Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big Lejon vs King 85–93 47.75%
Big Lejon vs Bryan 60–88 40.54%
Big Lejon vs Kazuya 66–76 46.48%
Big Lejon vs Jin 70–59 54.26%
Big Lejon vs Fahkumram 56–71 44.09%
Big Lejon vs Hwoarang 59–56 51.30%
Big Lejon vs Eddy 52–52 50.00%
Big Lejon vs Law 39–61 39.00%
Big Lejon vs Steve 45–53 45.92%
Big Lejon vs Reina 55–41 57.29%
Big Lejon vs Azucena 54–41 56.84%
Big Lejon vs Yoshimitsu 46–47 49.46%
Big Lejon vs Heihachi 40–46 46.51%
Big Lejon vs Paul 37–43 46.25%
Big Lejon vs Lili 31–45 40.79%
Big Lejon vs Lars 35–39 47.30%
Big Lejon vs Dragunov 24–36 40.00%
Big Lejon vs Lee 29–31 48.33%
Big Lejon vs Asuka 21–34 38.18%
Big Lejon vs Xiaoyu 24–28 46.15%
Big Lejon vs Jun 26–25 50.98%
Big Lejon vs Victor 15–27 35.71%
Big Lejon vs Lidia 14–24 36.84%
Big Lejon vs Alisa 15–20 42.86%
Big Lejon vs Leo 15–17 46.88%
Big Lejon vs Anna 14–18 43.75%
Big Lejon vs Jack-8 17–14 54.84%
Big Lejon vs Leroy 12–19 38.71%
Big Lejon vs Raven 11–19 36.67%
Big Lejon vs Nina 19–10 65.52%
Big Lejon vs Clive 13–15 46.43%
Big Lejon vs Feng 11–16 40.74%
Big Lejon vs Claudio 6–17 26.09%
Big Lejon vs Zafina 13–10 56.52%
Big Lejon vs Kuma 5–14 26.32%
Big Lejon vs Devil Jin 8–10 44.44%
Big Lejon vs Shaheen 6–11 35.29%
Big Lejon vs Panda 5–8 38.46%
Big Lejon vs Armor King 0–1 0.00%

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.