Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smasha vs King 513–536 48.90%
Smasha vs Kazuya 437–383 53.29%
Smasha vs Bryan 410–390 51.25%
Smasha vs Jin 382–405 48.54%
Smasha vs Law 358–416 46.25%
Smasha vs Hwoarang 401–328 55.01%
Smasha vs Steve 366–353 50.90%
Smasha vs Reina 353–308 53.40%
Smasha vs Heihachi 272–349 43.80%
Smasha vs Paul 246–327 42.93%
Smasha vs Lili 264–302 46.64%
Smasha vs Yoshimitsu 249–305 44.95%
Smasha vs Dragunov 277–251 52.46%
Smasha vs Lars 253–256 49.71%
Smasha vs Xiaoyu 234–243 49.06%
Smasha vs Lee 232–245 48.64%
Smasha vs Azucena 194–257 43.02%
Smasha vs Jun 164–245 40.10%
Smasha vs Eddy 189–216–3 46.67%
Smasha vs Asuka 144–244 37.11%
Smasha vs Victor 177–189 48.36%
Smasha vs Feng 150–202 42.61%
Smasha vs Nina 183–153 54.46%
Smasha vs Lidia 157–140 52.86%
Smasha vs Leroy 151–137 52.43%
Smasha vs Devil Jin 101–178 36.20%
Smasha vs Raven 119–160 42.65%
Smasha vs Leo 133–136 49.44%
Smasha vs Alisa 126–133 48.65%
Smasha vs Jack-8 103–151 40.55%
Smasha vs Fahkumram 95–134–1 41.48%
Smasha vs Anna 91–112 44.83%
Smasha vs Armor King 80–118 40.40%
Smasha vs Clive 70–105 40.00%
Smasha vs Kuma 78–92 45.88%
Smasha vs Claudio 88–77 53.33%
Smasha vs Zafina 76–72 51.35%
Smasha vs Shaheen 63–84 42.86%
Smasha vs Panda 37–50 42.53%
Smasha vs Miary Zo 45–41 52.33%

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.