Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

dreamplaza vs Jin 43–47 47.78%
dreamplaza vs Kazuya 55–35 61.11%
dreamplaza vs Hwoarang 41–46 47.13%
dreamplaza vs Bryan 45–34 56.96%
dreamplaza vs King 41–33 55.41%
dreamplaza vs Lars 35–33 51.47%
dreamplaza vs Dragunov 40–27 59.70%
dreamplaza vs Paul 39–27 59.09%
dreamplaza vs Reina 37–23 61.67%
dreamplaza vs Nina 21–27 43.75%
dreamplaza vs Law 25–20 55.56%
dreamplaza vs Yoshimitsu 21–24 46.67%
dreamplaza vs Lee 21–24 46.67%
dreamplaza vs Devil Jin 24–19 55.81%
dreamplaza vs Lili 24–16 60.00%
dreamplaza vs Alisa 17–22 43.59%
dreamplaza vs Victor 24–15 61.54%
dreamplaza vs Heihachi 19–20 48.72%
dreamplaza vs Feng 26–11 70.27%
dreamplaza vs Steve 20–11 64.52%
dreamplaza vs Raven 14–15 48.28%
dreamplaza vs Asuka 15–11 57.69%
dreamplaza vs Leo 14–12 53.85%
dreamplaza vs Xiaoyu 10–13 43.48%
dreamplaza vs Jack-8 18–4–1 81.82%
dreamplaza vs Shaheen 8–14 36.36%
dreamplaza vs Eddy 9–13 40.91%
dreamplaza vs Jun 10–11 47.62%
dreamplaza vs Azucena 10–8 55.56%
dreamplaza vs Claudio 5–6 45.45%
dreamplaza vs Kuma 6–5 54.55%
dreamplaza vs Lidia 4–7 36.36%
dreamplaza vs Leroy 4–6 40.00%
dreamplaza vs Zafina 2–6 25.00%
dreamplaza vs Armor King 5–2 71.43%
dreamplaza vs Anna 3–2 60.00%
dreamplaza vs Fahkumram 3–1 75.00%
dreamplaza vs Clive 2–1 66.67%

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.