Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Manggeek vs Heihachi 106–34 75.71%
Manggeek vs Kazuya 81–49 62.31%
Manggeek vs Bryan 99–25 79.84%
Manggeek vs King 68–54 55.74%
Manggeek vs Jin 65–44 59.63%
Manggeek vs Dragunov 73–35 67.59%
Manggeek vs Hwoarang 54–44 55.10%
Manggeek vs Lars 52–37 58.43%
Manggeek vs Jun 48–26 64.86%
Manggeek vs Lee 40–32 55.56%
Manggeek vs Law 38–33 53.52%
Manggeek vs Devil Jin 36–32 52.94%
Manggeek vs Yoshimitsu 38–28 57.58%
Manggeek vs Claudio 38–27 58.46%
Manggeek vs Paul 47–16 74.60%
Manggeek vs Steve 34–25 57.63%
Manggeek vs Lili 37–22 62.71%
Manggeek vs Leo 39–20 66.10%
Manggeek vs Shaheen 36–20 64.29%
Manggeek vs Reina 32–19 62.75%
Manggeek vs Feng 31–15 67.39%
Manggeek vs Armor King 26–20 56.52%
Manggeek vs Nina 25–19 56.82%
Manggeek vs Asuka 33–10 76.74%
Manggeek vs Clive 20–21 48.78%
Manggeek vs Alisa 28–12 70.00%
Manggeek vs Xiaoyu 23–15 60.53%
Manggeek vs Victor 26–12 68.42%
Manggeek vs Lidia 15–22 40.54%
Manggeek vs Eddy 30–6 83.33%
Manggeek vs Anna 23–11 67.65%
Manggeek vs Jack-8 24–5 82.76%
Manggeek vs Zafina 25–4 86.21%
Manggeek vs Fahkumram 14–15 48.28%
Manggeek vs Leroy 16–11 59.26%
Manggeek vs Miary Zo 13–11 54.17%
Manggeek vs Azucena 15–6 71.43%
Manggeek vs Kuma 14–6 70.00%
Manggeek vs Raven 4–11 26.67%
Manggeek vs Panda 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.