Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
blue ocean

Ratings

blue ocean vs King 13–17 43.33%
blue ocean vs Hwoarang 24–6 80.00%
blue ocean vs Kazuya 21–6 77.78%
blue ocean vs Jin 17–7 70.83%
blue ocean vs Bryan 19–4 82.61%
blue ocean vs Law 11–6 64.71%
blue ocean vs Devil Jin 12–5 70.59%
blue ocean vs Reina 12–4 75.00%
blue ocean vs Yoshimitsu 12–3 80.00%
blue ocean vs Paul 6–8 42.86%
blue ocean vs Xiaoyu 9–5 64.29%
blue ocean vs Lili 3–10 23.08%
blue ocean vs Steve 8–4 66.67%
blue ocean vs Victor 8–4 66.67%
blue ocean vs Feng 7–4 63.64%
blue ocean vs Asuka 5–4 55.56%
blue ocean vs Lee 8–1 88.89%
blue ocean vs Azucena 4–4 50.00%
blue ocean vs Raven 6–2 75.00%
blue ocean vs Heihachi 7–1 87.50%
blue ocean vs Dragunov 6–1 85.71%
blue ocean vs Lars 7–0 100.00%
blue ocean vs Alisa 4–2 66.67%
blue ocean vs Claudio 4–2 66.67%
blue ocean vs Nina 3–3 50.00%
blue ocean vs Leroy 3–3 50.00%
blue ocean vs Jun 6–0 100.00%
blue ocean vs Eddy 3–3 50.00%
blue ocean vs Anna 1–5 16.67%
blue ocean vs Clive 3–2 60.00%
blue ocean vs Armor King 2–3 40.00%
blue ocean vs Shaheen 3–1 75.00%
blue ocean vs Panda 1–3 25.00%
blue ocean vs Jack-8 2–1 66.67%
blue ocean vs Kuma 1–2 33.33%
blue ocean vs Lidia 2–1 66.67%
blue ocean vs Leo 2–0 100.00%
blue ocean vs Zafina 0–2 0.00%
blue ocean vs Fahkumram 1–0 100.00%

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.