Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Myrtillo vs Jin 103–81 55.98%
Myrtillo vs Kazuya 80–90 47.06%
Myrtillo vs Hwoarang 69–77 47.26%
Myrtillo vs Law 60–83 41.96%
Myrtillo vs King 73–69 51.41%
Myrtillo vs Bryan 65–53 55.08%
Myrtillo vs Reina 46–61 42.99%
Myrtillo vs Steve 45–55 45.00%
Myrtillo vs Lili 36–54 40.00%
Myrtillo vs Paul 34–53 39.08%
Myrtillo vs Heihachi 32–55 36.78%
Myrtillo vs Dragunov 39–45 46.43%
Myrtillo vs Armor King 39–45 46.43%
Myrtillo vs Yoshimitsu 35–45 43.75%
Myrtillo vs Eddy 35–38 47.95%
Myrtillo vs Asuka 34–33 50.75%
Myrtillo vs Feng 29–36 44.62%
Myrtillo vs Clive 24–41 36.92%
Myrtillo vs Jun 32–31 50.79%
Myrtillo vs Devil Jin 27–32 45.76%
Myrtillo vs Nina 35–21 62.50%
Myrtillo vs Alisa 20–35 36.36%
Myrtillo vs Fahkumram 29–25 53.70%
Myrtillo vs Lee 24–24–1 50.00%
Myrtillo vs Lidia 24–22 52.17%
Myrtillo vs Lars 29–15 65.91%
Myrtillo vs Azucena 12–28 30.00%
Myrtillo vs Xiaoyu 21–18 53.85%
Myrtillo vs Jack-8 15–20 42.86%
Myrtillo vs Leroy 13–21 38.24%
Myrtillo vs Victor 14–19 42.42%
Myrtillo vs Claudio 8–24 25.00%
Myrtillo vs Anna 17–13 56.67%
Myrtillo vs Kuma 12–16 42.86%
Myrtillo vs Leo 15–10 60.00%
Myrtillo vs Miary Zo 9–13 40.91%
Myrtillo vs Raven 14–5 73.68%
Myrtillo vs Zafina 11–4 73.33%
Myrtillo vs Shaheen 4–5 44.44%
Myrtillo vs Panda 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.