Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Bandicat vs Kazuya 115–67 63.19%
Bandicat vs King 90–85 51.43%
Bandicat vs Bryan 74–77 49.01%
Bandicat vs Jin 73–58–1 55.73%
Bandicat vs Reina 47–54 46.53%
Bandicat vs Heihachi 39–55 41.49%
Bandicat vs Steve 42–48 46.67%
Bandicat vs Paul 43–43 50.00%
Bandicat vs Hwoarang 40–46 46.51%
Bandicat vs Lee 43–37 53.75%
Bandicat vs Lili 48–22 68.57%
Bandicat vs Clive 30–39 43.48%
Bandicat vs Dragunov 31–34 47.69%
Bandicat vs Law 30–33 47.62%
Bandicat vs Yoshimitsu 31–32 49.21%
Bandicat vs Jun 25–38 39.68%
Bandicat vs Asuka 25–28 47.17%
Bandicat vs Nina 23–28 45.10%
Bandicat vs Devil Jin 20–30 40.00%
Bandicat vs Feng 25–25 50.00%
Bandicat vs Victor 18–31 36.73%
Bandicat vs Lidia 21–28 42.86%
Bandicat vs Alisa 18–29 38.30%
Bandicat vs Lars 21–24 46.67%
Bandicat vs Leroy 18–27 40.00%
Bandicat vs Azucena 19–24 44.19%
Bandicat vs Claudio 16–22 42.11%
Bandicat vs Eddy 18–17 51.43%
Bandicat vs Xiaoyu 12–21–1 36.36%
Bandicat vs Leo 13–19 40.62%
Bandicat vs Armor King 12–14 46.15%
Bandicat vs Raven 6–17 26.09%
Bandicat vs Jack-8 4–18 18.18%
Bandicat vs Anna 10–8 55.56%
Bandicat vs Zafina 11–5 68.75%
Bandicat vs Shaheen 7–2 77.78%
Bandicat vs Kuma 1–6 14.29%
Bandicat vs Miary Zo 4–0 100.00%
Bandicat vs Panda 0–3 0.00%
Bandicat vs Fahkumram 1–2 33.33%

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.