Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

accaubi vs Hwoarang 220–210–1 51.16%
accaubi vs Kazuya 211–217 49.30%
accaubi vs Dragunov 199–222 47.27%
accaubi vs Paul 197–197 50.00%
accaubi vs Reina 177–211 45.62%
accaubi vs Bryan 145–236 38.06%
accaubi vs King 183–192 48.80%
accaubi vs Jin 182–170 51.70%
accaubi vs Lili 168–141 54.37%
accaubi vs Law 138–125 52.47%
accaubi vs Asuka 148–113 56.70%
accaubi vs Jun 118–120 49.58%
accaubi vs Steve 105–129 44.87%
accaubi vs Victor 91–134 40.44%
accaubi vs Feng 71–131 35.15%
accaubi vs Yoshimitsu 88–113 43.78%
accaubi vs Heihachi 72–125 36.55%
accaubi vs Devil Jin 94–88 51.65%
accaubi vs Nina 90–81 52.63%
accaubi vs Alisa 70–94 42.68%
accaubi vs Lee 67–97 40.85%
accaubi vs Lidia 64–89 41.83%
accaubi vs Lars 57–91 38.51%
accaubi vs Xiaoyu 64–83 43.54%
accaubi vs Azucena 65–79 45.14%
accaubi vs Leroy 56–87 39.16%
accaubi vs Eddy 53–83 38.97%
accaubi vs Claudio 48–83 36.64%
accaubi vs Leo 55–63 46.61%
accaubi vs Armor King 37–80 31.62%
accaubi vs Jack-8 36–58 38.30%
accaubi vs Raven 33–54 37.93%
accaubi vs Shaheen 43–42 50.59%
accaubi vs Clive 17–45 27.42%
accaubi vs Kuma 26–35 42.62%
accaubi vs Zafina 21–36 36.84%
accaubi vs Miary Zo 23–31 42.59%
accaubi vs Fahkumram 22–21 51.16%
accaubi vs Panda 12–20 37.50%
accaubi vs Anna 10–7 58.82%

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.