Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Michaelmodperry vs Lidia 28–27 50.91%
Michaelmodperry vs King 15–25 37.50%
Michaelmodperry vs Jin 15–16 48.39%
Michaelmodperry vs Reina 11–17 39.29%
Michaelmodperry vs Kazuya 13–13 50.00%
Michaelmodperry vs Lili 14–11 56.00%
Michaelmodperry vs Yoshimitsu 8–14 36.36%
Michaelmodperry vs Asuka 12–9 57.14%
Michaelmodperry vs Hwoarang 14–5 73.68%
Michaelmodperry vs Steve 9–10 47.37%
Michaelmodperry vs Victor 7–12 36.84%
Michaelmodperry vs Paul 10–8 55.56%
Michaelmodperry vs Dragunov 6–11 35.29%
Michaelmodperry vs Leo 8–9 47.06%
Michaelmodperry vs Azucena 4–13 23.53%
Michaelmodperry vs Jun 7–7 50.00%
Michaelmodperry vs Law 7–6 53.85%
Michaelmodperry vs Bryan 2–11 15.38%
Michaelmodperry vs Kuma 6–7 46.15%
Michaelmodperry vs Eddy 6–7 46.15%
Michaelmodperry vs Nina 2–9 18.18%
Michaelmodperry vs Leroy 4–6 40.00%
Michaelmodperry vs Lee 1–6 14.29%
Michaelmodperry vs Lars 2–4 33.33%
Michaelmodperry vs Devil Jin 3–2 60.00%
Michaelmodperry vs Xiaoyu 4–0 100.00%
Michaelmodperry vs Feng 2–2 50.00%
Michaelmodperry vs Claudio 1–3 25.00%
Michaelmodperry vs Jack-8 2–1 66.67%
Michaelmodperry vs Raven 0–3 0.00%
Michaelmodperry vs Fahkumram 2–1 66.67%
Michaelmodperry vs Shaheen 0–2 0.00%
Michaelmodperry vs Alisa 0–1 0.00%
Michaelmodperry vs Panda 0–1 0.00%

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.