Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Impaldron vs Hwoarang 19–32 37.25%
Impaldron vs Reina 24–22 52.17%
Impaldron vs Jin 17–22 43.59%
Impaldron vs King 16–22 42.11%
Impaldron vs Steve 15–21 41.67%
Impaldron vs Bryan 11–21 34.38%
Impaldron vs Azucena 9–21 30.00%
Impaldron vs Law 7–20 25.93%
Impaldron vs Fahkumram 6–21 22.22%
Impaldron vs Dragunov 8–17 32.00%
Impaldron vs Heihachi 12–13 48.00%
Impaldron vs Lili 9–15 37.50%
Impaldron vs Yoshimitsu 8–15 34.78%
Impaldron vs Kazuya 10–13 43.48%
Impaldron vs Asuka 9–14 39.13%
Impaldron vs Lars 7–14 33.33%
Impaldron vs Jun 10–11 47.62%
Impaldron vs Raven 10–11 47.62%
Impaldron vs Leo 10–10 50.00%
Impaldron vs Victor 4–16 20.00%
Impaldron vs Leroy 8–9 47.06%
Impaldron vs Clive 6–11 35.29%
Impaldron vs Nina 7–9 43.75%
Impaldron vs Eddy 9–7 56.25%
Impaldron vs Alisa 7–7 50.00%
Impaldron vs Lidia 7–6 53.85%
Impaldron vs Zafina 4–7 36.36%
Impaldron vs Armor King 2–9 18.18%
Impaldron vs Shaheen 6–4 60.00%
Impaldron vs Xiaoyu 3–4 42.86%
Impaldron vs Feng 1–6 14.29%
Impaldron vs Jack-8 2–4 33.33%
Impaldron vs Paul 2–3 40.00%
Impaldron vs Lee 4–1 80.00%
Impaldron vs Miary Zo 0–5 0.00%
Impaldron vs Kuma 2–2 50.00%
Impaldron vs Anna 1–2 33.33%
Impaldron vs Devil Jin 0–2 0.00%
Impaldron vs Claudio 0–2 0.00%
Impaldron 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.