Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ferniella vs Bryan 139–121 53.46%
Ferniella vs Kazuya 90–91 49.72%
Ferniella vs Steve 92–82–1 52.87%
Ferniella vs Jin 81–80 50.31%
Ferniella vs King 85–58 59.44%
Ferniella vs Hwoarang 57–68 45.60%
Ferniella vs Law 50–39 56.18%
Ferniella vs Yoshimitsu 42–38 52.50%
Ferniella vs Lars 38–36 51.35%
Ferniella vs Feng 42–31 57.53%
Ferniella vs Dragunov 50–23 68.49%
Ferniella vs Xiaoyu 23–40 36.51%
Ferniella vs Lili 34–25 57.63%
Ferniella vs Paul 39–17 69.64%
Ferniella vs Devil Jin 28–28 50.00%
Ferniella vs Lee 27–29 48.21%
Ferniella vs Reina 24–31 43.64%
Ferniella vs Jun 33–19–1 63.46%
Ferniella vs Eddy 21–24 46.67%
Ferniella vs Clive 20–25 44.44%
Ferniella vs Leroy 21–21 50.00%
Ferniella vs Heihachi 19–22 46.34%
Ferniella vs Azucena 17–22 43.59%
Ferniella vs Asuka 21–17 55.26%
Ferniella vs Jack-8 17–20 45.95%
Ferniella vs Alisa 18–16 52.94%
Ferniella vs Nina 10–22 31.25%
Ferniella vs Victor 8–16 33.33%
Ferniella vs Shaheen 7–15 31.82%
Ferniella vs Claudio 11–10 52.38%
Ferniella vs Leo 14–6 70.00%
Ferniella vs Kuma 10–10 50.00%
Ferniella vs Zafina 13–7 65.00%
Ferniella vs Raven 11–9 55.00%
Ferniella vs Fahkumram 8–2 80.00%
Ferniella vs Anna 5–4 55.56%
Ferniella vs Lidia 0–7 0.00%
Ferniella vs Armor King 2–1 66.67%
Ferniella vs Miary Zo 2–1 66.67%
Ferniella vs Panda 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.