Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

refill vs Kazuya 314–363 46.38%
refill vs Bryan 303–340–1 47.12%
refill vs Dragunov 275–326 45.76%
refill vs Paul 241–293 45.13%
refill vs Jin 249–280 47.07%
refill vs Reina 243–280 46.46%
refill vs Hwoarang 231–262 46.86%
refill vs King 224–258 46.47%
refill vs Asuka 232–242 48.95%
refill vs Lili 202–264 43.35%
refill vs Law 181–237 43.30%
refill vs Steve 199–217 47.84%
refill vs Feng 184–178 50.83%
refill vs Heihachi 147–200 42.36%
refill vs Lars 161–175 47.92%
refill vs Victor 139–195–1 41.62%
refill vs Jun 165–163 50.30%
refill vs Clive 128–198 39.26%
refill vs Yoshimitsu 149–172 46.42%
refill vs Azucena 129–184 41.21%
refill vs Devil Jin 130–166 43.92%
refill vs Lee 126–152 45.32%
refill vs Jack-8 126–151 45.49%
refill vs Armor King 118–153 43.54%
refill vs Alisa 127–131 49.22%
refill vs Nina 141–114 55.29%
refill vs Claudio 115–138 45.45%
refill vs Leroy 121–129 48.40%
refill vs Xiaoyu 124–114–1 52.10%
refill vs Leo 113–117 49.13%
refill vs Lidia 100–119 45.66%
refill vs Raven 85–119 41.67%
refill vs Eddy 86–104 45.26%
refill vs Zafina 102–77 56.98%
refill vs Anna 87–78 52.73%
refill vs Fahkumram 60–94 38.96%
refill vs Kuma 66–86 43.42%
refill vs Shaheen 48–69 41.03%
refill vs Miary Zo 30–62 32.61%
refill vs Panda 40–46 46.51%

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.