Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Danny Dumlet vs Heihachi 49–41 54.44%
Danny Dumlet vs King 48–38 55.81%
Danny Dumlet vs Kazuya 43–39 52.44%
Danny Dumlet vs Reina 43–39 52.44%
Danny Dumlet vs Bryan 29–29 50.00%
Danny Dumlet vs Steve 31–23 57.41%
Danny Dumlet vs Dragunov 32–18 64.00%
Danny Dumlet vs Hwoarang 25–20 55.56%
Danny Dumlet vs Eddy 23–22 51.11%
Danny Dumlet vs Clive 24–21 53.33%
Danny Dumlet vs Jin 27–17 61.36%
Danny Dumlet vs Lidia 26–16 61.90%
Danny Dumlet vs Jun 28–13 68.29%
Danny Dumlet vs Law 26–14 65.00%
Danny Dumlet vs Azucena 22–15 59.46%
Danny Dumlet vs Paul 21–14 60.00%
Danny Dumlet vs Yoshimitsu 19–16 54.29%
Danny Dumlet vs Jack-8 18–14 56.25%
Danny Dumlet vs Xiaoyu 20–10 66.67%
Danny Dumlet vs Lili 12–18 40.00%
Danny Dumlet vs Leo 17–12 58.62%
Danny Dumlet vs Victor 11–16 40.74%
Danny Dumlet vs Feng 12–12 50.00%
Danny Dumlet vs Asuka 13–9 59.09%
Danny Dumlet vs Lee 9–12 42.86%
Danny Dumlet vs Devil Jin 9–10 47.37%
Danny Dumlet vs Raven 8–10 44.44%
Danny Dumlet vs Alisa 9–8 52.94%
Danny Dumlet vs Shaheen 12–5 70.59%
Danny Dumlet vs Nina 12–4 75.00%
Danny Dumlet vs Leroy 10–6 62.50%
Danny Dumlet vs Lars 6–8 42.86%
Danny Dumlet vs Kuma 7–3 70.00%
Danny Dumlet vs Zafina 5–3 62.50%
Danny Dumlet vs Claudio 6–0 100.00%
Danny Dumlet vs Panda 3–1 75.00%

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.