Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
[노인정] 스탈리

Ratings

[노인정] 스탈리 vs Jin 39–6 86.67%
[노인정] 스탈리 vs Bryan 31–14 68.89%
[노인정] 스탈리 vs Clive 39–6 86.67%
[노인정] 스탈리 vs Kazuya 39–4 90.70%
[노인정] 스탈리 vs Reina 39–4 90.70%
[노인정] 스탈리 vs Hwoarang 38–2 95.00%
[노인정] 스탈리 vs Miary Zo 27–12 69.23%
[노인정] 스탈리 vs Lili 36–2 94.74%
[노인정] 스탈리 vs Paul 36–1 97.30%
[노인정] 스탈리 vs Armor King 25–12 67.57%
[노인정] 스탈리 vs King 28–3 90.32%
[노인정] 스탈리 vs Devil Jin 24–7 77.42%
[노인정] 스탈리 vs Dragunov 28–3 90.32%
[노인정] 스탈리 vs Heihachi 27–2 93.10%
[노인정] 스탈리 vs Fahkumram 19–10 65.52%
[노인정] 스탈리 vs Steve 26–0 100.00%
[노인정] 스탈리 vs Jack-8 22–4 84.62%
[노인정] 스탈리 vs Asuka 20–5 80.00%
[노인정] 스탈리 vs Claudio 23–2 92.00%
[노인정] 스탈리 vs Yoshimitsu 23–1 95.83%
[노인정] 스탈리 vs Law 18–4 81.82%
[노인정] 스탈리 vs Eddy 20–2 90.91%
[노인정] 스탈리 vs Anna 16–3 84.21%
[노인정] 스탈리 vs Azucena 16–2 88.89%
[노인정] 스탈리 vs Lars 13–3 81.25%
[노인정] 스탈리 vs Victor 15–1 93.75%
[노인정] 스탈리 vs Xiaoyu 13–2 86.67%
[노인정] 스탈리 vs Alisa 12–3 80.00%
[노인정] 스탈리 vs Lidia 13–2 86.67%
[노인정] 스탈리 vs Kuma 9–5 64.29%
[노인정] 스탈리 vs Leroy 11–3 78.57%
[노인정] 스탈리 vs Feng 10–2 83.33%
[노인정] 스탈리 vs Leo 12–0 100.00%
[노인정] 스탈리 vs Zafina 7–4 63.64%
[노인정] 스탈리 vs Shaheen 9–0 100.00%
[노인정] 스탈리 vs Nina 6–3 66.67%
[노인정] 스탈리 vs Lee 9–0 100.00%
[노인정] 스탈리 vs Jun 9–0 100.00%
[노인정] 스탈리 vs Panda 8–0 100.00%
[노인정] 스탈리 vs Raven 3–0 100.00%

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.