Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
괜찮아딩딩딩딩딩딩딩딩딩딩

Ratings

Name history

괜찮아딩딩딩딩딩딩딩딩딩딩
아파트아파트아파트아파트아파트
iphone 16
야레야레 못말리는 아가씨
여름싫어
그럼제가선배맘에탕탕후루후루
그럼제가선배맘에탕탕후루탕탕후
등짝의상처는검사의수치다
ne pas penser
테켄리빙레전드손준영
i11nnatic
cccc
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Dragunov 77–39 66.38%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Kazuya 75–33 69.44%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Jin 64–24 72.73%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Hwoarang 57–25 69.51%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Bryan 61–18 77.22%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Paul 57–19 75.00%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs King 55–20 73.33%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Reina 48–27 64.00%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Steve 52–20 72.22%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Lili 53–18 74.65%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Victor 47–23 67.14%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Devil Jin 44–16 73.33%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Nina 48–9 84.21%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Azucena 40–15 72.73%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Asuka 40–14 74.07%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Law 35–16 68.63%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Lars 38–12 76.00%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Feng 33–15 68.75%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Claudio 31–14 68.89%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Xiaoyu 24–16 60.00%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Lee 29–11 72.50%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Jun 35–5 87.50%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Leroy 22–17 56.41%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Yoshimitsu 31–7 81.58%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Jack-8 30–8 78.95%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Zafina 28–8 77.78%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Raven 31–5 86.11%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Leo 23–9 71.88%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Alisa 27–5 84.38%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Kuma 22–6 78.57%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Eddy 14–14 50.00%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Shaheen 19–7 73.08%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Clive 7–6 53.85%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Lidia 7–5 58.33%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Heihachi 7–5 58.33%
괜찮아딩딩딩딩딩딩딩딩딩딩 vs Panda 7–3 70.00%

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.