Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Scarecrow:) vs Jin 83–80 50.92%
Scarecrow:) vs Kazuya 95–59 61.69%
Scarecrow:) vs King 82–57 58.99%
Scarecrow:) vs Dragunov 79–46 63.20%
Scarecrow:) vs Bryan 59–54 52.21%
Scarecrow:) vs Law 57–45 55.88%
Scarecrow:) vs Reina 52–38 57.78%
Scarecrow:) vs Hwoarang 48–37 56.47%
Scarecrow:) vs Devil Jin 44–31 58.67%
Scarecrow:) vs Asuka 42–32 56.76%
Scarecrow:) vs Lidia 33–33 50.00%
Scarecrow:) vs Jun 36–28 56.25%
Scarecrow:) vs Lili 18–39 31.58%
Scarecrow:) vs Victor 23–33 41.07%
Scarecrow:) vs Feng 24–30 44.44%
Scarecrow:) vs Lee 27–26 50.94%
Scarecrow:) vs Steve 27–22 55.10%
Scarecrow:) vs Azucena 27–22 55.10%
Scarecrow:) vs Raven 26–19 57.78%
Scarecrow:) vs Yoshimitsu 22–20 52.38%
Scarecrow:) vs Lars 22–20 52.38%
Scarecrow:) vs Paul 17–23 42.50%
Scarecrow:) vs Leo 24–14 63.16%
Scarecrow:) vs Xiaoyu 13–20 39.39%
Scarecrow:) vs Heihachi 14–19 42.42%
Scarecrow:) vs Zafina 13–16 44.83%
Scarecrow:) vs Leroy 13–15 46.43%
Scarecrow:) vs Nina 9–16 36.00%
Scarecrow:) vs Alisa 9–15 37.50%
Scarecrow:) vs Eddy 13–10 56.52%
Scarecrow:) vs Jack-8 7–6 53.85%
Scarecrow:) vs Claudio 3–10 23.08%
Scarecrow:) vs Kuma 3–2 60.00%
Scarecrow:) vs Anna 2–2 50.00%
Scarecrow:) vs Shaheen 3–0 100.00%
Scarecrow:) vs Clive 2–1 66.67%
Scarecrow:) vs Panda 0–2 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.