Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MattxHues vs King 59–81 42.14%
MattxHues vs Jin 67–72 48.20%
MattxHues vs Kazuya 59–62 48.76%
MattxHues vs Clive 54–65 45.38%
MattxHues vs Fahkumram 53–65 44.92%
MattxHues vs Reina 52–46 53.06%
MattxHues vs Bryan 45–52 46.39%
MattxHues vs Steve 38–47 44.71%
MattxHues vs Hwoarang 39–39 50.00%
MattxHues vs Lars 41–36 53.25%
MattxHues vs Dragunov 34–39 46.58%
MattxHues vs Asuka 38–33 53.52%
MattxHues vs Law 44–25 63.77%
MattxHues vs Lili 30–39 43.48%
MattxHues vs Eddy 29–38 43.28%
MattxHues vs Victor 30–35 46.15%
MattxHues vs Yoshimitsu 26–36 41.94%
MattxHues vs Xiaoyu 36–24 60.00%
MattxHues vs Jun 33–26 55.93%
MattxHues vs Heihachi 28–26 51.85%
MattxHues vs Paul 23–27 46.00%
MattxHues vs Azucena 22–27 44.90%
MattxHues vs Devil Jin 15–27 35.71%
MattxHues vs Leo 15–24 38.46%
MattxHues vs Feng 19–18 51.35%
MattxHues vs Lee 16–20 44.44%
MattxHues vs Anna 15–20 42.86%
MattxHues vs Jack-8 16–18 47.06%
MattxHues vs Raven 12–19 38.71%
MattxHues vs Nina 17–12 58.62%
MattxHues vs Lidia 15–13 53.57%
MattxHues vs Claudio 8–17 32.00%
MattxHues vs Alisa 7–11 38.89%
MattxHues vs Zafina 3–12 20.00%
MattxHues vs Shaheen 6–4 60.00%
MattxHues vs Kuma 2–8 20.00%
MattxHues vs Leroy 8–1 88.89%
MattxHues vs Panda 0–3 0.00%
MattxHues vs Armor King 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.