Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
i Love You

Ratings

i Love You vs King 13–2 86.67%
i Love You vs Eddy 13–1 92.86%
i Love You vs Jin 11–2 84.62%
i Love You vs Kazuya 8–2 80.00%
i Love You vs Steve 9–1 90.00%
i Love You vs Lili 8–1 88.89%
i Love You vs Paul 5–3 62.50%
i Love You vs Alisa 7–1 87.50%
i Love You vs Nina 7–1 87.50%
i Love You vs Bryan 5–2 71.43%
i Love You vs Yoshimitsu 5–1 83.33%
i Love You vs Leo 2–4 33.33%
i Love You vs Raven 2–4 33.33%
i Love You vs Hwoarang 4–1 80.00%
i Love You vs Azucena 4–1 80.00%
i Love You vs Law 4–0 100.00%
i Love You vs Devil Jin 4–0 100.00%
i Love You vs Dragunov 4–0 100.00%
i Love You vs Lars 3–1 75.00%
i Love You vs Lee 4–0 100.00%
i Love You vs Jun 4–0 100.00%
i Love You vs Xiaoyu 3–0 100.00%
i Love You vs Leroy 3–0 100.00%
i Love You vs Reina 3–0 100.00%
i Love You vs Jack-8 2–0 100.00%
i Love You vs Feng 0–2 0.00%
i Love You vs Claudio 2–0 100.00%
i Love You vs Victor 2–0 100.00%
i Love You vs Asuka 1–0 100.00%
i Love You 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.