Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Smelly_TK vs Kazuya 122–64 65.59%
Smelly_TK vs Jin 82–54 60.29%
Smelly_TK vs Dragunov 72–27 72.73%
Smelly_TK vs Bryan 63–31–1 67.02%
Smelly_TK vs Paul 60–34 63.83%
Smelly_TK vs Lee 61–30 67.03%
Smelly_TK vs Heihachi 50–41 54.95%
Smelly_TK vs Reina 57–29 66.28%
Smelly_TK vs Hwoarang 59–23 71.95%
Smelly_TK vs Lili 51–31 62.20%
Smelly_TK vs Steve 49–31 61.25%
Smelly_TK vs Clive 55–19 74.32%
Smelly_TK vs King 50–22 69.44%
Smelly_TK vs Law 43–27 61.43%
Smelly_TK vs Xiaoyu 46–21 68.66%
Smelly_TK vs Asuka 42–25 62.69%
Smelly_TK vs Yoshimitsu 50–14 78.12%
Smelly_TK vs Lars 42–22 65.62%
Smelly_TK vs Feng 40–23 63.49%
Smelly_TK vs Devil Jin 40–18 68.97%
Smelly_TK vs Victor 29–22 56.86%
Smelly_TK vs Lidia 29–22 56.86%
Smelly_TK vs Nina 32–15 68.09%
Smelly_TK vs Raven 24–19 55.81%
Smelly_TK vs Azucena 30–9 76.92%
Smelly_TK vs Jack-8 23–15 60.53%
Smelly_TK vs Jun 26–12 68.42%
Smelly_TK vs Claudio 29–7 80.56%
Smelly_TK vs Fahkumram 21–14 60.00%
Smelly_TK vs Eddy 18–16 52.94%
Smelly_TK vs Alisa 17–9 65.38%
Smelly_TK vs Leo 18–7 72.00%
Smelly_TK vs Armor King 9–13 40.91%
Smelly_TK vs Zafina 15–5 75.00%
Smelly_TK vs Anna 12–6 66.67%
Smelly_TK vs Kuma 12–4 75.00%
Smelly_TK vs Shaheen 10–5 66.67%
Smelly_TK vs Leroy 13–2 86.67%
Smelly_TK vs Panda 5–3 62.50%

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.