Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Don Buck vs Hwoarang 96–82 53.93%
Don Buck vs Kazuya 90–86 51.14%
Don Buck vs Bryan 79–91 46.47%
Don Buck vs Jin 70–66 51.47%
Don Buck vs King 64–70 47.76%
Don Buck vs Paul 76–57 57.14%
Don Buck vs Law 81–46 63.78%
Don Buck vs Dragunov 61–56 52.14%
Don Buck vs Heihachi 52–64 44.83%
Don Buck vs Reina 57–56 50.44%
Don Buck vs Steve 51–61 45.54%
Don Buck vs Yoshimitsu 40–42 48.78%
Don Buck vs Lee 28–54 34.15%
Don Buck vs Devil Jin 38–41 48.10%
Don Buck vs Lili 39–36 52.00%
Don Buck vs Lars 46–28 62.16%
Don Buck vs Asuka 32–40 44.44%
Don Buck vs Azucena 36–29 55.38%
Don Buck vs Alisa 30–32 48.39%
Don Buck vs Feng 30–22 57.69%
Don Buck vs Jun 24–27 47.06%
Don Buck vs Leroy 23–20 53.49%
Don Buck vs Xiaoyu 19–23 45.24%
Don Buck vs Victor 24–17 58.54%
Don Buck vs Eddy 22–19 53.66%
Don Buck vs Jack-8 17–21 44.74%
Don Buck vs Claudio 19–18 51.35%
Don Buck vs Raven 14–23 37.84%
Don Buck vs Leo 16–18 47.06%
Don Buck vs Clive 7–27 20.59%
Don Buck vs Nina 17–14 54.84%
Don Buck vs Lidia 17–14 54.84%
Don Buck vs Shaheen 16–14 53.33%
Don Buck vs Zafina 5–18 21.74%
Don Buck vs Fahkumram 10–11 47.62%
Don Buck vs Panda 7–13 35.00%
Don Buck vs Kuma 8–8 50.00%
Don Buck vs Anna 6–7 46.15%
Don Buck vs Armor King 6–7 46.15%
Don Buck vs Miary Zo 0–2 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.