Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Heartz vs Jin 574–663–1 46.40%
Heartz vs Kazuya 585–551 51.50%
Heartz vs King 579–494 53.96%
Heartz vs Bryan 475–583 44.90%
Heartz vs Hwoarang 376–403 48.27%
Heartz vs Reina 412–360 53.37%
Heartz vs Paul 313–408 43.41%
Heartz vs Steve 297–350 45.90%
Heartz vs Heihachi 295–346 46.02%
Heartz vs Dragunov 296–326 47.59%
Heartz vs Lili 264–311 45.91%
Heartz vs Law 363–211 63.24%
Heartz vs Yoshimitsu 261–258 50.29%
Heartz vs Nina 226–270 45.56%
Heartz vs Jun 205–285 41.84%
Heartz vs Xiaoyu 188–274 40.69%
Heartz vs Lee 208–239 46.53%
Heartz vs Eddy 195–247 44.12%
Heartz vs Devil Jin 207–226–1 47.81%
Heartz vs Asuka 156–273 36.36%
Heartz vs Feng 162–247 39.61%
Heartz vs Azucena 179–202 46.98%
Heartz vs Alisa 193–187 50.79%
Heartz vs Lidia 172–180 48.86%
Heartz vs Jack-8 137–202 40.41%
Heartz vs Leroy 147–183 44.55%
Heartz vs Lars 134–189 41.49%
Heartz vs Victor 137–142 49.10%
Heartz vs Clive 144–123 53.93%
Heartz vs Claudio 119–113 51.29%
Heartz vs Anna 129–93 58.11%
Heartz vs Leo 60–130 31.58%
Heartz vs Raven 60–112 34.88%
Heartz vs Kuma 62–99 38.51%
Heartz vs Zafina 49–106 31.61%
Heartz vs Shaheen 43–102 29.66%
Heartz vs Fahkumram 42–83 33.60%
Heartz vs Armor King 38–64 37.25%
Heartz vs Panda 16–35 31.37%
Heartz vs Miary Zo 7–12 36.84%

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.