Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Still Learning

Ratings

Still Learning vs King 45–53 45.92%
Still Learning vs Miary Zo 31–48 39.24%
Still Learning vs Steve 28–48 36.84%
Still Learning vs Armor King 20–47 29.85%
Still Learning vs Hwoarang 24–35 40.68%
Still Learning vs Jin 15–44 25.42%
Still Learning vs Reina 16–36 30.77%
Still Learning vs Eddy 19–29 39.58%
Still Learning vs Victor 10–33 23.26%
Still Learning vs Law 14–28 33.33%
Still Learning vs Bryan 14–28 33.33%
Still Learning vs Kazuya 14–27 34.15%
Still Learning vs Azucena 16–24 40.00%
Still Learning vs Dragunov 9–24 27.27%
Still Learning vs Jun 11–21 34.38%
Still Learning vs Lili 11–18 37.93%
Still Learning vs Lars 7–18 28.00%
Still Learning vs Paul 5–19 20.83%
Still Learning vs Kuma 7–17 29.17%
Still Learning vs Lee 5–18 21.74%
Still Learning vs Heihachi 9–14 39.13%
Still Learning vs Leroy 8–14 36.36%
Still Learning vs Yoshimitsu 8–13 38.10%
Still Learning vs Lidia 4–17 19.05%
Still Learning vs Clive 5–14 26.32%
Still Learning vs Leo 8–10 44.44%
Still Learning vs Nina 5–13 27.78%
Still Learning vs Fahkumram 7–9 43.75%
Still Learning vs Devil Jin 6–9 40.00%
Still Learning vs Asuka 4–9 30.77%
Still Learning vs Feng 3–10 23.08%
Still Learning vs Jack-8 5–7 41.67%
Still Learning vs Alisa 4–8 33.33%
Still Learning vs Anna 5–7 41.67%
Still Learning vs Xiaoyu 7–3 70.00%
Still Learning vs Raven 2–6 25.00%
Still Learning vs Claudio 4–1 80.00%
Still Learning vs Zafina 2–1 66.67%
Still Learning vs Panda 2–0 100.00%
Still Learning vs Shaheen 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.