Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
black flowers

Ratings

black flowers vs Reina 38–24 61.29%
black flowers vs Lili 29–19 60.42%
black flowers vs Jin 22–22 50.00%
black flowers vs Bryan 23–20 53.49%
black flowers vs Dragunov 20–21 48.78%
black flowers vs Kazuya 19–16 54.29%
black flowers vs Yoshimitsu 19–12 61.29%
black flowers vs Hwoarang 15–16 48.39%
black flowers vs King 21–8 72.41%
black flowers vs Paul 15–11 57.69%
black flowers vs Lars 13–13 50.00%
black flowers vs Steve 14–11 56.00%
black flowers vs Jack-8 14–10 58.33%
black flowers vs Jun 11–11 50.00%
black flowers vs Devil Jin 12–9 57.14%
black flowers vs Azucena 5–16 23.81%
black flowers vs Leo 8–12 40.00%
black flowers vs Claudio 8–12 40.00%
black flowers vs Asuka 10–9 52.63%
black flowers vs Victor 12–5 70.59%
black flowers vs Feng 8–8 50.00%
black flowers vs Alisa 9–7 56.25%
black flowers vs Eddy 6–10 37.50%
black flowers vs Leroy 11–3 78.57%
black flowers vs Xiaoyu 8–5 61.54%
black flowers vs Nina 7–6 53.85%
black flowers vs Zafina 7–5 58.33%
black flowers vs Heihachi 4–8 33.33%
black flowers vs Law 6–4 60.00%
black flowers vs Shaheen 2–6 25.00%
black flowers vs Lee 4–4 50.00%
black flowers vs Kuma 2–3 40.00%
black flowers vs Panda 1–2 33.33%
black flowers vs Raven 3–0 100.00%
black flowers vs Lidia 1–2 33.33%

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.