Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Scam Likely

Ratings

Scam Likely vs King 27–22 55.10%
Scam Likely vs Jun 15–18 45.45%
Scam Likely vs Hwoarang 11–21 34.38%
Scam Likely vs Eddy 11–17 39.29%
Scam Likely vs Kazuya 13–14 48.15%
Scam Likely vs Jin 14–12 53.85%
Scam Likely vs Law 10–15 40.00%
Scam Likely vs Yoshimitsu 9–15 37.50%
Scam Likely vs Victor 6–11 35.29%
Scam Likely vs Steve 8–8 50.00%
Scam Likely vs Bryan 7–8 46.67%
Scam Likely vs Nina 6–8 42.86%
Scam Likely vs Feng 9–4 69.23%
Scam Likely vs Reina 4–9 30.77%
Scam Likely vs Dragunov 4–8 33.33%
Scam Likely vs Alisa 5–6 45.45%
Scam Likely vs Azucena 4–7 36.36%
Scam Likely vs Jack-8 4–6 40.00%
Scam Likely vs Leroy 4–6 40.00%
Scam Likely vs Lars 5–4 55.56%
Scam Likely vs Asuka 2–6 25.00%
Scam Likely vs Kuma 4–4 50.00%
Scam Likely vs Leo 4–3 57.14%
Scam Likely vs Lee 6–0 100.00%
Scam Likely vs Paul 2–3 40.00%
Scam Likely vs Panda 1–4 20.00%
Scam Likely vs Devil Jin 3–1 75.00%
Scam Likely vs Lili 2–2 50.00%
Scam Likely vs Shaheen 1–3 25.00%
Scam Likely vs Xiaoyu 2–1 66.67%
Scam Likely vs Claudio 2–0 100.00%

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.