Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Caranfin vs Kazuya 298–324 47.91%
Caranfin vs Bryan 214–224 48.86%
Caranfin vs Jin 202–211 48.91%
Caranfin vs Reina 225–186 54.74%
Caranfin vs King 198–203 49.38%
Caranfin vs Paul 145–174 45.45%
Caranfin vs Heihachi 150–168 47.17%
Caranfin vs Dragunov 157–150 51.14%
Caranfin vs Hwoarang 118–176 40.14%
Caranfin vs Steve 144–149 49.15%
Caranfin vs Yoshimitsu 121–153 44.16%
Caranfin vs Lili 132–137 49.07%
Caranfin vs Devil Jin 92–132 41.07%
Caranfin vs Lee 114–105 52.05%
Caranfin vs Law 82–90 47.67%
Caranfin vs Jun 93–77 54.71%
Caranfin vs Lidia 72–93 43.64%
Caranfin vs Azucena 80–81 49.69%
Caranfin vs Leo 67–82 44.97%
Caranfin vs Lars 59–81 42.14%
Caranfin vs Xiaoyu 59–79 42.75%
Caranfin vs Feng 55–79 41.04%
Caranfin vs Asuka 68–61 52.71%
Caranfin vs Eddy 51–72 41.46%
Caranfin vs Nina 62–57 52.10%
Caranfin vs Jack-8 35–83 29.66%
Caranfin vs Alisa 48–64 42.86%
Caranfin vs Victor 54–51 51.43%
Caranfin vs Clive 52–52 50.00%
Caranfin vs Raven 42–54 43.75%
Caranfin vs Claudio 45–45 50.00%
Caranfin vs Leroy 32–39 45.07%
Caranfin vs Fahkumram 25–33 43.10%
Caranfin vs Kuma 28–24 53.85%
Caranfin vs Shaheen 16–33 32.65%
Caranfin vs Zafina 13–30 30.23%
Caranfin vs Anna 13–16 44.83%
Caranfin vs Armor King 15–10 60.00%
Caranfin vs Panda 3–11 21.43%

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.