Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Karlynga vs Jin 95–58 62.09%
Karlynga vs Kazuya 89–64 58.17%
Karlynga vs Reina 82–59 58.16%
Karlynga vs King 67–65 50.76%
Karlynga vs Heihachi 64–52 55.17%
Karlynga vs Hwoarang 53–33 61.63%
Karlynga vs Steve 52–34 60.47%
Karlynga vs Clive 46–36 56.10%
Karlynga vs Bryan 43–33 56.58%
Karlynga vs Yoshimitsu 36–38 48.65%
Karlynga vs Law 33–39 45.83%
Karlynga vs Dragunov 36–30 54.55%
Karlynga vs Armor King 28–33 45.90%
Karlynga vs Lili 26–34 43.33%
Karlynga vs Eddy 28–32 46.67%
Karlynga vs Lidia 33–25 56.90%
Karlynga vs Lars 38–18 67.86%
Karlynga vs Paul 26–29 47.27%
Karlynga vs Azucena 31–24 56.36%
Karlynga vs Devil Jin 26–23 53.06%
Karlynga vs Asuka 24–21 53.33%
Karlynga vs Lee 22–22 50.00%
Karlynga vs Victor 19–25 43.18%
Karlynga vs Jun 17–26 39.53%
Karlynga vs Nina 25–17 59.52%
Karlynga vs Xiaoyu 24–17 58.54%
Karlynga vs Anna 17–22 43.59%
Karlynga vs Fahkumram 24–14 63.16%
Karlynga vs Feng 17–20 45.95%
Karlynga vs Alisa 17–19 47.22%
Karlynga vs Leo 17–11 60.71%
Karlynga vs Kuma 11–13 45.83%
Karlynga vs Zafina 14–10 58.33%
Karlynga vs Miary Zo 11–13 45.83%
Karlynga vs Claudio 8–15 34.78%
Karlynga vs Jack-8 12–9 57.14%
Karlynga vs Leroy 5–14 26.32%
Karlynga vs Raven 14–5 73.68%
Karlynga vs Panda 7–3 70.00%
Karlynga vs Shaheen 1–5 16.67%

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.