Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
[전철협] 곰돌이우카

Ratings

[전철협] 곰돌이우카 vs Kazuya 559–412 57.57%
[전철협] 곰돌이우카 vs Bryan 516–426 54.78%
[전철협] 곰돌이우카 vs Hwoarang 436–447 49.38%
[전철협] 곰돌이우카 vs King 413–454 47.64%
[전철협] 곰돌이우카 vs Paul 416–392 51.49%
[전철협] 곰돌이우카 vs Dragunov 375–412 47.65%
[전철협] 곰돌이우카 vs Jin 416–342–1 54.88%
[전철협] 곰돌이우카 vs Reina 354–385 47.90%
[전철협] 곰돌이우카 vs Steve 319–308 50.88%
[전철협] 곰돌이우카 vs Asuka 257–337 43.27%
[전철협] 곰돌이우카 vs Heihachi 218–311 41.21%
[전철협] 곰돌이우카 vs Jack-8 219–281 43.80%
[전철협] 곰돌이우카 vs Yoshimitsu 230–252 47.72%
[전철협] 곰돌이우카 vs Jun 202–262 43.53%
[전철협] 곰돌이우카 vs Lars 209–246 45.93%
[전철협] 곰돌이우카 vs Devil Jin 255–196–1 56.54%
[전철협] 곰돌이우카 vs Feng 165–285 36.67%
[전철협] 곰돌이우카 vs Law 181–265 40.58%
[전철협] 곰돌이우카 vs Lili 217–226 48.98%
[전철협] 곰돌이우카 vs Lidia 194–228 45.97%
[전철협] 곰돌이우카 vs Victor 190–228 45.45%
[전철협] 곰돌이우카 vs Nina 169–199–1 45.92%
[전철협] 곰돌이우카 vs Claudio 164–200 45.05%
[전철협] 곰돌이우카 vs Azucena 187–170 52.38%
[전철협] 곰돌이우카 vs Leroy 186–159 53.91%
[전철협] 곰돌이우카 vs Lee 180–150 54.55%
[전철협] 곰돌이우카 vs Xiaoyu 156–162 49.06%
[전철협] 곰돌이우카 vs Alisa 125–186 40.19%
[전철협] 곰돌이우카 vs Eddy 148–140 51.39%
[전철협] 곰돌이우카 vs Leo 122–155 44.04%
[전철협] 곰돌이우카 vs Shaheen 128–137 48.30%
[전철협] 곰돌이우카 vs Clive 119–143 45.42%
[전철협] 곰돌이우카 vs Fahkumram 102–158 39.23%
[전철협] 곰돌이우카 vs Raven 127–127 50.00%
[전철협] 곰돌이우카 vs Armor King 111–143 43.70%
[전철협] 곰돌이우카 vs Zafina 100–105 48.78%
[전철협] 곰돌이우카 vs Anna 88–117 42.93%
[전철협] 곰돌이우카 vs Miary Zo 89–86 50.86%
[전철협] 곰돌이우카 vs Kuma 63–92 40.65%
[전철협] 곰돌이우카 vs Panda 53–52 50.48%

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.