Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

cooked vs Kazuya 30–24 55.56%
cooked vs Fahkumram 13–35 27.08%
cooked vs Hwoarang 12–23 34.29%
cooked vs Jin 15–19 44.12%
cooked vs King 17–12 58.62%
cooked vs Bryan 18–10 64.29%
cooked vs Steve 13–11 54.17%
cooked vs Asuka 7–15 31.82%
cooked vs Dragunov 8–13 38.10%
cooked vs Eddy 11–9 55.00%
cooked vs Law 8–11 42.11%
cooked vs Reina 4–12 25.00%
cooked vs Yoshimitsu 7–8 46.67%
cooked vs Azucena 9–5 64.29%
cooked vs Victor 9–5 64.29%
cooked vs Heihachi 7–7 50.00%
cooked vs Devil Jin 6–7 46.15%
cooked vs Lars 5–7 41.67%
cooked vs Jack-8 4–7 36.36%
cooked vs Nina 4–7 36.36%
cooked vs Paul 2–7 22.22%
cooked vs Lee 2–6 25.00%
cooked vs Lidia 2–6 25.00%
cooked vs Claudio 3–3–1 50.00%
cooked vs Clive 4–3 57.14%
cooked vs Xiaoyu 2–4 33.33%
cooked vs Raven 2–4 33.33%
cooked vs Alisa 2–2 50.00%
cooked vs Jun 0–4 0.00%
cooked vs Anna 4–0 100.00%
cooked vs Feng 1–2 33.33%
cooked vs Lili 2–1 66.67%
cooked vs Shaheen 2–1 66.67%
cooked vs Zafina 1–2 33.33%
cooked vs Leo 2–0 100.00%
cooked vs Leroy 0–2 0.00%
cooked vs Armor King 0–2 0.00%

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.