Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BigTooly vs Law 119–113 51.29%
BigTooly vs Jin 97–126 43.50%
BigTooly vs King 96–102 48.48%
BigTooly vs Kazuya 80–101 44.20%
BigTooly vs Steve 75–103 42.13%
BigTooly vs Hwoarang 77–87 46.95%
BigTooly vs Armor King 66–84 44.00%
BigTooly vs Heihachi 49–68 41.88%
BigTooly vs Bryan 45–61 42.45%
BigTooly vs Eddy 47–54 46.53%
BigTooly vs Jun 32–52 38.10%
BigTooly vs Dragunov 28–55 33.73%
BigTooly vs Lee 33–47 41.25%
BigTooly vs Reina 29–48 37.66%
BigTooly vs Paul 23–52 30.67%
BigTooly vs Fahkumram 31–40 43.66%
BigTooly vs Victor 30–40 42.86%
BigTooly vs Azucena 38–31 55.07%
BigTooly vs Clive 31–38 44.93%
BigTooly vs Nina 29–37 43.94%
BigTooly vs Alisa 22–37 37.29%
BigTooly vs Devil Jin 25–33 43.10%
BigTooly vs Asuka 20–35 36.36%
BigTooly vs Lili 16–35 31.37%
BigTooly vs Xiaoyu 19–31 38.00%
BigTooly vs Anna 17–30 36.17%
BigTooly vs Miary Zo 18–25 41.86%
BigTooly vs Yoshimitsu 13–29 30.95%
BigTooly vs Jack-8 13–27 32.50%
BigTooly vs Lars 14–25 35.90%
BigTooly vs Lidia 15–24 38.46%
BigTooly vs Claudio 11–17 39.29%
BigTooly vs Feng 6–19 24.00%
BigTooly vs Leroy 14–10 58.33%
BigTooly vs Shaheen 11–12 47.83%
BigTooly vs Leo 8–12 40.00%
BigTooly vs Kuma 5–10 33.33%
BigTooly vs Zafina 5–9 35.71%
BigTooly vs Raven 6–7 46.15%
BigTooly vs Panda 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.