Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Pilsbury vs Kazuya 87–103 45.79%
Pilsbury vs King 90–62 59.21%
Pilsbury vs Bryan 69–81 46.00%
Pilsbury vs Heihachi 60–84 41.67%
Pilsbury vs Jin 63–77 45.00%
Pilsbury vs Steve 73–66 52.52%
Pilsbury vs Dragunov 43–75 36.44%
Pilsbury vs Hwoarang 62–53 53.91%
Pilsbury vs Reina 68–45 60.18%
Pilsbury vs Law 55–46 54.46%
Pilsbury vs Lee 27–57 32.14%
Pilsbury vs Armor King 36–45 44.44%
Pilsbury vs Nina 36–40 47.37%
Pilsbury vs Asuka 39–36 52.00%
Pilsbury vs Lili 40–34 54.05%
Pilsbury vs Jun 39–35 52.70%
Pilsbury vs Lars 29–43 40.28%
Pilsbury vs Victor 34–32 51.52%
Pilsbury vs Azucena 35–30 53.85%
Pilsbury vs Lidia 28–37 43.08%
Pilsbury vs Leo 31–31 50.00%
Pilsbury vs Feng 30–28 51.72%
Pilsbury vs Eddy 23–34 40.35%
Pilsbury vs Yoshimitsu 22–33 40.00%
Pilsbury vs Paul 27–27 50.00%
Pilsbury vs Devil Jin 30–23 56.60%
Pilsbury vs Alisa 19–31 38.00%
Pilsbury vs Xiaoyu 15–24 38.46%
Pilsbury vs Jack-8 12–20 37.50%
Pilsbury vs Leroy 15–17 46.88%
Pilsbury vs Shaheen 9–22 29.03%
Pilsbury vs Kuma 13–16 44.83%
Pilsbury vs Miary Zo 14–15 48.28%
Pilsbury vs Zafina 14–14 50.00%
Pilsbury vs Raven 13–14 48.15%
Pilsbury vs Fahkumram 10–14 41.67%
Pilsbury vs Claudio 12–11 52.17%
Pilsbury vs Clive 9–12 42.86%
Pilsbury vs Panda 8–8 50.00%
Pilsbury vs Anna 11–5 68.75%

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.