Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FD-Smoke vs Bryan 94–88 51.65%
FD-Smoke vs Kazuya 95–86 52.49%
FD-Smoke vs Jin 90–60 60.00%
FD-Smoke vs Hwoarang 72–57 55.81%
FD-Smoke vs Reina 64–65 49.61%
FD-Smoke vs King 68–56 54.84%
FD-Smoke vs Heihachi 49–58 45.79%
FD-Smoke vs Paul 50–44 53.19%
FD-Smoke vs Dragunov 56–38 59.57%
FD-Smoke vs Law 52–40 56.52%
FD-Smoke vs Lee 45–41 52.33%
FD-Smoke vs Steve 47–38 55.29%
FD-Smoke vs Lili 36–43 45.57%
FD-Smoke vs Armor King 39–40 49.37%
FD-Smoke vs Yoshimitsu 37–38 49.33%
FD-Smoke vs Devil Jin 40–32 55.56%
FD-Smoke vs Feng 38–27 58.46%
FD-Smoke vs Alisa 25–30 45.45%
FD-Smoke vs Lars 25–29 46.30%
FD-Smoke vs Jun 22–29 43.14%
FD-Smoke vs Xiaoyu 29–20 59.18%
FD-Smoke vs Asuka 23–26 46.94%
FD-Smoke vs Lidia 23–21 52.27%
FD-Smoke vs Nina 32–11 74.42%
FD-Smoke vs Eddy 23–17 57.50%
FD-Smoke vs Azucena 22–17 56.41%
FD-Smoke vs Leroy 17–19 47.22%
FD-Smoke vs Raven 15–13 53.57%
FD-Smoke vs Jack-8 12–14 46.15%
FD-Smoke vs Victor 13–13 50.00%
FD-Smoke vs Clive 7–16 30.43%
FD-Smoke vs Leo 9–13 40.91%
FD-Smoke vs Claudio 10–11 47.62%
FD-Smoke vs Panda 9–9 50.00%
FD-Smoke vs Shaheen 5–11 31.25%
FD-Smoke vs Anna 7–9 43.75%
FD-Smoke vs Fahkumram 8–8 50.00%
FD-Smoke vs Miary Zo 5–8 38.46%
FD-Smoke vs Kuma 4–4 50.00%
FD-Smoke vs Zafina 3–4 42.86%

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.