Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KingKazama vs Jin 74–80 48.05%
KingKazama vs Kazuya 70–71 49.65%
KingKazama vs Hwoarang 58–54 51.79%
KingKazama vs Law 50–42 54.35%
KingKazama vs Bryan 44–47 48.35%
KingKazama vs King 41–42 49.40%
KingKazama vs Yoshimitsu 39–41 48.75%
KingKazama vs Paul 47–28 62.67%
KingKazama vs Dragunov 34–34 50.00%
KingKazama vs Feng 33–29 53.23%
KingKazama vs Heihachi 31–30 50.82%
KingKazama vs Steve 35–24 59.32%
KingKazama vs Lili 30–28 51.72%
KingKazama vs Jun 36–22 62.07%
KingKazama vs Devil Jin 24–32 42.86%
KingKazama vs Reina 29–26 52.73%
KingKazama vs Eddy 30–25 54.55%
KingKazama vs Lee 23–28 45.10%
KingKazama vs Nina 33–17 66.00%
KingKazama vs Lidia 24–22 52.17%
KingKazama vs Asuka 23–19 54.76%
KingKazama vs Victor 16–21 43.24%
KingKazama vs Alisa 19–12 61.29%
KingKazama vs Raven 20–11 64.52%
KingKazama vs Azucena 16–14 53.33%
KingKazama vs Xiaoyu 15–13 53.57%
KingKazama vs Lars 12–9 57.14%
KingKazama vs Leo 8–10 44.44%
KingKazama vs Leroy 6–10 37.50%
KingKazama vs Claudio 7–8 46.67%
KingKazama vs Kuma 9–6 60.00%
KingKazama vs Jack-8 7–7 50.00%
KingKazama vs Zafina 8–3 72.73%
KingKazama vs Shaheen 2–8 20.00%
KingKazama vs Fahkumram 2–7 22.22%
KingKazama vs Clive 3–1 75.00%
KingKazama vs Panda 1–2 33.33%
KingKazama vs Armor King 1–2 33.33%

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.