Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

qqnm
darildsas
qqnm vs Kazuya 91–91 50.00%
qqnm vs Jin 78–82 48.75%
qqnm vs Heihachi 58–86 40.28%
qqnm vs Bryan 64–75 46.04%
qqnm vs King 54–80 40.30%
qqnm vs Reina 55–66 45.45%
qqnm vs Hwoarang 41–66 38.32%
qqnm vs Dragunov 45–57 44.12%
qqnm vs Steve 30–51 37.04%
qqnm vs Paul 28–45 38.36%
qqnm vs Yoshimitsu 33–40 45.21%
qqnm vs Law 33–33 50.00%
qqnm vs Lee 28–38 42.42%
qqnm vs Devil Jin 31–30 50.82%
qqnm vs Asuka 28–29 49.12%
qqnm vs Eddy 14–36 28.00%
qqnm vs Lili 30–18 62.50%
qqnm vs Alisa 16–30 34.78%
qqnm vs Jun 23–22 51.11%
qqnm vs Nina 13–29 30.95%
qqnm vs Xiaoyu 16–24 40.00%
qqnm vs Clive 14–25 35.90%
qqnm vs Lars 12–24 33.33%
qqnm vs Leroy 16–20 44.44%
qqnm vs Victor 9–26 25.71%
qqnm vs Feng 14–19 42.42%
qqnm vs Leo 18–15 54.55%
qqnm vs Azucena 17–16 51.52%
qqnm vs Lidia 10–19 34.48%
qqnm vs Kuma 7–19 26.92%
qqnm vs Jack-8 8–16 33.33%
qqnm vs Raven 5–18 21.74%
qqnm vs Zafina 8–12 40.00%
qqnm vs Claudio 8–11 42.11%
qqnm vs Shaheen 4–10 28.57%
qqnm vs Panda 1–6 14.29%

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.