Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

--------------x
LisanAlGaib
playforfunonly
ililililililil
--------------x vs Kazuya 24–18 57.14%
--------------x vs Dragunov 23–16 58.97%
--------------x vs Steve 14–14 50.00%
--------------x vs Jin 20–6 76.92%
--------------x vs Eddy 15–9 62.50%
--------------x vs Hwoarang 18–5 78.26%
--------------x vs King 17–4 80.95%
--------------x vs Asuka 17–3 85.00%
--------------x vs Victor 11–9 55.00%
--------------x vs Jack-8 13–5 72.22%
--------------x vs Lili 12–6 66.67%
--------------x vs Reina 11–7 61.11%
--------------x vs Bryan 11–6 64.71%
--------------x vs Feng 12–5 70.59%
--------------x vs Law 13–3 81.25%
--------------x vs Leroy 7–9 43.75%
--------------x vs Jun 9–7 56.25%
--------------x vs Azucena 10–5 66.67%
--------------x vs Yoshimitsu 7–7 50.00%
--------------x vs Devil Jin 7–6 53.85%
--------------x vs Shaheen 6–6 50.00%
--------------x vs Alisa 7–4 63.64%
--------------x vs Claudio 4–7 36.36%
--------------x vs Nina 10–1 90.91%
--------------x vs Lars 4–6 40.00%
--------------x vs Leo 2–6 25.00%
--------------x vs Lee 6–2 75.00%
--------------x vs Paul 5–2 71.43%
--------------x vs Kuma 5–2 71.43%
--------------x vs Raven 4–1 80.00%
--------------x vs Xiaoyu 1–3 25.00%
--------------x vs Zafina 4–0 100.00%

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.