Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Loser
SAYENNINJA
Loser vs King 15–12 55.56%
Loser vs Reina 14–11 56.00%
Loser vs Hwoarang 15–6 71.43%
Loser vs Jin 10–11 47.62%
Loser vs Eddy 6–14 30.00%
Loser vs Law 11–6 64.71%
Loser vs Steve 9–7 56.25%
Loser vs Bryan 11–4 73.33%
Loser vs Lili 8–7 53.33%
Loser vs Dragunov 4–10 28.57%
Loser vs Jun 5–9 35.71%
Loser vs Kazuya 8–5 61.54%
Loser vs Asuka 9–2 81.82%
Loser vs Leo 6–3 66.67%
Loser vs Lee 2–7 22.22%
Loser vs Azucena 3–6 33.33%
Loser vs Raven 5–4 55.56%
Loser vs Yoshimitsu 5–3 62.50%
Loser vs Devil Jin 7–1 87.50%
Loser vs Paul 3–4 42.86%
Loser vs Xiaoyu 5–2 71.43%
Loser vs Lars 3–4 42.86%
Loser vs Heihachi 3–3 50.00%
Loser vs Feng 1–4 20.00%
Loser vs Jack-8 3–1 75.00%
Loser vs Nina 1–3 25.00%
Loser vs Victor 4–0 100.00%
Loser vs Alisa 1–2 33.33%
Loser vs Claudio 1–1 50.00%
Loser vs Kuma 1–1 50.00%
Loser vs Zafina 1–1 50.00%
Loser vs Shaheen 1–0 100.00%
Loser vs Panda 0–1 0.00%
Loser vs Clive 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.