Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

loser vs King 31–31 50.00%
loser vs Jin 21–40 34.43%
loser vs Reina 26–23 53.06%
loser vs Yoshimitsu 21–15 58.33%
loser vs Kazuya 13–23 36.11%
loser vs Eddy 12–21 36.36%
loser vs Steve 18–14 56.25%
loser vs Dragunov 14–17 45.16%
loser vs Bryan 14–16 46.67%
loser vs Victor 12–17 41.38%
loser vs Asuka 9–18 33.33%
loser vs Lee 13–13 50.00%
loser vs Hwoarang 9–13 40.91%
loser vs Law 12–8 60.00%
loser vs Alisa 7–13 35.00%
loser vs Jun 10–10 50.00%
loser vs Azucena 11–6 64.71%
loser vs Lili 2–13 13.33%
loser vs Lars 4–11 26.67%
loser vs Leroy 7–8 46.67%
loser vs Nina 8–6 57.14%
loser vs Paul 8–4 66.67%
loser vs Devil Jin 4–7 36.36%
loser vs Claudio 4–7 36.36%
loser vs Xiaoyu 3–7 30.00%
loser vs Leo 2–6 25.00%
loser vs Shaheen 4–3 57.14%
loser vs Raven 2–5 28.57%
loser vs Jack-8 1–5 16.67%
loser vs Clive 1–5 16.67%
loser vs Feng 3–2 60.00%
loser vs Zafina 3–2 60.00%
loser vs Anna 2–2 50.00%
loser vs Lidia 3–0 100.00%
loser vs Kuma 0–2 0.00%
loser vs Panda 0–1 0.00%
loser vs Heihachi 1–0 100.00%
loser vs Fahkumram 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.