Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Fabulous vs King 82–59 58.16%
Fabulous vs Hwoarang 66–57 53.66%
Fabulous vs Kazuya 63–53 54.31%
Fabulous vs Reina 55–57 49.11%
Fabulous vs Jin 61–50 54.95%
Fabulous vs Paul 61–49 55.45%
Fabulous vs Steve 71–39 64.55%
Fabulous vs Bryan 51–54 48.57%
Fabulous vs Yoshimitsu 45–53 45.92%
Fabulous vs Dragunov 47–50 48.45%
Fabulous vs Law 59–37 61.46%
Fabulous vs Lili 46–46 50.00%
Fabulous vs Armor King 46–36 56.10%
Fabulous vs Azucena 46–33 58.23%
Fabulous vs Lee 41–28 59.42%
Fabulous vs Asuka 35–33 51.47%
Fabulous vs Victor 36–31 53.73%
Fabulous vs Jun 30–36 45.45%
Fabulous vs Raven 30–32 48.39%
Fabulous vs Lars 27–33 45.00%
Fabulous vs Nina 25–31 44.64%
Fabulous vs Eddy 29–25 53.70%
Fabulous vs Feng 26–27 49.06%
Fabulous vs Jack-8 24–27 47.06%
Fabulous vs Leo 26–22 54.17%
Fabulous vs Xiaoyu 18–29 38.30%
Fabulous vs Devil Jin 20–24 45.45%
Fabulous vs Leroy 21–21 50.00%
Fabulous vs Alisa 17–24 41.46%
Fabulous vs Heihachi 19–22 46.34%
Fabulous vs Kuma 13–24 35.14%
Fabulous vs Lidia 15–16 48.39%
Fabulous vs Claudio 16–13 55.17%
Fabulous vs Anna 12–17 41.38%
Fabulous vs Fahkumram 10–15 40.00%
Fabulous vs Zafina 7–14 33.33%
Fabulous vs Miary Zo 7–9 43.75%
Fabulous vs Shaheen 11–4 73.33%
Fabulous vs Panda 4–1 80.00%
Fabulous vs Clive 2–3 40.00%

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.