Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Phaatens vs Jin 72–52 58.06%
Phaatens vs Reina 56–50 52.83%
Phaatens vs Kazuya 53–50 51.46%
Phaatens vs Bryan 60–42 58.82%
Phaatens vs Lars 61–39 61.00%
Phaatens vs King 56–40 58.33%
Phaatens vs Steve 42–46 47.73%
Phaatens vs Dragunov 56–30 65.12%
Phaatens vs Hwoarang 42–34 55.26%
Phaatens vs Yoshimitsu 46–23 66.67%
Phaatens vs Lili 43–26 62.32%
Phaatens vs Lee 48–19 71.64%
Phaatens vs Law 43–21 67.19%
Phaatens vs Nina 33–26 55.93%
Phaatens vs Azucena 34–25 57.63%
Phaatens vs Asuka 33–24 57.89%
Phaatens vs Jun 32–24 57.14%
Phaatens vs Xiaoyu 38–15 71.70%
Phaatens vs Feng 35–17 67.31%
Phaatens vs Paul 29–21 58.00%
Phaatens vs Jack-8 39–11 78.00%
Phaatens vs Devil Jin 33–17 66.00%
Phaatens vs Claudio 32–17 65.31%
Phaatens vs Victor 24–25 48.98%
Phaatens vs Alisa 36–10 78.26%
Phaatens vs Leo 28–16 63.64%
Phaatens vs Eddy 25–17 59.52%
Phaatens vs Raven 21–16 56.76%
Phaatens vs Heihachi 23–11 67.65%
Phaatens vs Leroy 18–15 54.55%
Phaatens vs Lidia 14–19 42.42%
Phaatens vs Fahkumram 23–9 71.88%
Phaatens vs Armor King 24–8 75.00%
Phaatens vs Shaheen 13–17 43.33%
Phaatens vs Clive 15–15 50.00%
Phaatens vs Zafina 16–9 64.00%
Phaatens vs Kuma 17–5 77.27%
Phaatens vs Anna 7–11 38.89%
Phaatens vs Panda 2–6 25.00%
Phaatens vs Miary Zo 2–3 40.00%

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.