Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Paul Penix vs Kazuya 87–56 60.84%
Paul Penix vs Jin 60–44 57.69%
Paul Penix vs King 48–41 53.93%
Paul Penix vs Hwoarang 46–39 54.12%
Paul Penix vs Reina 37–43 46.25%
Paul Penix vs Bryan 43–29 59.72%
Paul Penix vs Law 41–25 62.12%
Paul Penix vs Dragunov 29–34 46.03%
Paul Penix vs Paul 44–16 73.33%
Paul Penix vs Jun 31–23 57.41%
Paul Penix vs Steve 27–25 51.92%
Paul Penix vs Lili 29–23 55.77%
Paul Penix vs Yoshimitsu 22–24 47.83%
Paul Penix vs Devil Jin 23–20 53.49%
Paul Penix vs Jack-8 22–19 53.66%
Paul Penix vs Asuka 20–21 48.78%
Paul Penix vs Xiaoyu 17–20 45.95%
Paul Penix vs Azucena 20–17 54.05%
Paul Penix vs Nina 18–15 54.55%
Paul Penix vs Eddy 17–16 51.52%
Paul Penix vs Feng 15–15 50.00%
Paul Penix vs Lars 13–14 48.15%
Paul Penix vs Lee 10–15 40.00%
Paul Penix vs Alisa 8–14 36.36%
Paul Penix vs Victor 14–8 63.64%
Paul Penix vs Claudio 12–7 63.16%
Paul Penix vs Lidia 8–9–1 47.06%
Paul Penix vs Leroy 8–8 50.00%
Paul Penix vs Leo 7–7 50.00%
Paul Penix vs Zafina 5–8 38.46%
Paul Penix vs Heihachi 6–7 46.15%
Paul Penix vs Raven 5–6 45.45%
Paul Penix vs Shaheen 7–2 77.78%
Paul Penix vs Kuma 3–2 60.00%
Paul Penix vs Clive 2–2 50.00%
Paul Penix vs Panda 2–1 66.67%
Paul Penix vs Armor King 1–2 33.33%
Paul Penix vs Fahkumram 2–0 100.00%

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.