Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Loser vs King 32–18 64.00%
Loser vs Paul 18–17 51.43%
Loser vs Jin 17–18 48.57%
Loser vs Law 22–10 68.75%
Loser vs Kazuya 18–9 66.67%
Loser vs Hwoarang 18–8 69.23%
Loser vs Feng 11–12 47.83%
Loser vs Bryan 7–13 35.00%
Loser vs Dragunov 12–7 63.16%
Loser vs Reina 11–7 61.11%
Loser vs Azucena 14–3 82.35%
Loser vs Jun 10–6 62.50%
Loser vs Asuka 8–6 57.14%
Loser vs Lili 8–6 57.14%
Loser vs Lee 9–5 64.29%
Loser vs Yoshimitsu 9–4 69.23%
Loser vs Devil Jin 2–10 16.67%
Loser vs Alisa 7–4 63.64%
Loser vs Leo 3–7 30.00%
Loser vs Victor 3–7 30.00%
Loser vs Nina 7–2 77.78%
Loser vs Xiaoyu 5–3 62.50%
Loser vs Claudio 6–2 75.00%
Loser vs Eddy 4–2 66.67%
Loser vs Jack-8 3–2 60.00%
Loser vs Kuma 4–1 80.00%
Loser vs Lars 3–1 75.00%
Loser vs Steve 0–3 0.00%
Loser vs Shaheen 1–2 33.33%
Loser vs Raven 2–1 66.67%
Loser vs Leroy 0–2 0.00%
Loser vs Lidia 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.