Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

iced latte vs Jun 12–4 75.00%
iced latte vs Steve 10–5 66.67%
iced latte vs Reina 8–6 57.14%
iced latte vs Feng 9–3 75.00%
iced latte vs Kazuya 5–5 50.00%
iced latte vs Victor 5–5 50.00%
iced latte vs Lee 6–3 66.67%
iced latte vs Jin 6–1 85.71%
iced latte vs Bryan 5–2 71.43%
iced latte vs Dragunov 5–2 71.43%
iced latte vs Hwoarang 6–0 100.00%
iced latte vs Jack-8 3–3 50.00%
iced latte vs Paul 3–2 60.00%
iced latte vs Kuma 3–2 60.00%
iced latte vs Panda 2–3 40.00%
iced latte vs Raven 3–2 60.00%
iced latte vs Xiaoyu 1–2 33.33%
iced latte vs Devil Jin 1–2 33.33%
iced latte vs Lars 3–0 100.00%
iced latte vs Zafina 3–0 100.00%
iced latte vs Azucena 3–0 100.00%
iced latte vs Law 2–0 100.00%
iced latte vs King 2–0 100.00%
iced latte vs Lili 2–0 100.00%
iced latte vs Leo 2–0 100.00%
iced latte vs Claudio 2–0 100.00%
iced latte vs Shaheen 2–0 100.00%
iced latte vs Nina 2–0 100.00%
iced latte vs Heihachi 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.