Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Kreamiest Pi

Ratings

Kreamiest Pi vs Jin 30–29 50.85%
Kreamiest Pi vs King 31–23 57.41%
Kreamiest Pi vs Kazuya 25–28 47.17%
Kreamiest Pi vs Law 25–23 52.08%
Kreamiest Pi vs Dragunov 24–22 52.17%
Kreamiest Pi vs Lili 17–25 40.48%
Kreamiest Pi vs Hwoarang 20–21 48.78%
Kreamiest Pi vs Bryan 14–26 35.00%
Kreamiest Pi vs Steve 21–19 52.50%
Kreamiest Pi vs Yoshimitsu 18–21 46.15%
Kreamiest Pi vs Jun 24–14 63.16%
Kreamiest Pi vs Reina 17–19 47.22%
Kreamiest Pi vs Asuka 19–15 55.88%
Kreamiest Pi vs Victor 19–13 59.38%
Kreamiest Pi vs Xiaoyu 9–20 31.03%
Kreamiest Pi vs Lee 11–15 42.31%
Kreamiest Pi vs Clive 11–13 45.83%
Kreamiest Pi vs Paul 13–10 56.52%
Kreamiest Pi vs Lars 11–11 50.00%
Kreamiest Pi vs Raven 10–12 45.45%
Kreamiest Pi vs Heihachi 8–14 36.36%
Kreamiest Pi vs Devil Jin 8–12 40.00%
Kreamiest Pi vs Nina 9–11 45.00%
Kreamiest Pi vs Azucena 8–10 44.44%
Kreamiest Pi vs Jack-8 7–10 41.18%
Kreamiest Pi vs Kuma 7–9 43.75%
Kreamiest Pi vs Leo 8–7 53.33%
Kreamiest Pi vs Alisa 8–5 61.54%
Kreamiest Pi vs Leroy 11–2 84.62%
Kreamiest Pi vs Eddy 3–7 30.00%
Kreamiest Pi vs Feng 8–1 88.89%
Kreamiest Pi vs Zafina 2–4 33.33%
Kreamiest Pi vs Claudio 2–3 40.00%
Kreamiest Pi vs Shaheen 4–0 100.00%
Kreamiest Pi vs Lidia 1–3 25.00%
Kreamiest Pi vs Panda 2–0 100.00%

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.