Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Makahbre vs King 55–60 47.83%
Makahbre vs Bryan 67–39 63.21%
Makahbre vs Kazuya 62–41 60.19%
Makahbre vs Jin 57–42 57.58%
Makahbre vs Steve 65–28 69.89%
Makahbre vs Reina 57–36 61.29%
Makahbre vs Heihachi 44–30 59.46%
Makahbre vs Hwoarang 31–32 49.21%
Makahbre vs Lee 29–33 46.77%
Makahbre vs Dragunov 34–24 58.62%
Makahbre vs Law 36–16 69.23%
Makahbre vs Paul 29–22 56.86%
Makahbre vs Fahkumram 28–21 57.14%
Makahbre vs Clive 25–23 52.08%
Makahbre vs Nina 22–22 50.00%
Makahbre vs Azucena 18–25 41.86%
Makahbre vs Lidia 20–22 47.62%
Makahbre vs Asuka 21–20 51.22%
Makahbre vs Lili 20–21 48.78%
Makahbre vs Yoshimitsu 18–21 46.15%
Makahbre vs Lars 18–19 48.65%
Makahbre vs Armor King 17–19 47.22%
Makahbre vs Xiaoyu 22–13 62.86%
Makahbre vs Feng 20–15 57.14%
Makahbre vs Victor 17–14 54.84%
Makahbre vs Leroy 14–15 48.28%
Makahbre vs Eddy 17–12 58.62%
Makahbre vs Devil Jin 10–18 35.71%
Makahbre vs Jun 14–13 51.85%
Makahbre vs Leo 11–15 42.31%
Makahbre vs Raven 16–10 61.54%
Makahbre vs Claudio 13–11 54.17%
Makahbre vs Alisa 13–10 56.52%
Makahbre vs Anna 8–14 36.36%
Makahbre vs Jack-8 11–9 55.00%
Makahbre vs Kuma 17–3 85.00%
Makahbre vs Shaheen 5–12 29.41%
Makahbre vs Miary Zo 4–5 44.44%
Makahbre vs Zafina 3–5 37.50%
Makahbre vs Panda 3–3 50.00%

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.