Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

PringlesCan vs Armor King 50–34 59.52%
PringlesCan vs Kazuya 29–20 59.18%
PringlesCan vs Reina 19–19 50.00%
PringlesCan vs King 22–11 66.67%
PringlesCan vs Jin 13–12 52.00%
PringlesCan vs Azucena 15–10 60.00%
PringlesCan vs Heihachi 15–8 65.22%
PringlesCan vs Law 13–6 68.42%
PringlesCan vs Steve 12–6 66.67%
PringlesCan vs Asuka 10–8 55.56%
PringlesCan vs Bryan 9–8 52.94%
PringlesCan vs Lee 12–5 70.59%
PringlesCan vs Lili 9–7 56.25%
PringlesCan vs Fahkumram 7–8 46.67%
PringlesCan vs Paul 8–6 57.14%
PringlesCan vs Leo 4–10 28.57%
PringlesCan vs Yoshimitsu 6–6 50.00%
PringlesCan vs Dragunov 8–4 66.67%
PringlesCan vs Jun 9–3 75.00%
PringlesCan vs Eddy 9–3 75.00%
PringlesCan vs Hwoarang 6–5 54.55%
PringlesCan vs Raven 8–3 72.73%
PringlesCan vs Xiaoyu 6–4 60.00%
PringlesCan vs Devil Jin 6–4 60.00%
PringlesCan vs Lars 6–4 60.00%
PringlesCan vs Anna 4–6 40.00%
PringlesCan vs Feng 5–4 55.56%
PringlesCan vs Victor 2–6 25.00%
PringlesCan vs Clive 3–5 37.50%
PringlesCan vs Leroy 3–3 50.00%
PringlesCan vs Nina 2–3 40.00%
PringlesCan vs Jack-8 0–2 0.00%
PringlesCan vs Alisa 0–2 0.00%
PringlesCan vs Claudio 2–0 100.00%
PringlesCan vs Lidia 0–2 0.00%
PringlesCan vs Miary Zo 0–2 0.00%
PringlesCan vs Kuma 1–0 100.00%
PringlesCan vs Zafina 1–0 100.00%

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.