Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Dimell

Ratings

Dimell vs Jin 277–249 52.66%
Dimell vs Steve 333–193 63.31%
Dimell vs Hwoarang 248–255 49.30%
Dimell vs King 292–198 59.59%
Dimell vs Lars 249–221 52.98%
Dimell vs Lili 241–218 52.51%
Dimell vs Kazuya 241–189 56.05%
Dimell vs Bryan 238–164 59.20%
Dimell vs Law 222–179 55.36%
Dimell vs Yoshimitsu 207–162 56.10%
Dimell vs Paul 182–175 50.98%
Dimell vs Jun 180–156 53.57%
Dimell vs Reina 177–145 54.97%
Dimell vs Lee 154–166 48.12%
Dimell vs Xiaoyu 154–165 48.28%
Dimell vs Dragunov 179–140 56.11%
Dimell vs Eddy 173–143 54.75%
Dimell vs Victor 156–139 52.88%
Dimell vs Feng 135–153 46.88%
Dimell vs Devil Jin 149–134 52.65%
Dimell vs Raven 137–139 49.64%
Dimell vs Asuka 147–108 57.65%
Dimell vs Leroy 129–122 51.39%
Dimell vs Azucena 137–110 55.47%
Dimell vs Heihachi 114–127 47.30%
Dimell vs Leo 124–114 52.10%
Dimell vs Nina 123–115 51.68%
Dimell vs Zafina 124–112 52.54%
Dimell vs Jack-8 115–95 54.76%
Dimell vs Claudio 95–110 46.34%
Dimell vs Lidia 118–80 59.60%
Dimell vs Alisa 94–97 49.21%
Dimell vs Shaheen 91–81 52.91%
Dimell vs Kuma 76–79 49.03%
Dimell vs Anna 72–81 47.06%
Dimell vs Clive 62–78 44.29%
Dimell vs Armor King 62–68 47.69%
Dimell vs Fahkumram 48–40 54.55%
Dimell vs Panda 40–45–1 47.06%
Dimell vs Miary Zo 11–23 32.35%

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.