Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Dimell

Ratings

Dimell vs Steve 367–211 63.49%
Dimell vs Jin 294–259 53.16%
Dimell vs Hwoarang 261–271 49.06%
Dimell vs King 305–215 58.65%
Dimell vs Lars 267–232 53.51%
Dimell vs Lili 246–225 52.23%
Dimell vs Kazuya 254–196 56.44%
Dimell vs Bryan 261–174 60.00%
Dimell vs Law 239–189 55.84%
Dimell vs Yoshimitsu 229–177 56.40%
Dimell vs Paul 185–185 50.00%
Dimell vs Xiaoyu 167–186 47.31%
Dimell vs Jun 184–164 52.87%
Dimell vs Lee 168–177 48.70%
Dimell vs Dragunov 192–150 56.14%
Dimell vs Eddy 184–157 53.96%
Dimell vs Reina 185–154 54.57%
Dimell vs Victor 161–146 52.44%
Dimell vs Feng 139–167 45.42%
Dimell vs Raven 148–154 49.01%
Dimell vs Devil Jin 156–140 52.70%
Dimell vs Leroy 142–132 51.82%
Dimell vs Asuka 155–117 56.99%
Dimell vs Nina 138–133 50.92%
Dimell vs Azucena 151–120 55.72%
Dimell vs Leo 141–126 52.81%
Dimell vs Zafina 136–122 52.71%
Dimell vs Claudio 119–132 47.41%
Dimell vs Heihachi 119–130 47.79%
Dimell vs Jack-8 117–101 53.67%
Dimell vs Lidia 118–83 58.71%
Dimell vs Alisa 101–99 50.50%
Dimell vs Shaheen 98–90 52.13%
Dimell vs Armor King 94–92 50.54%
Dimell vs Anna 90–87 50.85%
Dimell vs Kuma 80–82 49.38%
Dimell vs Clive 75–82 47.77%
Dimell vs Fahkumram 64–42 60.38%
Dimell vs Panda 48–48–1 50.00%
Dimell vs Miary Zo 19–26 42.22%

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.