Like TEKKEN 7? Try out c7, which now has Wavu Wank7.

Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
DaDaMan

Ratings

DaDaMan vs Armor King 38–41 48.10%
DaDaMan vs Kazuya 27–35 43.55%
DaDaMan vs Jin 29–23 55.77%
DaDaMan vs Reina 25–22 53.19%
DaDaMan vs King 25–21 54.35%
DaDaMan vs Law 22–21 51.16%
DaDaMan vs Steve 26–12 68.42%
DaDaMan vs Hwoarang 14–22 38.89%
DaDaMan vs Heihachi 17–19 47.22%
DaDaMan vs Lars 18–17 51.43%
DaDaMan vs Azucena 16–19 45.71%
DaDaMan vs Eddy 22–10 68.75%
DaDaMan vs Paul 17–14 54.84%
DaDaMan vs Yoshimitsu 14–17 45.16%
DaDaMan vs Bryan 11–20 35.48%
DaDaMan vs Lee 14–15 48.28%
DaDaMan vs Fahkumram 18–9 66.67%
DaDaMan vs Leroy 15–11 57.69%
DaDaMan vs Dragunov 14–11 56.00%
DaDaMan vs Lili 16–8 66.67%
DaDaMan vs Jun 11–13 45.83%
DaDaMan vs Xiaoyu 12–11 52.17%
DaDaMan vs Feng 9–13 40.91%
DaDaMan vs Leo 13–9 59.09%
DaDaMan vs Victor 11–11 50.00%
DaDaMan vs Asuka 13–6 68.42%
DaDaMan vs Anna 12–7 63.16%
DaDaMan vs Miary Zo 10–8 55.56%
DaDaMan vs Zafina 8–8 50.00%
DaDaMan vs Jack-8 6–9 40.00%
DaDaMan vs Kuma 7–7 50.00%
DaDaMan vs Nina 7–6 53.85%
DaDaMan vs Raven 5–6 45.45%
DaDaMan vs Lidia 6–4 60.00%
DaDaMan vs Clive 4–4 50.00%
DaDaMan vs Alisa 1–5 16.67%
DaDaMan vs Claudio 3–2 60.00%
DaDaMan vs Shaheen 2–3 40.00%
DaDaMan vs Devil Jin 2–0 100.00%
DaDaMan vs Panda 0–1 0.00%

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.