Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MLGD0lan vs Jin 80–94 45.98%
MLGD0lan vs Kazuya 75–79 48.70%
MLGD0lan vs Reina 81–69 54.00%
MLGD0lan vs King 56–72 43.75%
MLGD0lan vs Bryan 52–61 46.02%
MLGD0lan vs Dragunov 46–57 44.66%
MLGD0lan vs Hwoarang 43–59 42.16%
MLGD0lan vs Steve 48–54 47.06%
MLGD0lan vs Law 50–50 50.00%
MLGD0lan vs Clive 48–49 49.48%
MLGD0lan vs Jun 46–50 47.92%
MLGD0lan vs Heihachi 46–47 49.46%
MLGD0lan vs Lili 40–33 54.79%
MLGD0lan vs Asuka 41–28 59.42%
MLGD0lan vs Lee 29–33 46.77%
MLGD0lan vs Nina 31–24 56.36%
MLGD0lan vs Armor King 24–31 43.64%
MLGD0lan vs Paul 21–30 41.18%
MLGD0lan vs Yoshimitsu 20–28 41.67%
MLGD0lan vs Azucena 26–22 54.17%
MLGD0lan vs Xiaoyu 27–18–1 60.00%
MLGD0lan vs Jack-8 14–28 33.33%
MLGD0lan vs Alisa 21–21 50.00%
MLGD0lan vs Eddy 22–20 52.38%
MLGD0lan vs Lidia 19–20 48.72%
MLGD0lan vs Victor 17–21 44.74%
MLGD0lan vs Miary Zo 13–22 37.14%
MLGD0lan vs Anna 14–18 43.75%
MLGD0lan vs Feng 13–18 41.94%
MLGD0lan vs Fahkumram 15–16 48.39%
MLGD0lan vs Devil Jin 11–16 40.74%
MLGD0lan vs Lars 13–14 48.15%
MLGD0lan vs Leo 10–14 41.67%
MLGD0lan vs Raven 10–11 47.62%
MLGD0lan vs Leroy 6–13 31.58%
MLGD0lan vs Kuma 10–8 55.56%
MLGD0lan vs Claudio 9–7 56.25%
MLGD0lan vs Shaheen 4–3 57.14%
MLGD0lan vs Zafina 4–1 80.00%
MLGD0lan vs Panda 1–2 33.33%

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.