Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Big Nostril vs Reina 73–73 50.00%
Big Nostril vs Jin 58–58 50.00%
Big Nostril vs Bryan 52–64 44.83%
Big Nostril vs Kazuya 50–61 45.05%
Big Nostril vs King 60–47 56.07%
Big Nostril vs Hwoarang 37–46 44.58%
Big Nostril vs Lili 29–44 39.73%
Big Nostril vs Heihachi 44–25 63.77%
Big Nostril vs Steve 30–38 44.12%
Big Nostril vs Dragunov 41–24 63.08%
Big Nostril vs Paul 29–35 45.31%
Big Nostril vs Asuka 35–23 60.34%
Big Nostril vs Lee 24–29 45.28%
Big Nostril vs Law 23–28 45.10%
Big Nostril vs Azucena 22–28 44.00%
Big Nostril vs Lars 22–26 45.83%
Big Nostril vs Yoshimitsu 23–24 48.94%
Big Nostril vs Jun 24–23 51.06%
Big Nostril vs Victor 19–28 40.43%
Big Nostril vs Devil Jin 29–17 63.04%
Big Nostril vs Nina 17–24 41.46%
Big Nostril vs Clive 18–18 50.00%
Big Nostril vs Leo 18–14 56.25%
Big Nostril vs Feng 11–20 35.48%
Big Nostril vs Leroy 14–15 48.28%
Big Nostril vs Xiaoyu 8–17 32.00%
Big Nostril vs Jack-8 10–15 40.00%
Big Nostril vs Claudio 12–13 48.00%
Big Nostril vs Eddy 10–15 40.00%
Big Nostril vs Alisa 7–16 30.43%
Big Nostril vs Lidia 11–9 55.00%
Big Nostril vs Raven 9–9 50.00%
Big Nostril vs Zafina 10–5 66.67%
Big Nostril vs Shaheen 7–5 58.33%
Big Nostril vs Kuma 5–7 41.67%
Big Nostril vs Anna 2–3 40.00%
Big Nostril 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.