Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Niña Williams
Big League Chew
Niña Williams vs Kazuya 18–7 72.00%
Niña Williams vs Hwoarang 12–4 75.00%
Niña Williams vs King 10–5 66.67%
Niña Williams vs Jin 8–5 61.54%
Niña Williams vs Yoshimitsu 8–3 72.73%
Niña Williams vs Steve 8–2 80.00%
Niña Williams vs Asuka 6–4 60.00%
Niña Williams vs Dragunov 5–5 50.00%
Niña Williams vs Raven 5–5 50.00%
Niña Williams vs Eddy 7–3 70.00%
Niña Williams vs Devil Jin 5–4 55.56%
Niña Williams vs Alisa 8–1 88.89%
Niña Williams vs Bryan 5–3 62.50%
Niña Williams vs Leroy 5–3 62.50%
Niña Williams vs Xiaoyu 4–3 57.14%
Niña Williams vs Lili 6–1 85.71%
Niña Williams vs Lee 5–2 71.43%
Niña Williams vs Jun 6–1 85.71%
Niña Williams vs Paul 6–0 100.00%
Niña Williams vs Feng 4–2 66.67%
Niña Williams vs Reina 6–0 100.00%
Niña Williams vs Claudio 3–2 60.00%
Niña Williams vs Kuma 3–2 60.00%
Niña Williams vs Azucena 4–1 80.00%
Niña Williams vs Lars 2–2 50.00%
Niña Williams vs Lidia 2–2 50.00%
Niña Williams vs Heihachi 3–1 75.00%
Niña Williams vs Nina 2–1 66.67%
Niña Williams vs Zafina 3–0 100.00%
Niña Williams vs Victor 2–1 66.67%
Niña Williams vs Clive 2–1 66.67%
Niña Williams vs Leo 2–0 100.00%
Niña Williams vs Panda 2–0 100.00%
Niña Williams vs Law 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.