Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Honcho vs Jin 634–424 59.92%
Honcho vs King 515–391 56.84%
Honcho vs Steve 438–440 49.89%
Honcho vs Hwoarang 382–387 49.67%
Honcho vs Bryan 382–331 53.58%
Honcho vs Law 368–324 53.18%
Honcho vs Kazuya 386–303 56.02%
Honcho vs Reina 385–263 59.41%
Honcho vs Lili 320–294 52.12%
Honcho vs Paul 281–299 48.45%
Honcho vs Lars 279–293 48.78%
Honcho vs Dragunov 256–307 45.47%
Honcho vs Yoshimitsu 319–225 58.64%
Honcho vs Leroy 260–238 52.21%
Honcho vs Xiaoyu 248–244 50.41%
Honcho vs Lee 229–254 47.41%
Honcho vs Victor 268–178 60.09%
Honcho vs Heihachi 214–232 47.98%
Honcho vs Feng 215–229–1 48.42%
Honcho vs Devil Jin 236–200 54.13%
Honcho vs Leo 229–207 52.52%
Honcho vs Asuka 212–217–1 49.42%
Honcho vs Azucena 220–192 53.40%
Honcho vs Eddy 242–164 59.61%
Honcho vs Jun 211–191 52.49%
Honcho vs Nina 221–179 55.25%
Honcho vs Zafina 162–186 46.55%
Honcho vs Jack-8 157–189 45.38%
Honcho vs Raven 174–161 51.94%
Honcho vs Alisa 153–159 49.04%
Honcho vs Lidia 132–170 43.71%
Honcho vs Clive 128–112 53.33%
Honcho vs Claudio 116–123 48.54%
Honcho vs Kuma 139–95 59.40%
Honcho vs Armor King 74–88 45.68%
Honcho vs Shaheen 78–83 48.45%
Honcho vs Anna 55–79 41.04%
Honcho vs Panda 61–50 54.95%
Honcho vs Fahkumram 41–66 38.32%
Honcho vs Miary Zo 9–11 45.00%

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.