Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mint Blur vs King 46–29 61.33%
Mint Blur vs Bryan 46–29 61.33%
Mint Blur vs Steve 44–26 62.86%
Mint Blur vs Lili 50–18 73.53%
Mint Blur vs Heihachi 38–27 58.46%
Mint Blur vs Jin 38–26 59.38%
Mint Blur vs Asuka 37–27 57.81%
Mint Blur vs Lee 37–27 57.81%
Mint Blur vs Reina 39–25 60.94%
Mint Blur vs Devil Jin 33–28 54.10%
Mint Blur vs Kazuya 36–24 60.00%
Mint Blur vs Dragunov 39–21 65.00%
Mint Blur vs Hwoarang 24–35 40.68%
Mint Blur vs Lars 26–30 46.43%
Mint Blur vs Azucena 27–28 49.09%
Mint Blur vs Yoshimitsu 33–18 64.71%
Mint Blur vs Leo 27–22 55.10%
Mint Blur vs Feng 27–20 57.45%
Mint Blur vs Law 26–18 59.09%
Mint Blur vs Lidia 22–22 50.00%
Mint Blur vs Victor 26–15 63.41%
Mint Blur vs Jack-8 24–16 60.00%
Mint Blur vs Paul 20–18 52.63%
Mint Blur vs Xiaoyu 23–15 60.53%
Mint Blur vs Nina 16–18 47.06%
Mint Blur vs Shaheen 20–12 62.50%
Mint Blur vs Zafina 20–11 64.52%
Mint Blur vs Clive 11–18 37.93%
Mint Blur vs Eddy 16–12 57.14%
Mint Blur vs Raven 8–19 29.63%
Mint Blur vs Leroy 21–5 80.77%
Mint Blur vs Alisa 10–14 41.67%
Mint Blur vs Jun 15–9 62.50%
Mint Blur vs Claudio 12–9 57.14%
Mint Blur vs Kuma 11–9 55.00%
Mint Blur vs Panda 2–3 40.00%
Mint Blur vs Miary Zo 4–1 80.00%
Mint Blur vs Anna 2–2 50.00%
Mint Blur vs Armor King 1–0 100.00%

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.