Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Loser by nature

Ratings

Loser by nature vs Jin 95–138 40.77%
Loser by nature vs Kazuya 96–98 49.48%
Loser by nature vs Bryan 78–106 42.39%
Loser by nature vs Reina 75–82 47.77%
Loser by nature vs King 68–87 43.87%
Loser by nature vs Jun 77–70 52.38%
Loser by nature vs Hwoarang 70–75 48.28%
Loser by nature vs Law 76–64 54.29%
Loser by nature vs Steve 70–70 50.00%
Loser by nature vs Heihachi 59–62 48.76%
Loser by nature vs Yoshimitsu 53–64 45.30%
Loser by nature vs Dragunov 44–71 38.26%
Loser by nature vs Armor King 46–62 42.59%
Loser by nature vs Lili 51–52 49.51%
Loser by nature vs Clive 37–55 40.22%
Loser by nature vs Eddy 35–48 42.17%
Loser by nature vs Paul 36–41 46.75%
Loser by nature vs Miary Zo 36–35 50.70%
Loser by nature vs Victor 32–38 45.71%
Loser by nature vs Lidia 27–41 39.71%
Loser by nature vs Asuka 34–31 52.31%
Loser by nature vs Devil Jin 21–38 35.59%
Loser by nature vs Azucena 31–28 52.54%
Loser by nature vs Nina 23–32 41.82%
Loser by nature vs Lars 16–34 32.00%
Loser by nature vs Lee 28–22 56.00%
Loser by nature vs Feng 16–32 33.33%
Loser by nature vs Alisa 19–27 41.30%
Loser by nature vs Jack-8 22–22 50.00%
Loser by nature vs Xiaoyu 16–25 39.02%
Loser by nature vs Leo 17–23 42.50%
Loser by nature vs Anna 18–22 45.00%
Loser by nature vs Claudio 15–22 40.54%
Loser by nature vs Leroy 14–16 46.67%
Loser by nature vs Raven 13–17 43.33%
Loser by nature vs Zafina 16–11 59.26%
Loser by nature vs Fahkumram 6–20 23.08%
Loser by nature vs Shaheen 9–12 42.86%
Loser by nature vs Kuma 5–8 38.46%
Loser by nature vs Panda 4–3 57.14%

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.