Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smeargo vs Bryan 236–222 51.53%
Smeargo vs Jin 233–185 55.74%
Smeargo vs King 216–183 54.14%
Smeargo vs Kazuya 188–203 48.08%
Smeargo vs Steve 231–157 59.54%
Smeargo vs Hwoarang 195–179 52.14%
Smeargo vs Reina 190–178 51.63%
Smeargo vs Lili 141–172 45.05%
Smeargo vs Dragunov 152–148–1 50.67%
Smeargo vs Yoshimitsu 154–124 55.40%
Smeargo vs Law 122–135 47.47%
Smeargo vs Devil Jin 108–130 45.38%
Smeargo vs Jun 110–121 47.62%
Smeargo vs Paul 116–113 50.66%
Smeargo vs Azucena 121–102 54.26%
Smeargo vs Xiaoyu 109–111–1 49.55%
Smeargo vs Asuka 111–110 50.23%
Smeargo vs Lee 89–123 41.98%
Smeargo vs Nina 88–115 43.35%
Smeargo vs Victor 109–79 57.98%
Smeargo vs Lars 94–92 50.54%
Smeargo vs Eddy 78–108 41.94%
Smeargo vs Heihachi 91–88 50.84%
Smeargo vs Raven 84–91 48.00%
Smeargo vs Leo 76–95 44.44%
Smeargo vs Feng 71–79 47.33%
Smeargo vs Alisa 68–77 46.90%
Smeargo vs Jack-8 61–83 42.36%
Smeargo vs Lidia 73–69 51.41%
Smeargo vs Claudio 39–80 32.77%
Smeargo vs Zafina 55–58 48.67%
Smeargo vs Leroy 42–65 39.25%
Smeargo vs Shaheen 32–61 34.41%
Smeargo vs Fahkumram 52–41 55.91%
Smeargo vs Kuma 40–28 58.82%
Smeargo vs Clive 38–30 55.88%
Smeargo vs Anna 19–20 48.72%
Smeargo vs Panda 11–6 64.71%
Smeargo vs Miary Zo 8–9 47.06%
Smeargo vs Armor King 10–4 71.43%

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.