Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dannsenn vs Armor King 67–102 39.64%
Dannsenn vs Jin 61–95 39.10%
Dannsenn vs Kazuya 70–82 46.05%
Dannsenn vs King 47–74 38.84%
Dannsenn vs Steve 52–59 46.85%
Dannsenn vs Hwoarang 43–64 40.19%
Dannsenn vs Law 52–51 50.49%
Dannsenn vs Bryan 43–41 51.19%
Dannsenn vs Heihachi 35–40 46.67%
Dannsenn vs Reina 26–47 35.62%
Dannsenn vs Paul 25–35 41.67%
Dannsenn vs Alisa 26–31 45.61%
Dannsenn vs Eddy 12–43 21.82%
Dannsenn vs Dragunov 18–30 37.50%
Dannsenn vs Jun 18–30 37.50%
Dannsenn vs Lili 25–22 53.19%
Dannsenn vs Lee 15–30 33.33%
Dannsenn vs Devil Jin 24–18 57.14%
Dannsenn vs Azucena 13–28 31.71%
Dannsenn vs Xiaoyu 20–19 51.28%
Dannsenn vs Yoshimitsu 15–23 39.47%
Dannsenn vs Fahkumram 15–23 39.47%
Dannsenn vs Nina 15–22 40.54%
Dannsenn vs Lars 11–25 30.56%
Dannsenn vs Asuka 15–20 42.86%
Dannsenn vs Feng 14–16 46.67%
Dannsenn vs Miary Zo 13–16 44.83%
Dannsenn vs Anna 15–13 53.57%
Dannsenn vs Leo 10–16 38.46%
Dannsenn vs Jack-8 13–11 54.17%
Dannsenn vs Clive 10–13 43.48%
Dannsenn vs Victor 13–8 61.90%
Dannsenn vs Raven 7–14 33.33%
Dannsenn vs Lidia 12–8 60.00%
Dannsenn vs Kuma 10–9 52.63%
Dannsenn vs Leroy 7–12 36.84%
Dannsenn vs Zafina 9–7 56.25%
Dannsenn vs Shaheen 6–9 40.00%
Dannsenn vs Claudio 6–4 60.00%
Dannsenn vs Panda 2–3 40.00%

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.