Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Floralgod vs Kazuya 41–70 36.94%
Floralgod vs Jin 57–43 57.00%
Floralgod vs Bryan 31–50 38.27%
Floralgod vs Lars 39–42 48.15%
Floralgod vs King 43–36 54.43%
Floralgod vs Reina 41–38 51.90%
Floralgod vs Hwoarang 34–38 47.22%
Floralgod vs Law 30–39 43.48%
Floralgod vs Steve 45–24 65.22%
Floralgod vs Eddy 30–36 45.45%
Floralgod vs Jun 26–29 47.27%
Floralgod vs Nina 26–27 49.06%
Floralgod vs Azucena 23–30 43.40%
Floralgod vs Yoshimitsu 24–26 48.00%
Floralgod vs Dragunov 29–21 58.00%
Floralgod vs Lili 22–27 44.90%
Floralgod vs Paul 16–32 33.33%
Floralgod vs Xiaoyu 24–24 50.00%
Floralgod vs Asuka 22–22 50.00%
Floralgod vs Lee 22–20 52.38%
Floralgod vs Victor 21–16 56.76%
Floralgod vs Leo 18–18 50.00%
Floralgod vs Feng 16–18 47.06%
Floralgod vs Jack-8 15–15 50.00%
Floralgod vs Armor King 11–16 40.74%
Floralgod vs Heihachi 7–17 29.17%
Floralgod vs Alisa 12–11 52.17%
Floralgod vs Raven 16–7 69.57%
Floralgod vs Leroy 12–10 54.55%
Floralgod vs Lidia 9–10 47.37%
Floralgod vs Shaheen 12–6 66.67%
Floralgod vs Kuma 9–8 52.94%
Floralgod vs Devil Jin 4–8 33.33%
Floralgod vs Anna 3–8 27.27%
Floralgod vs Zafina 6–3 66.67%
Floralgod vs Clive 4–5 44.44%
Floralgod vs Claudio 3–5 37.50%
Floralgod vs Panda 4–4 50.00%
Floralgod vs Fahkumram 1–4 20.00%

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.