Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Little Mexican vs Lili 22–3 88.00%
Little Mexican vs Hwoarang 19–1 95.00%
Little Mexican vs King 15–3 83.33%
Little Mexican vs Eddy 17–0 100.00%
Little Mexican vs Jin 15–1 93.75%
Little Mexican vs Steve 13–3 81.25%
Little Mexican vs Yoshimitsu 13–1 92.86%
Little Mexican vs Kazuya 11–3 78.57%
Little Mexican vs Dragunov 10–3 76.92%
Little Mexican vs Reina 11–2 84.62%
Little Mexican vs Heihachi 11–2 84.62%
Little Mexican vs Law 9–3 75.00%
Little Mexican vs Paul 8–2 80.00%
Little Mexican vs Asuka 9–1 90.00%
Little Mexican vs Feng 9–1 90.00%
Little Mexican vs Azucena 9–1 90.00%
Little Mexican vs Jun 8–1 88.89%
Little Mexican vs Jack-8 4–3 57.14%
Little Mexican vs Kuma 5–1 83.33%
Little Mexican vs Victor 6–0 100.00%
Little Mexican vs Xiaoyu 5–0 100.00%
Little Mexican vs Lars 4–1 80.00%
Little Mexican vs Nina 5–0 100.00%
Little Mexican vs Bryan 4–0 100.00%
Little Mexican vs Leo 2–2 50.00%
Little Mexican vs Leroy 4–0 100.00%
Little Mexican vs Lee 2–1 66.67%
Little Mexican vs Zafina 3–0 100.00%
Little Mexican vs Claudio 0–2 0.00%
Little Mexican vs Lidia 2–0 100.00%
Little Mexican vs Alisa 2–0 100.00%
Little Mexican vs Raven 2–0 100.00%
Little Mexican vs Shaheen 1–0 100.00%
Little Mexican vs Devil Jin 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.