Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

tofee vs Jin 15–26 36.59%
tofee vs Kazuya 17–13 56.67%
tofee vs Steve 12–13 48.00%
tofee vs King 9–14 39.13%
tofee vs Reina 15–6 71.43%
tofee vs Law 9–10 47.37%
tofee vs Dragunov 13–5 72.22%
tofee vs Devil Jin 5–11 31.25%
tofee vs Heihachi 3–13 18.75%
tofee vs Hwoarang 7–8 46.67%
tofee vs Leo 5–9 35.71%
tofee vs Nina 4–10 28.57%
tofee vs Clive 9–5 64.29%
tofee vs Paul 3–10 23.08%
tofee vs Yoshimitsu 8–5 61.54%
tofee vs Bryan 6–7 46.15%
tofee vs Asuka 4–7 36.36%
tofee vs Lili 3–7 30.00%
tofee vs Jun 5–5 50.00%
tofee vs Feng 5–3 62.50%
tofee vs Eddy 6–2 75.00%
tofee vs Lars 2–5 28.57%
tofee vs Shaheen 1–6 14.29%
tofee vs Azucena 4–1 80.00%
tofee vs Victor 2–3 40.00%
tofee vs Xiaoyu 1–2 33.33%
tofee vs Alisa 2–1 66.67%
tofee vs Lee 1–2 33.33%
tofee vs Leroy 3–0 100.00%
tofee vs Lidia 1–2 33.33%
tofee vs Claudio 2–0 100.00%
tofee vs Kuma 1–1 50.00%
tofee vs Zafina 0–2 0.00%
tofee vs Raven 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.