Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

BOOSTER vs Bryan 61–77 44.20%
BOOSTER vs Jin 60–67 47.24%
BOOSTER vs Kazuya 81–46 63.78%
BOOSTER vs King 62–56 52.54%
BOOSTER vs Hwoarang 59–56 51.30%
BOOSTER vs Yoshimitsu 34–52 39.53%
BOOSTER vs Steve 46–39 54.12%
BOOSTER vs Paul 29–46 38.67%
BOOSTER vs Dragunov 37–36 50.68%
BOOSTER vs Reina 32–38 45.71%
BOOSTER vs Devil Jin 37–25 59.68%
BOOSTER vs Lars 29–26 52.73%
BOOSTER vs Law 23–30 43.40%
BOOSTER vs Asuka 26–23 53.06%
BOOSTER vs Jack-8 23–24 48.94%
BOOSTER vs Lee 27–19 58.70%
BOOSTER vs Victor 23–19 54.76%
BOOSTER vs Jun 19–21 47.50%
BOOSTER vs Alisa 17–22 43.59%
BOOSTER vs Nina 22–17 56.41%
BOOSTER vs Azucena 18–20 47.37%
BOOSTER vs Lili 18–18 50.00%
BOOSTER vs Claudio 14–21 40.00%
BOOSTER vs Feng 17–15 53.12%
BOOSTER vs Eddy 10–21 32.26%
BOOSTER vs Xiaoyu 12–16 42.86%
BOOSTER vs Heihachi 19–8 70.37%
BOOSTER vs Leo 17–8 68.00%
BOOSTER vs Leroy 9–16 36.00%
BOOSTER vs Fahkumram 11–12 47.83%
BOOSTER vs Zafina 13–8 61.90%
BOOSTER vs Kuma 7–10 41.18%
BOOSTER vs Raven 7–10 41.18%
BOOSTER vs Shaheen 9–6 60.00%
BOOSTER vs Lidia 4–5 44.44%
BOOSTER vs Clive 6–3 66.67%
BOOSTER vs Anna 5–2 71.43%
BOOSTER vs Panda 0–5 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.