Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

SILKSONG vs Jin 69–71 49.29%
SILKSONG vs Hwoarang 68–62 52.31%
SILKSONG vs King 70–58 54.69%
SILKSONG vs Kazuya 71–50 58.68%
SILKSONG vs Bryan 50–56 47.17%
SILKSONG vs Paul 49–45 52.13%
SILKSONG vs Reina 40–40 50.00%
SILKSONG vs Law 44–30 59.46%
SILKSONG vs Yoshimitsu 33–34 49.25%
SILKSONG vs Steve 41–24 63.08%
SILKSONG vs Devil Jin 29–27 51.79%
SILKSONG vs Xiaoyu 23–27 46.00%
SILKSONG vs Dragunov 19–29 39.58%
SILKSONG vs Heihachi 28–19 59.57%
SILKSONG vs Lars 24–21 53.33%
SILKSONG vs Armor King 23–22 51.11%
SILKSONG vs Nina 24–20 54.55%
SILKSONG vs Leroy 27–17 61.36%
SILKSONG vs Alisa 24–17 58.54%
SILKSONG vs Lili 18–22 45.00%
SILKSONG vs Leo 19–20 48.72%
SILKSONG vs Victor 15–24 38.46%
SILKSONG vs Jack-8 27–11 71.05%
SILKSONG vs Zafina 14–21 40.00%
SILKSONG vs Jun 16–19 45.71%
SILKSONG vs Anna 13–22 37.14%
SILKSONG vs Fahkumram 17–18 48.57%
SILKSONG vs Feng 15–18 45.45%
SILKSONG vs Asuka 12–20 37.50%
SILKSONG vs Eddy 14–18 43.75%
SILKSONG vs Lee 10–16 38.46%
SILKSONG vs Shaheen 14–11 56.00%
SILKSONG vs Lidia 11–9 55.00%
SILKSONG vs Kuma 6–13 31.58%
SILKSONG vs Claudio 9–9 50.00%
SILKSONG vs Raven 9–9 50.00%
SILKSONG vs Azucena 6–10 37.50%
SILKSONG vs Clive 4–11 26.67%
SILKSONG vs Miary Zo 1–5 16.67%
SILKSONG vs Panda 2–2 50.00%

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.