Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Praporiano vs Kazuya 123–127 49.20%
Praporiano vs Jin 76–100 43.18%
Praporiano vs Hwoarang 60–81 42.55%
Praporiano vs Reina 68–70 49.28%
Praporiano vs Bryan 58–79 42.34%
Praporiano vs King 69–66 51.11%
Praporiano vs Yoshimitsu 47–48 49.47%
Praporiano vs Law 52–41 55.91%
Praporiano vs Steve 47–39 54.65%
Praporiano vs Devil Jin 41–41 50.00%
Praporiano vs Paul 39–42 48.15%
Praporiano vs Lili 30–48 38.46%
Praporiano vs Asuka 37–34 52.11%
Praporiano vs Dragunov 28–41 40.58%
Praporiano vs Nina 31–34 47.69%
Praporiano vs Azucena 31–30 50.82%
Praporiano vs Alisa 32–27 54.24%
Praporiano vs Victor 30–28 51.72%
Praporiano vs Jun 29–27 51.79%
Praporiano vs Lee 24–28 46.15%
Praporiano vs Feng 21–27 43.75%
Praporiano vs Lars 22–23 48.89%
Praporiano vs Eddy 22–22 50.00%
Praporiano vs Xiaoyu 17–21 44.74%
Praporiano vs Leo 14–24 36.84%
Praporiano vs Lidia 20–15 57.14%
Praporiano vs Claudio 11–15 42.31%
Praporiano vs Heihachi 4–22 15.38%
Praporiano vs Leroy 10–15 40.00%
Praporiano vs Raven 9–15 37.50%
Praporiano vs Jack-8 10–11 47.62%
Praporiano vs Kuma 7–6 53.85%
Praporiano vs Shaheen 4–8 33.33%
Praporiano vs Zafina 5–4 55.56%
Praporiano vs Anna 2–6 25.00%
Praporiano vs Clive 5–2 71.43%
Praporiano vs Panda 3–3 50.00%
Praporiano vs Fahkumram 0–1 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.