Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

warning vs Kazuya 542–211 71.98%
warning vs Dragunov 515–227 69.41%
warning vs Steve 458–228–1 66.76%
warning vs Bryan 429–179 70.56%
warning vs Jin 469–122 79.36%
warning vs Nina 456–132 77.55%
warning vs Lee 417–159–1 72.40%
warning vs Yoshimitsu 355–191 65.02%
warning vs Lili 362–158 69.62%
warning vs Hwoarang 376–120–1 75.81%
warning vs Paul 300–180 62.50%
warning vs Lars 327–140 70.02%
warning vs King 365–97 79.00%
warning vs Xiaoyu 310–117 72.60%
warning vs Azucena 225–163 57.99%
warning vs Law 279–94 74.80%
warning vs Reina 249–119 67.66%
warning vs Asuka 246–118 67.58%
warning vs Alisa 250–96 72.25%
warning vs Feng 215–128 62.68%
warning vs Jun 233–95 71.04%
warning vs Jack-8 207–98 67.87%
warning vs Leo 196–91–1 68.29%
warning vs Claudio 169–113 59.93%
warning vs Devil Jin 188–89 67.87%
warning vs Raven 185–83 69.03%
warning vs Victor 171–87 66.28%
warning vs Eddy 173–83 67.58%
warning vs Shaheen 164–81 66.94%
warning vs Zafina 176–69 71.84%
warning vs Anna 134–77 63.51%
warning vs Lidia 132–68 66.00%
warning vs Leroy 125–62 66.84%
warning vs Kuma 107–67 61.49%
warning vs Fahkumram 92–72 56.10%
warning vs Heihachi 99–41 70.71%
warning vs Clive 65–36 64.36%
warning vs Panda 32–14 69.57%
warning vs Armor King 6–3 66.67%

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.