Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smasha vs King 515–541 48.77%
Smasha vs Kazuya 444–386 53.49%
Smasha vs Bryan 412–391 51.31%
Smasha vs Jin 387–410 48.56%
Smasha vs Law 358–416 46.25%
Smasha vs Hwoarang 405–331 55.03%
Smasha vs Steve 367–356 50.76%
Smasha vs Reina 353–309 53.32%
Smasha vs Heihachi 275–355 43.65%
Smasha vs Paul 249–327 43.23%
Smasha vs Lili 270–306 46.88%
Smasha vs Yoshimitsu 250–308 44.80%
Smasha vs Dragunov 281–254 52.52%
Smasha vs Lars 255–258 49.71%
Smasha vs Xiaoyu 235–243 49.16%
Smasha vs Lee 233–245 48.74%
Smasha vs Azucena 194–258 42.92%
Smasha vs Jun 164–245 40.10%
Smasha vs Eddy 189–216–3 46.67%
Smasha vs Asuka 144–245 37.02%
Smasha vs Victor 177–191 48.10%
Smasha vs Feng 152–203 42.82%
Smasha vs Nina 188–156 54.65%
Smasha vs Lidia 157–140 52.86%
Smasha vs Leroy 153–137 52.76%
Smasha vs Raven 120–162 42.55%
Smasha vs Devil Jin 101–178 36.20%
Smasha vs Leo 133–136 49.44%
Smasha vs Alisa 126–135 48.28%
Smasha vs Jack-8 103–151 40.55%
Smasha vs Fahkumram 96–136–1 41.38%
Smasha vs Armor King 83–123 40.29%
Smasha vs Anna 93–112 45.37%
Smasha vs Clive 72–108 40.00%
Smasha vs Kuma 79–92 46.20%
Smasha vs Claudio 88–79 52.69%
Smasha vs Zafina 77–73 51.33%
Smasha vs Shaheen 63–84 42.86%
Smasha vs Panda 38–51 42.70%
Smasha vs Miary Zo 48–41 53.93%

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.