Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fakeskin vs Bryan 110–85 56.41%
Fakeskin vs Jin 106–80 56.99%
Fakeskin vs Hwoarang 83–68 54.97%
Fakeskin vs Kazuya 71–71 50.00%
Fakeskin vs King 64–70 47.76%
Fakeskin vs Dragunov 67–55 54.92%
Fakeskin vs Law 59–39 60.20%
Fakeskin vs Paul 46–50 47.92%
Fakeskin vs Yoshimitsu 55–41 57.29%
Fakeskin vs Lee 49–38 56.32%
Fakeskin vs Reina 37–32 53.62%
Fakeskin vs Lars 33–30 52.38%
Fakeskin vs Heihachi 43–20 68.25%
Fakeskin vs Clive 33–27 55.00%
Fakeskin vs Azucena 32–26 55.17%
Fakeskin vs Feng 29–28 50.88%
Fakeskin vs Devil Jin 28–27 50.91%
Fakeskin vs Lidia 27–28 49.09%
Fakeskin vs Shaheen 22–26 45.83%
Fakeskin vs Asuka 24–23 51.06%
Fakeskin vs Leo 23–24 48.94%
Fakeskin vs Nina 17–30 36.17%
Fakeskin vs Lili 23–20 53.49%
Fakeskin vs Victor 14–29 32.56%
Fakeskin vs Armor King 19–23 45.24%
Fakeskin vs Steve 22–19 53.66%
Fakeskin vs Xiaoyu 16–23 41.03%
Fakeskin vs Raven 21–18 53.85%
Fakeskin vs Leroy 15–23 39.47%
Fakeskin vs Eddy 15–23 39.47%
Fakeskin vs Jack-8 13–23 36.11%
Fakeskin vs Claudio 18–14 56.25%
Fakeskin vs Jun 7–24 22.58%
Fakeskin vs Miary Zo 12–17 41.38%
Fakeskin vs Anna 10–12 45.45%
Fakeskin vs Fahkumram 9–10 47.37%
Fakeskin vs Kuma 7–11 38.89%
Fakeskin vs Alisa 13–4 76.47%
Fakeskin vs Zafina 2–12 14.29%
Fakeskin vs Panda 0–1 0.00%

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.