Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Princess vs Kazuya 281–285 49.65%
Princess vs Jin 284–198 58.92%
Princess vs King 198–183 51.97%
Princess vs Bryan 160–154 50.96%
Princess vs Dragunov 172–129 57.14%
Princess vs Law 173–116 59.86%
Princess vs Hwoarang 110–148 42.64%
Princess vs Yoshimitsu 117–118 49.79%
Princess vs Xiaoyu 125–108 53.65%
Princess vs Lili 113–118 48.92%
Princess vs Paul 109–101 51.90%
Princess vs Reina 103–107 49.05%
Princess vs Feng 116–92 55.77%
Princess vs Jun 85–113 42.93%
Princess vs Lars 107–89 54.59%
Princess vs Devil Jin 100–93 51.81%
Princess vs Lee 84–89 48.55%
Princess vs Claudio 68–103 39.77%
Princess vs Steve 91–69 56.88%
Princess vs Victor 75–73 50.68%
Princess vs Heihachi 74–71 51.03%
Princess vs Asuka 76–68 52.78%
Princess vs Alisa 70–68 50.72%
Princess vs Nina 79–58 57.66%
Princess vs Eddy 77–56 57.89%
Princess vs Jack-8 61–50 54.95%
Princess vs Leroy 54–55 49.54%
Princess vs Azucena 54–49 52.43%
Princess vs Leo 42–33 56.00%
Princess vs Raven 43–30 58.90%
Princess vs Shaheen 29–41 41.43%
Princess vs Kuma 29–40 42.03%
Princess vs Zafina 35–28 55.56%
Princess vs Fahkumram 27–25 51.92%
Princess vs Clive 20–25 44.44%
Princess vs Anna 15–26 36.59%
Princess vs Lidia 14–18 43.75%
Princess vs Armor King 9–12 42.86%
Princess vs Panda 9–8 52.94%

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.