Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Luddy Jr vs Heihachi 90–59 60.40%
Luddy Jr vs Kazuya 80–54 59.70%
Luddy Jr vs Jin 82–36 69.49%
Luddy Jr vs Bryan 83–31 72.81%
Luddy Jr vs King 80–25 76.19%
Luddy Jr vs Law 71–31 69.61%
Luddy Jr vs Reina 65–35 65.00%
Luddy Jr vs Dragunov 59–39 60.20%
Luddy Jr vs Steve 62–32 65.96%
Luddy Jr vs Hwoarang 57–25 69.51%
Luddy Jr vs Lidia 40–37 51.95%
Luddy Jr vs Fahkumram 40–37 51.95%
Luddy Jr vs Jun 50–26 65.79%
Luddy Jr vs Lee 40–27 59.70%
Luddy Jr vs Asuka 42–24 63.64%
Luddy Jr vs Devil Jin 41–20 67.21%
Luddy Jr vs Azucena 37–19 66.07%
Luddy Jr vs Lars 39–15 72.22%
Luddy Jr vs Paul 38–15 71.70%
Luddy Jr vs Lili 25–28 47.17%
Luddy Jr vs Eddy 37–13–1 74.00%
Luddy Jr vs Yoshimitsu 36–11 76.60%
Luddy Jr vs Xiaoyu 23–22 51.11%
Luddy Jr vs Clive 25–18 58.14%
Luddy Jr vs Armor King 27–11 71.05%
Luddy Jr vs Nina 29–6 82.86%
Luddy Jr vs Victor 26–8 76.47%
Luddy Jr vs Leo 20–11 64.52%
Luddy Jr vs Leroy 20–10 66.67%
Luddy Jr vs Shaheen 19–7 73.08%
Luddy Jr vs Claudio 15–10 60.00%
Luddy Jr vs Feng 12–12 50.00%
Luddy Jr vs Alisa 13–11 54.17%
Luddy Jr vs Kuma 11–8 57.89%
Luddy Jr vs Raven 11–8 57.89%
Luddy Jr vs Anna 9–10 47.37%
Luddy Jr vs Miary Zo 8–11 42.11%
Luddy Jr vs Jack-8 12–6 66.67%
Luddy Jr vs Zafina 10–5 66.67%
Luddy Jr vs Panda 9–1 90.00%

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.