Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MattMart vs Steve 72–74 49.32%
MattMart vs Jin 51–89 36.43%
MattMart vs Reina 68–66 50.75%
MattMart vs King 42–78 35.00%
MattMart vs Kazuya 44–71 38.26%
MattMart vs Armor King 24–79 23.30%
MattMart vs Jun 41–47 46.59%
MattMart vs Hwoarang 27–55 32.93%
MattMart vs Bryan 32–49 39.51%
MattMart vs Clive 28–49 36.36%
MattMart vs Dragunov 31–43 41.89%
MattMart vs Victor 24–50 32.43%
MattMart vs Law 19–54 26.03%
MattMart vs Lili 33–38 46.48%
MattMart vs Asuka 31–39 44.29%
MattMart vs Eddy 23–44 34.33%
MattMart vs Miary Zo 26–41 38.81%
MattMart vs Azucena 30–34 46.88%
MattMart vs Heihachi 23–39 37.10%
MattMart vs Lidia 17–42 28.81%
MattMart vs Fahkumram 20–36 35.71%
MattMart vs Feng 23–27 46.00%
MattMart vs Nina 18–32 36.00%
MattMart vs Lee 22–28 44.00%
MattMart vs Lars 15–34 30.61%
MattMart vs Devil Jin 21–17 55.26%
MattMart vs Alisa 20–18 52.63%
MattMart vs Raven 10–28 26.32%
MattMart vs Yoshimitsu 11–26 29.73%
MattMart vs Leroy 18–18 50.00%
MattMart vs Paul 14–20 41.18%
MattMart vs Xiaoyu 17–17 50.00%
MattMart vs Anna 9–22 29.03%
MattMart vs Leo 18–11 62.07%
MattMart vs Jack-8 7–11 38.89%
MattMart vs Claudio 8–7 53.33%
MattMart vs Zafina 4–9 30.77%
MattMart vs Kuma 1–11 8.33%
MattMart vs Panda 2–9 18.18%
MattMart vs Shaheen 1–4 20.00%

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.