Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kazzzino vs Jin 81–60 57.45%
Kazzzino vs Kazuya 66–75 46.81%
Kazzzino vs King 75–64 53.96%
Kazzzino vs Dragunov 67–55 54.92%
Kazzzino vs Hwoarang 65–41 61.32%
Kazzzino vs Bryan 56–48 53.85%
Kazzzino vs Paul 44–55 44.44%
Kazzzino vs Law 60–38 61.22%
Kazzzino vs Asuka 46–50 47.92%
Kazzzino vs Yoshimitsu 47–46 50.54%
Kazzzino vs Reina 50–42 54.35%
Kazzzino vs Steve 50–38 56.82%
Kazzzino vs Heihachi 27–60 31.03%
Kazzzino vs Victor 43–41 51.19%
Kazzzino vs Lili 48–31 60.76%
Kazzzino vs Xiaoyu 30–45 40.00%
Kazzzino vs Feng 36–31 53.73%
Kazzzino vs Devil Jin 33–32 50.77%
Kazzzino vs Lars 31–30 50.82%
Kazzzino vs Alisa 30–30 50.00%
Kazzzino vs Leo 29–28 50.88%
Kazzzino vs Nina 21–33 38.89%
Kazzzino vs Lee 37–16 69.81%
Kazzzino vs Azucena 20–33 37.74%
Kazzzino vs Jun 30–20 60.00%
Kazzzino vs Claudio 23–22 51.11%
Kazzzino vs Eddy 17–25 40.48%
Kazzzino vs Raven 16–20 44.44%
Kazzzino vs Leroy 22–12 64.71%
Kazzzino vs Kuma 10–20 33.33%
Kazzzino vs Shaheen 13–16 44.83%
Kazzzino vs Zafina 14–13 51.85%
Kazzzino vs Jack-8 9–14 39.13%
Kazzzino vs Lidia 10–11 47.62%
Kazzzino vs Fahkumram 9–4 69.23%
Kazzzino vs Panda 3–4 42.86%
Kazzzino vs Clive 0–6 0.00%
Kazzzino vs Anna 4–0 100.00%
Kazzzino vs Armor King 2–1 66.67%
Kazzzino vs Miary Zo 2–0 100.00%

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.