina 4–8 33.33%
District vs Shaheen 7–3 70.00%
District vs Panda 3–3 50.00%

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.