Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Unexpected_Lady

Ratings

Unexpected_Lady vs Kazuya 9–12 42.86%
Unexpected_Lady vs Jin 10–8 55.56%
Unexpected_Lady vs Reina 8–6 57.14%
Unexpected_Lady vs Law 3–10 23.08%
Unexpected_Lady vs King 5–7 41.67%
Unexpected_Lady vs Hwoarang 7–5 58.33%
Unexpected_Lady vs Paul 6–5 54.55%
Unexpected_Lady vs Victor 8–1 88.89%
Unexpected_Lady vs Bryan 4–4 50.00%
Unexpected_Lady vs Nina 7–1 87.50%
Unexpected_Lady vs Jun 3–5 37.50%
Unexpected_Lady vs Azucena 3–5 37.50%
Unexpected_Lady vs Yoshimitsu 4–3 57.14%
Unexpected_Lady vs Devil Jin 4–2 66.67%
Unexpected_Lady vs Lili 1–4 20.00%
Unexpected_Lady vs Kuma 3–2 60.00%
Unexpected_Lady vs Claudio 3–1 75.00%
Unexpected_Lady vs Shaheen 1–3 25.00%
Unexpected_Lady vs Xiaoyu 1–2 33.33%
Unexpected_Lady vs Asuka 1–2 33.33%
Unexpected_Lady vs Leroy 1–2 33.33%
Unexpected_Lady vs Eddy 1–2 33.33%
Unexpected_Lady vs Lidia 2–1 66.67%
Unexpected_Lady vs Steve 0–2 0.00%
Unexpected_Lady vs Jack-8 1–1 50.00%
Unexpected_Lady vs Lars 1–1 50.00%
Unexpected_Lady vs Lee 2–0 100.00%
Unexpected_Lady vs Panda 1–1 50.00%
Unexpected_Lady vs Raven 1–1 50.00%
Unexpected_Lady vs Alisa 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.