Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
TiffanySleet

Ratings

TiffanySleet vs Dragunov 89–98 47.59%
TiffanySleet vs Kazuya 96–88 52.17%
TiffanySleet vs Clive 82–84 49.40%
TiffanySleet vs Bryan 88–77 53.33%
TiffanySleet vs Jin 73–73 50.00%
TiffanySleet vs King 69–58–1 54.33%
TiffanySleet vs Steve 52–75 40.94%
TiffanySleet vs Asuka 72–55 56.69%
TiffanySleet vs Paul 68–58 53.97%
TiffanySleet vs Hwoarang 52–73 41.60%
TiffanySleet vs Reina 61–58 51.26%
TiffanySleet vs Lars 62–52 54.39%
TiffanySleet vs Heihachi 56–56 50.00%
TiffanySleet vs Lili 57–53 51.82%
TiffanySleet vs Lidia 32–74 30.19%
TiffanySleet vs Law 68–36 65.38%
TiffanySleet vs Feng 51–48 51.52%
TiffanySleet vs Yoshimitsu 47–51 47.96%
TiffanySleet vs Jun 61–37 62.24%
TiffanySleet vs Jack-8 43–51 45.74%
TiffanySleet vs Azucena 42–51 45.16%
TiffanySleet vs Victor 41–45 47.67%
TiffanySleet vs Xiaoyu 34–42 44.74%
TiffanySleet vs Devil Jin 36–40 47.37%
TiffanySleet vs Nina 39–35 52.70%
TiffanySleet vs Lee 33–39 45.83%
TiffanySleet vs Claudio 34–31 52.31%
TiffanySleet vs Alisa 41–22 65.08%
TiffanySleet vs Leo 32–30 51.61%
TiffanySleet vs Shaheen 31–31 50.00%
TiffanySleet vs Raven 27–22 55.10%
TiffanySleet vs Kuma 23–24 48.94%
TiffanySleet vs Leroy 18–28 39.13%
TiffanySleet vs Zafina 27–18 60.00%
TiffanySleet vs Eddy 14–27 34.15%
TiffanySleet vs Panda 12–19 38.71%

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.