Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
PolaroidTaco

Ratings

PolaroidTaco vs Reina 25–31 44.64%
PolaroidTaco vs Jin 27–28 49.09%
PolaroidTaco vs King 21–31 40.38%
PolaroidTaco vs Kazuya 22–25 46.81%
PolaroidTaco vs Hwoarang 18–28 39.13%
PolaroidTaco vs Yoshimitsu 21–24 46.67%
PolaroidTaco vs Steve 19–24 44.19%
PolaroidTaco vs Lidia 18–19 48.65%
PolaroidTaco vs Jun 11–24 31.43%
PolaroidTaco vs Azucena 13–20 39.39%
PolaroidTaco vs Lili 15–17 46.88%
PolaroidTaco vs Asuka 11–20 35.48%
PolaroidTaco vs Victor 11–13 45.83%
PolaroidTaco vs Law 10–13 43.48%
PolaroidTaco vs Lars 9–14 39.13%
PolaroidTaco vs Jack-8 10–12 45.45%
PolaroidTaco vs Eddy 9–13 40.91%
PolaroidTaco vs Nina 10–10 50.00%
PolaroidTaco vs Leo 8–10 44.44%
PolaroidTaco vs Alisa 8–10 44.44%
PolaroidTaco vs Lee 6–12 33.33%
PolaroidTaco vs Dragunov 5–12 29.41%
PolaroidTaco vs Paul 6–10 37.50%
PolaroidTaco vs Xiaoyu 5–11 31.25%
PolaroidTaco vs Raven 5–10 33.33%
PolaroidTaco vs Bryan 4–10 28.57%
PolaroidTaco vs Devil Jin 5–9 35.71%
PolaroidTaco vs Leroy 6–8 42.86%
PolaroidTaco vs Clive 5–7 41.67%
PolaroidTaco vs Feng 3–7 30.00%
PolaroidTaco vs Claudio 3–7 30.00%
PolaroidTaco vs Shaheen 4–3 57.14%
PolaroidTaco vs Heihachi 1–6 14.29%
PolaroidTaco vs Panda 3–3 50.00%
PolaroidTaco vs Zafina 2–4 33.33%
PolaroidTaco vs Kuma 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.