Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Matthew vs King 121–135 47.27%
Matthew vs Jin 109–125 46.58%
Matthew vs Reina 109–107 50.46%
Matthew vs Kazuya 118–96 55.14%
Matthew vs Hwoarang 61–118 34.08%
Matthew vs Law 92–86 51.69%
Matthew vs Eddy 84–90 48.28%
Matthew vs Bryan 104–67 60.82%
Matthew vs Steve 85–77 52.47%
Matthew vs Lili 55–75 42.31%
Matthew vs Azucena 62–66 48.44%
Matthew vs Jun 54–66 45.00%
Matthew vs Dragunov 42–75 35.90%
Matthew vs Yoshimitsu 51–65 43.97%
Matthew vs Lars 49–67 42.24%
Matthew vs Paul 51–61 45.54%
Matthew vs Victor 50–53 48.54%
Matthew vs Heihachi 36–56 39.13%
Matthew vs Lee 33–58 36.26%
Matthew vs Xiaoyu 33–49 40.24%
Matthew vs Asuka 36–45 44.44%
Matthew vs Devil Jin 37–42 46.84%
Matthew vs Alisa 38–38 50.00%
Matthew vs Leo 29–43 40.28%
Matthew vs Nina 27–39 40.91%
Matthew vs Lidia 24–38 38.71%
Matthew vs Jack-8 27–32 45.76%
Matthew vs Raven 25–33 43.10%
Matthew vs Feng 30–27 52.63%
Matthew vs Clive 13–39 25.00%
Matthew vs Leroy 22–26 45.83%
Matthew vs Claudio 27–19 58.70%
Matthew vs Zafina 19–21 47.50%
Matthew vs Kuma 10–24 29.41%
Matthew vs Anna 9–22 29.03%
Matthew vs Shaheen 14–10 58.33%
Matthew vs Armor King 14–8 63.64%
Matthew vs Miary Zo 2–5 28.57%
Matthew vs Panda 1–4 20.00%
Matthew vs Fahkumram 4–0 100.00%

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.