Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KANTERLE vs Kazuya 86–74 53.75%
KANTERLE vs Paul 120–37 76.43%
KANTERLE vs King 99–54 64.71%
KANTERLE vs Jin 93–57 62.00%
KANTERLE vs Bryan 78–64 54.93%
KANTERLE vs Dragunov 74–68 52.11%
KANTERLE vs Hwoarang 74–61 54.81%
KANTERLE vs Lili 78–36 68.42%
KANTERLE vs Law 62–49 55.86%
KANTERLE vs Yoshimitsu 62–49 55.86%
KANTERLE vs Steve 67–42 61.47%
KANTERLE vs Asuka 70–35 66.67%
KANTERLE vs Reina 59–46 56.19%
KANTERLE vs Victor 60–40 60.00%
KANTERLE vs Lidia 44–49 47.31%
KANTERLE vs Alisa 48–40 54.55%
KANTERLE vs Azucena 45–43 51.14%
KANTERLE vs Jun 47–37 55.95%
KANTERLE vs Nina 57–24 70.37%
KANTERLE vs Leo 44–29 60.27%
KANTERLE vs Feng 45–26 63.38%
KANTERLE vs Lee 39–29 57.35%
KANTERLE vs Lars 35–28 55.56%
KANTERLE vs Devil Jin 28–32 46.67%
KANTERLE vs Jack-8 28–31 47.46%
KANTERLE vs Leroy 29–28 50.88%
KANTERLE vs Xiaoyu 38–17 69.09%
KANTERLE vs Heihachi 23–31 42.59%
KANTERLE vs Shaheen 24–24 50.00%
KANTERLE vs Armor King 34–12 73.91%
KANTERLE vs Kuma 17–24 41.46%
KANTERLE vs Zafina 19–19 50.00%
KANTERLE vs Raven 16–18 47.06%
KANTERLE vs Eddy 14–20 41.18%
KANTERLE vs Claudio 21–10 67.74%
KANTERLE vs Clive 17–14 54.84%
KANTERLE vs Panda 20–7 74.07%
KANTERLE vs Anna 6–4 60.00%
KANTERLE vs Fahkumram 5–5 50.00%
KANTERLE vs Miary Zo 1–7 12.50%

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.