Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Daikirino vs Kazuya 119–77 60.71%
Daikirino vs Jin 80–73 52.29%
Daikirino vs Reina 83–52 61.48%
Daikirino vs Bryan 57–67 45.97%
Daikirino vs King 53–65 44.92%
Daikirino vs Law 62–47 56.88%
Daikirino vs Steve 59–36 62.11%
Daikirino vs Hwoarang 55–39 58.51%
Daikirino vs Dragunov 50–39 56.18%
Daikirino vs Heihachi 48–41 53.93%
Daikirino vs Jun 45–42 51.72%
Daikirino vs Paul 36–41 46.75%
Daikirino vs Yoshimitsu 47–30 61.04%
Daikirino vs Asuka 41–36 53.25%
Daikirino vs Lili 34–31 52.31%
Daikirino vs Devil Jin 28–35 44.44%
Daikirino vs Clive 33–27 55.00%
Daikirino vs Lidia 35–23 60.34%
Daikirino vs Lee 27–30 47.37%
Daikirino vs Nina 33–21 61.11%
Daikirino vs Victor 30–24 55.56%
Daikirino vs Xiaoyu 27–26 50.94%
Daikirino vs Leroy 28–24 53.85%
Daikirino vs Eddy 19–26 42.22%
Daikirino vs Alisa 21–20 51.22%
Daikirino vs Azucena 19–17 52.78%
Daikirino vs Claudio 20–11 64.52%
Daikirino vs Lars 17–13 56.67%
Daikirino vs Raven 19–11 63.33%
Daikirino vs Leo 16–13 55.17%
Daikirino vs Feng 11–15 42.31%
Daikirino vs Jack-8 14–9 60.87%
Daikirino vs Zafina 8–12 40.00%
Daikirino vs Kuma 9–10 47.37%
Daikirino vs Anna 10–6 62.50%
Daikirino vs Fahkumram 11–2 84.62%
Daikirino vs Shaheen 6–6 50.00%
Daikirino vs Panda 5–6 45.45%
Daikirino vs Miary Zo 4–0 100.00%

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.