Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

TuckGi vs Paul 9–8 52.94%
TuckGi vs King 7–7 50.00%
TuckGi vs Dragunov 6–3 66.67%
TuckGi vs Asuka 5–3 62.50%
TuckGi vs Reina 7–1 87.50%
TuckGi vs Jin 5–2 71.43%
TuckGi vs Hwoarang 3–2 60.00%
TuckGi vs Victor 4–1 80.00%
TuckGi vs Yoshimitsu 3–1 75.00%
TuckGi vs Xiaoyu 1–3 25.00%
TuckGi vs Bryan 2–2 50.00%
TuckGi vs Lili 2–2 50.00%
TuckGi vs Claudio 2–1 66.67%
TuckGi vs Nina 2–1 66.67%
TuckGi vs Lee 2–1 66.67%
TuckGi vs Azucena 1–2 33.33%
TuckGi vs Jack-8 2–0 100.00%
TuckGi vs Feng 2–0 100.00%
TuckGi vs Lars 1–1 50.00%
TuckGi vs Alisa 2–0 100.00%
TuckGi vs Leroy 2–0 100.00%
TuckGi vs Raven 0–2 0.00%
TuckGi vs Eddy 2–0 100.00%
TuckGi vs Heihachi 2–0 100.00%
TuckGi vs Law 1–0 100.00%
TuckGi vs Kazuya 1–0 100.00%
TuckGi vs Devil Jin 1–0 100.00%
TuckGi vs Leo 0–1 0.00%
TuckGi vs Shaheen 1–0 100.00%
TuckGi vs Kuma 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.