Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tucker vs Eddy 5–7 41.67%
Tucker vs Reina 8–2 80.00%
Tucker vs Azucena 5–5 50.00%
Tucker vs Victor 6–4 60.00%
Tucker vs Steve 7–2 77.78%
Tucker vs Kazuya 4–4 50.00%
Tucker vs King 4–3 57.14%
Tucker vs Hwoarang 4–3 57.14%
Tucker vs Xiaoyu 5–2 71.43%
Tucker vs Jin 2–5 28.57%
Tucker vs Law 3–3 50.00%
Tucker vs Lili 3–3 50.00%
Tucker vs Paul 3–2 60.00%
Tucker vs Yoshimitsu 4–1 80.00%
Tucker vs Feng 2–2 50.00%
Tucker vs Lars 2–2 50.00%
Tucker vs Alisa 2–2 50.00%
Tucker vs Jack-8 2–1 66.67%
Tucker vs Asuka 3–0 100.00%
Tucker vs Devil Jin 1–2 33.33%
Tucker vs Panda 2–1 66.67%
Tucker vs Raven 2–1 66.67%
Tucker vs Bryan 1–1 50.00%
Tucker vs Dragunov 0–2 0.00%
Tucker vs Claudio 1–1 50.00%
Tucker vs Zafina 2–0 100.00%
Tucker vs Jun 0–2 0.00%
Tucker vs Leo 0–1 0.00%
Tucker vs Nina 0–1 0.00%
Tucker vs Lee 0–1 0.00%
Tucker vs Kuma 0–1 0.00%
Tucker vs Leroy 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.