Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tofu(-_-) vs Kazuya 80–43 65.04%
Tofu(-_-) vs King 73–40 64.60%
Tofu(-_-) vs Jin 68–24 73.91%
Tofu(-_-) vs Bryan 38–45 45.78%
Tofu(-_-) vs Steve 57–26 68.67%
Tofu(-_-) vs Hwoarang 50–25 66.67%
Tofu(-_-) vs Law 45–23 66.18%
Tofu(-_-) vs Jun 39–26 60.00%
Tofu(-_-) vs Paul 32–32 50.00%
Tofu(-_-) vs Asuka 47–15 75.81%
Tofu(-_-) vs Heihachi 42–16 72.41%
Tofu(-_-) vs Reina 44–13 77.19%
Tofu(-_-) vs Lidia 29–20 59.18%
Tofu(-_-) vs Dragunov 28–19 59.57%
Tofu(-_-) vs Yoshimitsu 30–16 65.22%
Tofu(-_-) vs Xiaoyu 27–19 58.70%
Tofu(-_-) vs Azucena 29–16 64.44%
Tofu(-_-) vs Lars 25–16 60.98%
Tofu(-_-) vs Devil Jin 20–19 51.28%
Tofu(-_-) vs Eddy 27–12 69.23%
Tofu(-_-) vs Feng 19–18 51.35%
Tofu(-_-) vs Lili 23–13 63.89%
Tofu(-_-) vs Lee 19–14 57.58%
Tofu(-_-) vs Leroy 17–14 54.84%
Tofu(-_-) vs Leo 17–13 56.67%
Tofu(-_-) vs Nina 21–9 70.00%
Tofu(-_-) vs Raven 17–10 62.96%
Tofu(-_-) vs Victor 14–12 53.85%
Tofu(-_-) vs Jack-8 16–8 66.67%
Tofu(-_-) vs Alisa 18–4 81.82%
Tofu(-_-) vs Clive 19–2 90.48%
Tofu(-_-) vs Kuma 15–4 78.95%
Tofu(-_-) vs Fahkumram 8–8 50.00%
Tofu(-_-) vs Armor King 7–9 43.75%
Tofu(-_-) vs Claudio 8–5 61.54%
Tofu(-_-) vs Zafina 5–7 41.67%
Tofu(-_-) vs Anna 4–4 50.00%
Tofu(-_-) vs Shaheen 4–0 100.00%
Tofu(-_-) vs Miary Zo 2–2 50.00%
Tofu(-_-) vs Panda 1–0 100.00%

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.