Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MatisBolly vs Kazuya 72–61 54.14%
MatisBolly vs Jin 52–78 40.00%
MatisBolly vs Reina 61–51 54.46%
MatisBolly vs Bryan 39–57 40.62%
MatisBolly vs Dragunov 49–42 53.85%
MatisBolly vs Steve 34–40 45.95%
MatisBolly vs King 40–33 54.79%
MatisBolly vs Hwoarang 38–35 52.05%
MatisBolly vs Law 27–37 42.19%
MatisBolly vs Azucena 34–29 53.97%
MatisBolly vs Paul 23–39 37.10%
MatisBolly vs Jun 28–34 45.16%
MatisBolly vs Yoshimitsu 23–34 40.35%
MatisBolly vs Lili 21–36 36.84%
MatisBolly vs Lee 12–26 31.58%
MatisBolly vs Feng 12–25 32.43%
MatisBolly vs Asuka 18–17 51.43%
MatisBolly vs Devil Jin 14–21 40.00%
MatisBolly vs Eddy 18–17 51.43%
MatisBolly vs Nina 10–21 32.26%
MatisBolly vs Claudio 7–21 25.00%
MatisBolly vs Leroy 11–16 40.74%
MatisBolly vs Victor 15–12 55.56%
MatisBolly vs Jack-8 13–13 50.00%
MatisBolly vs Xiaoyu 12–13 48.00%
MatisBolly vs Lars 6–18 25.00%
MatisBolly vs Lidia 8–15 34.78%
MatisBolly vs Alisa 9–13 40.91%
MatisBolly vs Leo 12–8 60.00%
MatisBolly vs Raven 4–14 22.22%
MatisBolly vs Shaheen 7–8 46.67%
MatisBolly vs Zafina 5–10 33.33%
MatisBolly vs Kuma 5–9 35.71%
MatisBolly vs Heihachi 2–8 20.00%
MatisBolly vs Armor King 5–3 62.50%
MatisBolly vs Fahkumram 5–0 100.00%
MatisBolly vs Clive 2–1 66.67%
MatisBolly vs Panda 0–1 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.