Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MacNBees vs Steve 61–62 49.59%
MacNBees vs King 58–61 48.74%
MacNBees vs Jin 66–49 57.39%
MacNBees vs Bryan 55–54 50.46%
MacNBees vs Law 41–61 40.20%
MacNBees vs Reina 47–45 51.09%
MacNBees vs Kazuya 45–45 50.00%
MacNBees vs Hwoarang 45–38 54.22%
MacNBees vs Yoshimitsu 30–37 44.78%
MacNBees vs Dragunov 35–31 53.03%
MacNBees vs Lili 28–37 43.08%
MacNBees vs Paul 27–36 42.86%
MacNBees vs Heihachi 32–27 54.24%
MacNBees vs Clive 30–29 50.85%
MacNBees vs Asuka 23–34 40.35%
MacNBees vs Eddy 24–33 42.11%
MacNBees vs Lee 23–28 45.10%
MacNBees vs Xiaoyu 32–18 64.00%
MacNBees vs Nina 23–27 46.00%
MacNBees vs Jun 25–23 52.08%
MacNBees vs Azucena 26–22 54.17%
MacNBees vs Lidia 18–24 42.86%
MacNBees vs Lars 16–25 39.02%
MacNBees vs Leo 20–19 51.28%
MacNBees vs Feng 12–26 31.58%
MacNBees vs Armor King 11–25 30.56%
MacNBees vs Miary Zo 17–19 47.22%
MacNBees vs Victor 14–17 45.16%
MacNBees vs Anna 15–15 50.00%
MacNBees vs Jack-8 11–18 37.93%
MacNBees vs Alisa 9–20 31.03%
MacNBees vs Fahkumram 10–19 34.48%
MacNBees vs Claudio 16–12 57.14%
MacNBees vs Kuma 11–15 42.31%
MacNBees vs Shaheen 10–13 43.48%
MacNBees vs Zafina 7–12 36.84%
MacNBees vs Devil Jin 13–5 72.22%
MacNBees vs Leroy 9–6 60.00%
MacNBees vs Raven 5–10 33.33%
MacNBees vs Panda 4–4 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.