Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MadDogOfMexico vs Heihachi 28–29 49.12%
MadDogOfMexico vs Kazuya 34–20 62.96%
MadDogOfMexico vs Jun 19–30 38.78%
MadDogOfMexico vs Reina 27–19 58.70%
MadDogOfMexico vs King 16–21 43.24%
MadDogOfMexico vs Jin 13–20 39.39%
MadDogOfMexico vs Yoshimitsu 13–10 56.52%
MadDogOfMexico vs Hwoarang 13–9 59.09%
MadDogOfMexico vs Law 12–9 57.14%
MadDogOfMexico vs Bryan 6–14 30.00%
MadDogOfMexico vs Azucena 10–10 50.00%
MadDogOfMexico vs Nina 6–13 31.58%
MadDogOfMexico vs Steve 4–14 22.22%
MadDogOfMexico vs Lidia 9–9 50.00%
MadDogOfMexico vs Lili 5–12 29.41%
MadDogOfMexico vs Alisa 13–4 76.47%
MadDogOfMexico vs Feng 1–13 7.14%
MadDogOfMexico vs Dragunov 8–6 57.14%
MadDogOfMexico vs Eddy 4–7 36.36%
MadDogOfMexico vs Jack-8 5–5 50.00%
MadDogOfMexico vs Lee 3–7 30.00%
MadDogOfMexico vs Claudio 5–4 55.56%
MadDogOfMexico vs Leo 3–5 37.50%
MadDogOfMexico vs Victor 4–4 50.00%
MadDogOfMexico vs Paul 3–4 42.86%
MadDogOfMexico vs Asuka 0–6 0.00%
MadDogOfMexico vs Lars 6–0 100.00%
MadDogOfMexico vs Raven 2–2 50.00%
MadDogOfMexico vs Clive 2–2 50.00%
MadDogOfMexico vs Devil Jin 0–3 0.00%
MadDogOfMexico vs Leroy 2–1 66.67%
MadDogOfMexico vs Xiaoyu 0–2 0.00%
MadDogOfMexico vs Shaheen 1–1 50.00%
MadDogOfMexico vs Panda 0–2 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.