Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kongsaka vs Reina 65–54 54.62%
Kongsaka vs Jin 59–59 50.00%
Kongsaka vs Kazuya 58–58 50.00%
Kongsaka vs Bryan 52–49 51.49%
Kongsaka vs Lili 47–52 47.47%
Kongsaka vs Dragunov 58–34 63.04%
Kongsaka vs King 42–48 46.67%
Kongsaka vs Law 35–39 47.30%
Kongsaka vs Hwoarang 41–33 55.41%
Kongsaka vs Steve 41–32 56.16%
Kongsaka vs Lee 41–31 56.94%
Kongsaka vs Heihachi 42–28 60.00%
Kongsaka vs Paul 22–47 31.88%
Kongsaka vs Jun 45–21 68.18%
Kongsaka vs Asuka 41–24 63.08%
Kongsaka vs Victor 33–29 53.23%
Kongsaka vs Yoshimitsu 28–20–4 58.33%
Kongsaka vs Devil Jin 28–22 56.00%
Kongsaka vs Armor King 27–23 54.00%
Kongsaka vs Lars 24–23 51.06%
Kongsaka vs Lidia 23–24 48.94%
Kongsaka vs Leo 21–18 53.85%
Kongsaka vs Feng 14–23 37.84%
Kongsaka vs Nina 18–19 48.65%
Kongsaka vs Alisa 15–18 45.45%
Kongsaka vs Leroy 16–16 50.00%
Kongsaka vs Jack-8 15–15 50.00%
Kongsaka vs Azucena 17–12 58.62%
Kongsaka vs Fahkumram 13–16 44.83%
Kongsaka vs Shaheen 13–15 46.43%
Kongsaka vs Miary Zo 19–9 67.86%
Kongsaka vs Anna 17–10 62.96%
Kongsaka vs Zafina 12–14 46.15%
Kongsaka vs Xiaoyu 14–8 63.64%
Kongsaka vs Clive 6–13 31.58%
Kongsaka vs Eddy 7–11 38.89%
Kongsaka vs Claudio 7–10 41.18%
Kongsaka vs Kuma 7–9 43.75%
Kongsaka vs Raven 7–6 53.85%
Kongsaka vs Panda 5–4 55.56%

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.