Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Sagerafei vs Kazuya 43–32 57.33%
Sagerafei vs King 34–32 51.52%
Sagerafei vs Steve 31–18 63.27%
Sagerafei vs Paul 27–18 60.00%
Sagerafei vs Lili 25–17 59.52%
Sagerafei vs Reina 29–13 69.05%
Sagerafei vs Dragunov 20–15 57.14%
Sagerafei vs Hwoarang 18–16 52.94%
Sagerafei vs Jin 11–21 34.38%
Sagerafei vs Jun 11–18 37.93%
Sagerafei vs Bryan 10–17 37.04%
Sagerafei vs Asuka 10–17 37.04%
Sagerafei vs Lidia 11–15 42.31%
Sagerafei vs Victor 9–13 40.91%
Sagerafei vs Claudio 10–10 50.00%
Sagerafei vs Law 8–11 42.11%
Sagerafei vs Feng 4–15 21.05%
Sagerafei vs Anna 8–10 44.44%
Sagerafei vs Fahkumram 6–12 33.33%
Sagerafei vs Xiaoyu 8–8 50.00%
Sagerafei vs Leroy 8–8 50.00%
Sagerafei vs Lee 8–7 53.33%
Sagerafei vs Clive 8–7 53.33%
Sagerafei vs Lars 5–9 35.71%
Sagerafei vs Alisa 7–7 50.00%
Sagerafei vs Shaheen 5–9 35.71%
Sagerafei vs Azucena 8–6 57.14%
Sagerafei vs Eddy 3–11 21.43%
Sagerafei vs Zafina 5–8 38.46%
Sagerafei vs Miary Zo 4–8 33.33%
Sagerafei vs Nina 7–3 70.00%
Sagerafei vs Heihachi 6–4 60.00%
Sagerafei vs Kuma 6–3 66.67%
Sagerafei vs Devil Jin 4–4 50.00%
Sagerafei vs Leo 3–5 37.50%
Sagerafei vs Jack-8 5–2 71.43%
Sagerafei vs Yoshimitsu 3–3 50.00%
Sagerafei vs Armor King 5–1 83.33%
Sagerafei vs Panda 0–2 0.00%
Sagerafei vs Raven 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.