Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

doberman vs Paul 96–104 48.00%
doberman vs Kazuya 91–107 45.96%
doberman vs Dragunov 91–104 46.67%
doberman vs King 85–97 46.70%
doberman vs Heihachi 74–93 44.31%
doberman vs Bryan 80–84 48.78%
doberman vs Hwoarang 54–107 33.54%
doberman vs Reina 81–78 50.94%
doberman vs Jin 64–82 43.84%
doberman vs Lili 69–73 48.59%
doberman vs Asuka 67–57 54.03%
doberman vs Law 52–55 48.60%
doberman vs Yoshimitsu 58–48 54.72%
doberman vs Victor 40–66 37.74%
doberman vs Jun 44–52 45.83%
doberman vs Lidia 45–49 47.87%
doberman vs Steve 47–46 50.54%
doberman vs Xiaoyu 33–43 43.42%
doberman vs Alisa 34–39 46.58%
doberman vs Azucena 36–34 51.43%
doberman vs Feng 27–40 40.30%
doberman vs Devil Jin 25–40 38.46%
doberman vs Clive 17–48 26.15%
doberman vs Nina 29–30 49.15%
doberman vs Lee 31–27 53.45%
doberman vs Claudio 24–27 47.06%
doberman vs Lars 23–23 50.00%
doberman vs Eddy 14–25 35.90%
doberman vs Jack-8 9–26 25.71%
doberman vs Leo 14–18 43.75%
doberman vs Leroy 10–22 31.25%
doberman vs Shaheen 15–15 50.00%
doberman vs Raven 10–17 37.04%
doberman vs Zafina 13–11 54.17%
doberman vs Panda 8–8 50.00%
doberman vs Kuma 8–7 53.33%
doberman vs Miary Zo 3–7 30.00%
doberman vs Armor King 5–4 55.56%
doberman vs Anna 3–2 60.00%
doberman vs Fahkumram 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.