Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

specialized vs Bryan 58–50 53.70%
specialized vs Paul 59–45 56.73%
specialized vs Jin 56–33 62.92%
specialized vs King 49–39 55.68%
specialized vs Hwoarang 51–30 62.96%
specialized vs Heihachi 44–35 55.70%
specialized vs Dragunov 41–34 54.67%
specialized vs Kazuya 43–30 58.90%
specialized vs Asuka 29–33 46.77%
specialized vs Law 35–22 61.40%
specialized vs Reina 21–34 38.18%
specialized vs Azucena 24–27 47.06%
specialized vs Alisa 19–31 38.00%
specialized vs Victor 17–29 36.96%
specialized vs Steve 22–23 48.89%
specialized vs Lili 23–20 53.49%
specialized vs Feng 16–22 42.11%
specialized vs Lidia 19–17 52.78%
specialized vs Yoshimitsu 21–14 60.00%
specialized vs Jun 17–18 48.57%
specialized vs Nina 14–20 41.18%
specialized vs Leroy 22–11 66.67%
specialized vs Leo 19–12 61.29%
specialized vs Lars 10–19 34.48%
specialized vs Devil Jin 15–11 57.69%
specialized vs Jack-8 10–14 41.67%
specialized vs Eddy 14–8 63.64%
specialized vs Xiaoyu 7–13 35.00%
specialized vs Claudio 11–9 55.00%
specialized vs Lee 9–11 45.00%
specialized vs Shaheen 13–6 68.42%
specialized vs Kuma 7–12 36.84%
specialized vs Raven 7–7 50.00%
specialized vs Zafina 7–4 63.64%
specialized vs Panda 2–3 40.00%
specialized vs Clive 2–2 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.