Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

caldreta vs Dragunov 111–92 54.68%
caldreta vs Kazuya 91–109 45.50%
caldreta vs Jin 73–105–1 41.01%
caldreta vs Steve 86–79 52.12%
caldreta vs Hwoarang 78–75 50.98%
caldreta vs Paul 58–90 39.19%
caldreta vs King 71–77 47.97%
caldreta vs Lili 71–67 51.45%
caldreta vs Reina 65–73 47.10%
caldreta vs Clive 55–67 45.08%
caldreta vs Heihachi 44–64 40.74%
caldreta vs Law 39–68 36.45%
caldreta vs Yoshimitsu 51–53 49.04%
caldreta vs Bryan 39–64 37.86%
caldreta vs Asuka 52–45 53.61%
caldreta vs Victor 30–58 34.09%
caldreta vs Lars 36–42 46.15%
caldreta vs Devil Jin 25–43 36.76%
caldreta vs Azucena 26–28 48.15%
caldreta vs Eddy 23–31 42.59%
caldreta vs Lidia 23–31 42.59%
caldreta vs Jun 29–21 58.00%
caldreta vs Alisa 15–32 31.91%
caldreta vs Lee 24–22 52.17%
caldreta vs Xiaoyu 17–28 37.78%
caldreta vs Claudio 28–14 66.67%
caldreta vs Leo 19–21 47.50%
caldreta vs Jack-8 14–24 36.84%
caldreta vs Shaheen 15–23 39.47%
caldreta vs Nina 19–19 50.00%
caldreta vs Leroy 17–21 44.74%
caldreta vs Kuma 13–18 41.94%
caldreta vs Feng 15–9 62.50%
caldreta vs Anna 8–8 50.00%
caldreta vs Miary Zo 8–7 53.33%
caldreta vs Raven 6–8 42.86%
caldreta vs Armor King 3–11 21.43%
caldreta vs Panda 4–5 44.44%
caldreta vs Fahkumram 4–5 44.44%
caldreta vs Zafina 2–5 28.57%

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.