Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Ialameer vs Jin 119–115 50.85%
Ialameer vs Kazuya 81–107 43.09%
Ialameer vs King 83–96 46.37%
Ialameer vs Bryan 76–99 43.43%
Ialameer vs Armor King 62–82 43.06%
Ialameer vs Law 70–65 51.85%
Ialameer vs Dragunov 57–65–1 46.72%
Ialameer vs Paul 65–56 53.72%
Ialameer vs Steve 54–49 52.43%
Ialameer vs Yoshimitsu 42–49 46.15%
Ialameer vs Heihachi 44–47 48.35%
Ialameer vs Hwoarang 31–47 39.74%
Ialameer vs Nina 35–32 52.24%
Ialameer vs Fahkumram 28–34 45.16%
Ialameer vs Eddy 30–30 50.00%
Ialameer vs Clive 38–22 63.33%
Ialameer vs Devil Jin 25–20 55.56%
Ialameer vs Alisa 20–25 44.44%
Ialameer vs Lee 20–24 45.45%
Ialameer vs Anna 19–23 45.24%
Ialameer vs Asuka 14–27 34.15%
Ialameer vs Feng 14–25 35.90%
Ialameer vs Lars 19–20 48.72%
Ialameer vs Claudio 16–21 43.24%
Ialameer vs Reina 14–23 37.84%
Ialameer vs Victor 18–17 51.43%
Ialameer vs Leroy 22–12 64.71%
Ialameer vs Azucena 19–15 55.88%
Ialameer vs Jun 10–19 34.48%
Ialameer vs Miary Zo 11–17 39.29%
Ialameer vs Lili 13–13 50.00%
Ialameer vs Xiaoyu 9–13 40.91%
Ialameer vs Raven 8–11 42.11%
Ialameer vs Lidia 12–6 66.67%
Ialameer vs Leo 8–7 53.33%
Ialameer vs Zafina 10–4 71.43%
Ialameer vs Shaheen 4–8 33.33%
Ialameer vs Kuma 3–7 30.00%
Ialameer vs Panda 3–0 100.00%
Ialameer vs Jack-8 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.