Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Flameidol vs King 84–100–1 45.65%
Flameidol vs Jin 73–89 45.06%
Flameidol vs Kazuya 80–75 51.61%
Flameidol vs Hwoarang 77–63 55.00%
Flameidol vs Reina 78–59 56.93%
Flameidol vs Steve 63–73 46.32%
Flameidol vs Bryan 48–58 45.28%
Flameidol vs Paul 42–58 42.00%
Flameidol vs Azucena 55–43 56.12%
Flameidol vs Eddy 47–41 53.41%
Flameidol vs Law 51–35 59.30%
Flameidol vs Devil Jin 40–43 48.19%
Flameidol vs Lee 41–39 51.25%
Flameidol vs Feng 44–34 56.41%
Flameidol vs Lars 41–37 52.56%
Flameidol vs Xiaoyu 31–45 40.79%
Flameidol vs Yoshimitsu 44–31 58.67%
Flameidol vs Dragunov 24–50 32.43%
Flameidol vs Lili 42–27 60.87%
Flameidol vs Jun 39–30 56.52%
Flameidol vs Victor 27–42 39.13%
Flameidol vs Asuka 38–30 55.88%
Flameidol vs Heihachi 24–34 41.38%
Flameidol vs Nina 29–28 50.88%
Flameidol vs Clive 31–25 55.36%
Flameidol vs Alisa 32–19 62.75%
Flameidol vs Jack-8 27–23 54.00%
Flameidol vs Leroy 23–27 46.00%
Flameidol vs Raven 24–24 50.00%
Flameidol vs Leo 29–16 64.44%
Flameidol vs Claudio 19–18 51.35%
Flameidol vs Kuma 12–19 38.71%
Flameidol vs Lidia 9–20 31.03%
Flameidol vs Zafina 15–12 55.56%
Flameidol vs Shaheen 8–11 42.11%
Flameidol vs Armor King 8–5 61.54%
Flameidol vs Panda 5–5 50.00%
Flameidol vs Miary Zo 4–1 80.00%
Flameidol vs Anna 1–2 33.33%

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.