Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Porshile vs Kazuya 78–76 50.65%
Porshile vs Bryan 68–82 45.33%
Porshile vs Steve 54–59 47.79%
Porshile vs Dragunov 66–47 58.41%
Porshile vs Hwoarang 43–66 39.45%
Porshile vs King 48–58 45.28%
Porshile vs Reina 50–53 48.54%
Porshile vs Paul 59–43 57.84%
Porshile vs Jin 51–33 60.71%
Porshile vs Lili 42–40 51.22%
Porshile vs Asuka 37–34 52.11%
Porshile vs Law 36–32 52.94%
Porshile vs Azucena 29–38 43.28%
Porshile vs Lee 27–32 45.76%
Porshile vs Heihachi 24–35 40.68%
Porshile vs Jun 31–25 55.36%
Porshile vs Armor King 23–33 41.07%
Porshile vs Victor 24–31 43.64%
Porshile vs Lars 27–27 50.00%
Porshile vs Clive 23–31 42.59%
Porshile vs Yoshimitsu 21–32 39.62%
Porshile vs Claudio 24–28 46.15%
Porshile vs Devil Jin 24–27 47.06%
Porshile vs Feng 22–29 43.14%
Porshile vs Alisa 23–24 48.94%
Porshile vs Leroy 21–23 47.73%
Porshile vs Miary Zo 20–21 48.78%
Porshile vs Leo 15–22 40.54%
Porshile vs Xiaoyu 16–16 50.00%
Porshile vs Eddy 11–21 34.38%
Porshile vs Nina 13–17 43.33%
Porshile vs Lidia 12–18 40.00%
Porshile vs Jack-8 7–22 24.14%
Porshile vs Kuma 14–14 50.00%
Porshile vs Shaheen 10–13 43.48%
Porshile vs Zafina 11–12 47.83%
Porshile vs Raven 8–13 38.10%
Porshile vs Anna 9–7 56.25%
Porshile vs Fahkumram 6–7 46.15%
Porshile vs Panda 5–4 55.56%

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.