Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

hello vs Kazuya 22–35 38.60%
hello vs Jin 18–26 40.91%
hello vs Lili 15–25 37.50%
hello vs Dragunov 12–26 31.58%
hello vs Jun 10–19 34.48%
hello vs Hwoarang 5–21 19.23%
hello vs Steve 17–9 65.38%
hello vs Devil Jin 9–17 34.62%
hello vs Reina 16–10 61.54%
hello vs Victor 7–16 30.43%
hello vs Lars 7–14 33.33%
hello vs King 7–13 35.00%
hello vs Leo 5–13 27.78%
hello vs Law 9–7 56.25%
hello vs Bryan 4–12 25.00%
hello vs Asuka 4–11 26.67%
hello vs Feng 4–11 26.67%
hello vs Paul 2–11 15.38%
hello vs Yoshimitsu 7–6 53.85%
hello vs Alisa 4–6 40.00%
hello vs Heihachi 3–7 30.00%
hello vs Claudio 1–7 12.50%
hello vs Eddy 2–6 25.00%
hello vs Lidia 3–5 37.50%
hello vs Clive 3–5 37.50%
hello vs Xiaoyu 3–4 42.86%
hello vs Shaheen 3–4 42.86%
hello vs Lee 2–4 33.33%
hello vs Jack-8 0–4 0.00%
hello vs Nina 1–3 25.00%
hello vs Kuma 0–4 0.00%
hello vs Azucena 3–1 75.00%
hello vs Raven 0–1 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.